81 results
(View BibTeX file of all listed publications)
2023
Multi-segmented Adaptive Feet for Versatile Legged Locomotion in Natural Terrain
(Outstanding locomotion paper award)
Chatterjee, A., Mo, A., Kiss, B., Goenen, E. C., Badri-Spröwitz, A.
2023 IEEE International Conference on Robotics and Automation (ICRA 2023), pages: 1162-1169 , IEEE, Piscataway, NJ, IEEE International Conference on Robotics and Automation (ICRA), June 2023 (conference)
Most legged robots are built with leg structures from serially mounted links and actuators and are controlled through complex controllers and sensor feedback. In comparison, animals developed multi-segment legs, mechanical coupling between joints, and multi-segmented feet. They run agile over all terrains, arguably with simpler locomotion control. Here we focus on developing foot mechanisms that resist slipping and sinking also in natural terrain. We present first results of multi-segment feet mounted to a bird-inspired robot leg with multi-joint mechanical tendon coupling. Our one- and two-segment, mechanically adaptive feet show increased viable horizontal forces on multiple soft and hard substrates before starting to slip. We also observe that segmented feet reduce sinking on soft substrates compared to ball-feet and cylinder feet. We report how multi-segmented feet provide a large range of viable centre of pressure points well suited for bipedal robots, but also for quadruped robots on slopes and natural terrain. Our results also offer a functional understanding of segmented feet in animals like ratite birds.
Virtual pivot point in human walking: always experimentally observed but simulations suggest it may not be necessary for stability
Schreff, L., Haeufle, D. F. B., Badri-Spröwitz, A., Vielemeyer, J., Müller, R.
Journal of Biomechanics, 153, May 2023 (article)
The intersection of ground reaction forces near a point above the center of mass has been observed in computer simulation models and human walking experiments. Observed so ubiquitously, the intersection point (IP) is commonly assumed to provide postural stability for bipedal walking. In this study, we challenge this assumption by questioning if walking without an IP is possible. Deriving gaits with a neuromuscular reflex model through multi-stage optimization, we found stable walking patterns that show no signs of the IP-typical intersection of ground reaction forces. The non-IP gaits found are stable and successfully rejected step-down perturbations, which indicates that an IP is not necessary for locomotion robustness or postural stability. A collision-based analysis shows that non-IP gaits feature center of mass (CoM) dynamics with vectors of the CoM velocity and ground reaction force increasingly opposing each other, indicating an increased mechanical cost of transport. Although our computer simulation results have yet to be confirmed through experimental studies, they already indicate that the role of the IP in postural stability should be further investigated. Moreover, our observations on the CoM dynamics and gait efficiency suggest that the IP may have an alternative or additional function that should be considered.
Muscle prestimulation tunes velocity preflex in simulated perturbed hopping
Izzi, F., Mo, A., Schmitt, S., Badri-Spröwitz, A., Häufle, D.
Scientific Reports, 13, pages: 4559, Nature Publishing Group, March 2023 (article)
Muscle fibres possess unique visco-elastic properties, which generate a stabilising zero-delay response to unexpected perturbations. This instantaneous response—termed “preflex”—mitigates neuro-transmission delays, which are hazardous during fast locomotion due to the short stance duration. While the elastic contribution to preflexes has been studied extensively, the function of fibre viscosity due to the force–velocity relation remains unknown. In this study, we present a novel approach to isolate and quantify the preflex force produced by the force–velocity relation in musculo-skeletal computer simulations. We used our approach to analyse the muscle response to ground-level perturbations in simulated vertical hopping. Our analysis focused on the preflex-phase—the first 30 ms after impact—where neuronal delays render a controlled response impossible. We found that muscle force at impact and dissipated energy increase with perturbation height, helping reject the perturbations. However, the muscle fibres reject only 15% of step-down perturbation energy with constant stimulation. An open-loop rising stimulation, observed in locomotion experiments, amplified the regulatory effects of the muscle fibre’s force–velocity relation, resulting in 68% perturbation energy rejection. We conclude that open-loop neuronal tuning of muscle activity around impact allows for adequate feed-forward tuning of muscle fibre viscous capacity, facilitating energy adjustment to unexpected ground-level perturbations.
Slack-based tunable damping leads to a trade-off between robustness and efficiency in legged locomotion
Mo, A., Izzi, F., Gönen, E. C., Häufle, D., Badri-Spröwitz, A.
Scientific Reports, 13, pages: 3290, Nature Publishing Group, February 2023 (article)
Animals run robustly in diverse terrain. This locomotion robustness is puzzling because axon conduction velocity is limited to a few ten meters per second. If reflex loops deliver sensory information with significant delays, one would expect a destabilizing effect on sensorimotor control. Hence, an alternative explanation describes a hierarchical structure of low-level adaptive mechanics and high-level sensorimotor control to help mitigate the effects of transmission delays. Motivated by the concept of an adaptive mechanism triggering an immediate response, we developed a tunable physical damper system. Our mechanism combines a tendon with adjustable slackness connected to a physical damper. The slack damper allows adjustment of damping force, onset timing, effective stroke, and energy dissipation. We characterize the slack damper mechanism mounted to a legged robot controlled in open-loop mode. The robot hops vertically and planar over varying terrains and perturbations. During forward hopping, slack-based damping improves faster perturbation recovery (up to 170%) at higher energetic cost (27%). The tunable slack mechanism auto-engages the damper during perturbations, leading to a perturbation-trigger damping, improving robustness at minimum energetic cost. With the results from the slack damper mechanism, we propose a new functional interpretation of animals' redundant muscle tendons as tunable dampers.
Muscle Preflex Response to Perturbations in locomotion: In-vitro experiments and simulations with realistic boundary conditions
Araz, M., Weidner, S., Izzi, F., Badri-Spröwitz, A., Siebert, T., Haeufle, D. F. B.
Frontiers in Bioengineering and Biotechnology, 11, 2023 (article)
Neuromuscular control loops feature substantial communication delays, but mammals run robustly even in the most adverse conditions. In-vivo experiments and computer simulation results suggest that muscles’ preflex—an immediate mechanical response to a perturbation—could be the critical contributor. Muscle preflexes act within a few milliseconds, an order of magnitude faster than neural reflexes. Their short-lasting activity makes mechanical preflexes hard to quantify in-vivo. Muscle models, on the other hand, require further improvement of their prediction accuracy during the non-standard conditions of perturbed locomotion. Additionally, muscles mechanically adapt by increased damping force. Our study aims to quantify the mechanical preflex work and test its mechanical force adaptation. We performed in-vitro experiments with biological muscle fibers under physiological boundary conditions, which we determined in computer simulations of perturbed hopping. Our findings show that muscles initially resist impacts with a stereotypical sti↵ness response—identified as short-range sti↵ness—regardless of the exact perturbation condition. We then observe a velocity adaptation to the force related to the amount of perturbation. The main contributor to the preflex work adaptation is not the force di↵erence but the muscle fiber stretch di↵erence. We find that both muscle sti↵ness and damping are activity-dependent properties. These results indicate that neural control could tune the preflex properties of muscles in expectation of ground conditions leading to previously inexplicable neuromuscular adaptation speeds.
Upside down: affordable high-performance motion platform
Pradhan, N. M. S., Frank, P., Mo, A., Badri-Spröwitz, A.
arXiv, 2023 (conference) Accepted
Parallel robots are capable of high-speed manipulation and have become essential tools in the industry. The proximal placement of their motors and the low weight of their end effectors make them ideal for generating highly dynamic motion. Therefore, parallel robots can be adopted for motion platform designs, as long as end effector loads are low. Traditional motion platforms can be large and powerful to generate multiple g acceleration. However, these designs tend to be expensive and large. Similar but smaller motion platforms feature a small work range with reduced degrees of freedom (DoFs) and a limited payload. Here we seek a medium-sized affordable parallel robot capable of powerful and high-speed 6-DoF motion in a comparably large workspace. This work explores the concept of a quadruped robot flipped upside-down, with the motion platform fixed between its feet. In particular, we exploit the high-power dynamic brushless actuation and the four-leg redundancy when moving the motion platform. We characterize the resulting motion platform by tracking sinusoidal and circular trajectories with varying loads. Dynamic motions in 6 DoFs up to 10 Hz and ± 10 mm amplitude are possible when moving a mass of 300 grams. We demonstrate single-axis end-effector translations up to ± 20 mm at 10 Hz for higher loads of 1.2 kg. The motion platform can be replicated easily by 3D printing and off-the-shelf components. All motion platform-related hardware and the custom-written software required to replicate are open-source.
2022
Physically Modelling Fluid- and Soft-tissue Mechanics of Lumbosacral Intraspinal Mechanosensing in Avians
Mo, A., Kamska, V., Bribiesca-Contreras, F., Hauptmann, J., Daley, M., Badri-Spröwitz, A.
arxiv, December 2022 (article) Submitted
The lumbosacral organ (LSO) is a lumbosacral spinal canal morphology that is universally and uniquely found in birds. Recent studies suggested an intraspinal mechanosensor function that relies on the compliant motion of soft tissue in the spinal cord fluid. It has not yet been possible to observe LSO soft tissue motion in vivo due to limitations of imaging technologies. As an alternative approach, we developed an artificial biophysical model of the LSO, and characterize the dynamic responses of this model when entrained by external motion. The parametric model incorporates morphological and material properties of the LSO. We varied the model's parameters to study the influence of individual features on the system response. We characterized the system in a locomotion simulator, producing vertical oscillations similar to the trunk motions. We show how morphological and material properties effectively shape the system's oscillation characteristics. We conclude that external oscillations could entrain the soft tissue of the intraspinal lumbosacral organ during locomotion, consistent with recently proposed sensing mechanisms.
Diaphragm Ankle Actuation for Efficient Series Elastic Legged Robot Hopping
Bolignari, M., Mo, A., Fontana, M., Badri-Spröwitz, A.
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, IROS2022, October 2022 (conference) In press
Robots need lightweight legs for agile locomotion, and intrinsic series elastic compliance has proven to be a major ingredient for energy-efficient locomotion and robust locomotion control. Animals' anatomy and locomotion capabilities emphasize the importance of that lightweight legs and integrated, compact, series elastically actuated for distal leg joints. But unlike robots, animals achieve series elastic actuation by their muscle-tendon units. So far no designs are available that feature all characteristics of a perfect distal legged locomotion actuator; a low-weight and low-inertia design, with high mechanical efficiency, no stick and sliding friction, low mechanical complexity, high-power output while being easy to mount. Ideally, such an actuator can be controlled directly and without mechanical cross-coupling, for example remotely. With this goal in mind, we propose a low-friction, lightweight Series ELastic Diaphragm distal Actuator (SELDA) which meets many, although not all, of the above requirements. We develop, implement, and characterize a bioinspired robot leg that features a SELDA-actuated foot segment. We compare two leg configurations controlled by a central pattern generator that both feature agile forward hopping. By tuning SELDA's activation timing, we effectively adjust the robot's hopping height by 11% and its forward velocity by 14%, even with comparatively low power injection to the distal joint.
Gastrocnemius and Power Amplifier Soleus Spring-Tendons Achieve Fast Human-like Walking in a Bipedal Robot
Kiss, B., Gonen, E. C., Mo, A., Buchmann, A., Renjewski, D., Badri-Spröwitz, A.
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, IROS2022, October 2022 (conference) In press
Legged locomotion in humans is governed by natural dynamics of the human body and neural control. One mechanism that is assumed to contribute to the high efficiency of human walking is the impulsive ankle push-off, which potentially powers the swing leg catapult. However, the mechanics of the human’s lower leg with its complex muscle-tendon units spanning over single and multiple joints is not yet understood. Legged robots allow testing the interaction between complex leg mechanics, control, and environment in real-world walking gait. We developed a 0.49 m tall, 2.2 kg anthropomorphic bipedal robot with Soleus and Gastrocnemius muscle-tendon units represented by linear springs, acting as mono- and biarticular elastic structures around the robot’s ankle and knee joints. We tested the influence of three Soleus and Gastrocnemius spring-tendon configurations on the ankle power curves, the coordination of the ankle and knee joint movements, the total cost of transport, and walking speed. We controlled the robot with a feed-forward central pattern generator, leading to walking speeds between 0.35 m/s and 0.57 m/s at 1.0 Hz locomotion frequency, at 0.35 m leg length. We found differences between all three configurations; the Soleus spring-tendon modulates the robot’s speed and energy efficiency likely by ankle power amplification, while the Gastrocnemius spring-tendon changes the movement coordination between knee and ankle joints during push-off.
Power to the springs: Passive elements are sufficient to drive push-off in human walking
Buchmann, A., Kiss, B., Badri-Spröwitz, A., Renjewski, D.
In Robotics in Natural Settings , pages: 21-32, Lecture Notes in Networks and Systems, 530, (Editors: Cascalho, José M. and Tokhi, Mohammad Osman and Silva, Manuel F. and Mendes, Armando and Goher, Khaled and Funk, Matthias), Springer, Cham, 25th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machine (CLAWAR 2022), August 2022 (inproceedings)
For the impulsive ankle push-off (APO) observed in human
walking two muscle-tendon-units (MTUs) spanning the ankle joint play
an important role: Gastrocnemius (GAS) and Soleus (SOL). GAS and
SOL load the Achilles tendon to store elastic energy during stance followed by a rapid energy release during APO. We use a neuromuscular
simulation (NMS) and a bipedal robot to investigate the role of GAS and
SOL on the APO. We optimize the simulation for a robust gait and then
sequentially replace the MTUs of (1) GAS, (2) SOL and (3) GAS and SOL
by linear springs. To validate the simulation, we implement NMS-3 on
a bipedal robot. Simulation and robot walk steady for all trials showing
an impulsive APO. Our results imply that the elastic MTU properties
shape the impulsive APO. For prosthesis or robot design that is, no
complex ankle actuation is needed to obtain an impulsive APO, if more
mechanical intelligence is incorporated in the design.
Learning plastic matching of robot dynamics in closed-loop central pattern generators
Ruppert, F., Badri-Spröwitz, A.
Nature Machine Intelligence, 4(7):652-660, July 2022 (article)
Animals achieve agile locomotion performance with reduced control effort and energy efficiency by leveraging compliance in their muscles and tendons. However, it is not known how biological locomotion controllers learn to leverage the intelligence embodied in their leg mechanics. Here we present a framework to match control patterns and mechanics based on the concept of short-term elasticity and long-term plasticity. Inspired by animals, we design a robot, Morti, with passive elastic legs. The quadruped robot Morti is controlled by a bioinspired closed-loop central pattern generator that is designed to elastically mitigate short-term perturbations using sparse contact feedback. By minimizing the amount of corrective feedback on the long term, Morti learns to match the controller to its mechanics and learns to walk within 1 h. By leveraging the advantages of its mechanics, Morti improves its energy efficiency by 42% without explicit minimization in the cost function.
Learning Plastic Matching of Robot Dynamics in Closed-Loop Central Pattern Generators: Data
Ruppert, F., Badri-Spröwitz, A.
Edmond, May 2022 (techreport)
BirdBot achieves energy-efficient gait with minimal control using avian-inspired leg clutching
Badri-Spröwitz, A., Sarvestani, A. A., Sitti, M., Daley, M. A.
Science Robotics, 7(64):eabg4055, March 2022 (article)
Designers of legged robots are challenged with creating mechanisms that allow energy-efficient locomotion with robust and minimalistic control. Sources of high energy costs in legged robots include the rapid loading and high forces required to support the robot’s mass during stance and the rapid cycling of the leg’s state between stance and swing phases. Here, we demonstrate an avian-inspired robot leg design, BirdBot, that challenges the reliance on rapid feedback control for joint coordination and replaces active control with intrinsic, mechanical coupling, reminiscent of a self-engaging and disengaging clutch. A spring tendon network rapidly switches the leg’s slack segments into a loadable state at touchdown, distributes load among joints, enables rapid disengagement at toe-off through elastically stored energy, and coordinates swing leg flexion. A bistable joint mediates the spring tendon network’s disengagement at the end of stance, powered by stance phase leg angle progression. We show reduced knee-flexing torque to a 10th of what is required for a nonclutching, parallel-elastic leg design with the same kinematics, whereas spring-based compliance extends the leg in stance phase. These mechanisms enable bipedal locomotion with four robot actuators under feedforward control, with high energy efficiency. The robot offers a physical model demonstration of an avian-inspired, multiarticular elastic coupling mechanism that can achieve self-stable, robust, and economic legged locomotion with simple control and no sensory feedback. The proposed design is scalable, allowing the design of large legged robots. BirdBot demonstrates a mechanism for self-engaging and disengaging parallel elastic legs that are contact-triggered by the foot’s own lever-arm action.
Data for BirdBot Achieves Energy-Efficient Gait with Minimal Control Using Avian-Inspired Leg Clutching
Badri-Spröwitz, A., Sarvestani, A. A., Sitti, M., Daley, M. A.
Edmond, March 2022 (techreport)
A Novel Spider-Inspired Rotary-Rolling Diaphragm Actuator with Linear Torque Characteristic and High Mechanical Efficiency
Hepp, J., Badri-Spröwitz, A.
Soft Robotics, 19(2):364-375, Mary Ann Liebert, Inc., 2022 (article)
2021
Hybrid Parallel Compliance Allows Robots to Operate With Sensorimotor Delays and Low Control Frequencies
Milad Shafiee Ashtiani, , Alborz Aghamaleki Sarvestani, , Badri-Spröwitz, A.
Frontiers in Robotics and AI, 8(na):645748, (Editors: Dai Owaki, Tohoku University, Japan), June 2021 (article)
Animals locomote robustly and agile, albeit significant sensorimotor delays of their nervous system and the harsh loading conditions resulting from repeated, high-frequent impacts. The engineered sensorimotor control in legged robots is implemented with high control frequencies, often in the kilohertz range. Consequently, robot sensors and actuators can be polled within a few milliseconds. However, especially at harsh impacts with unknown touch-down timing, controllers of legged robots can become unstable, while animals are seemingly not affected. We examine this discrepancy and suggest and implement a hybrid system consisting of a parallel compliant leg joint with varying amounts of passive stiffness and a virtual leg length controller. We present systematic experiments both in computer simulation and robot hardware. Our system shows previously unseen robustness, in the presence of sensorimotor delays up to 60 ms, or control frequencies as low as 20 Hz, for a drop landing task from 1.3 leg lengths high and with a compliance ratio (fraction of physical stiffness of the sum of virtual and physical stiffness) of 0.7. In computer simulations, we report successful drop-landings from 3.8 leg lengths (1.2 m) for a 2 kg quadruped robot with 100 Hz control frequency and a sensorimotor delay of 35 ms.
A little damping goes a long way
Heim, S., Millard, M., Mouel, C. L., Badri-Spröwitz, A.
In Integrative and Comparative Biology, 61(Supplement 1):E367-E367, Oxford University Press, Society for Integrative and Comparative Biology Annual Meeting (SICB Annual Meeting 2021) , March 2021 (inproceedings)
Effects of tendon-network mechanisms on avian terrestrial locomotion
Contreras, F. B., Daley, M., Badri-Spröwitz, A.
In Integrative and Comparative Biology, 61(Supplement 1):E89-E90, Oxford University Press, Society for Integrative and Comparative Biology Annual Meeting (SICB Annual Meeting 2021), January 2021 (inproceedings)
Developing a mechanical model for intraspinal mechanosensing in avians
Mo, A., Kamska, V., Contreras, F. B., Daley, M., Badri-Spröwitz, A.
In Integrative and Comparative Biology , 61(Supplement 1):E618-E619, Oxford University Press, Society for Integrative and Comparative Biology Annual Meeting (SICB Annual Meeting 2021), January 2021 (inproceedings)
Associating functional morphology of the lumbosacral organ and locomotion modalities in avians
Kamska, V., Contreras, F. B., Daley, M., Badri-Spröwitz, A.
In Integrative and Comparative Biology, 61(Supplement 1):E437-E437, Oxford University Press, Society for Integrative and Comparative Biology Annual Meeting (SICB Annual Meeting 2021), January 2021 (inproceedings)
Tackling sensorimotor delays and low control update frequencies during drop impacts with hybrid parallel leg compliance
Ashtiani, M. S., Sarvestani, A. A., Badri-Spröwitz, A.
The 9.5th international symposium on Adaptive Motion of Animals and Machines. Ottawa，Canada (Virtual Platform). 2021-06-22/25. Adaptive Motion of Animals and Machines Organizing Committee., pages: 3, Adaptive Motion of Animals and Machines Organizing Committee, Adaptive Motion of Animals and Machines, 2021 (conference)
2020
Virtual Point Control for Step-down Perturbations and Downhill Slopes in Bipedal Running
Drama, Ö., Badri-Spröwitz, A.
Frontiers in Bioengineering and Biotechnology, 8, pages: 586534, Frontiers Media, December 2020 (article)
Bipedal running is a difficult task to realize in robots, since the trunk is underactuated and control is limited by intermittent ground contacts. Stabilizing the trunk becomes even more challenging if the terrain is uneven and causes perturbations. One bio-inspired method to achieve postural stability is the virtual point (VP) control, which is able to generate natural motion. However, so far it has only been studied for level running. In this work, we investigate whether the VP control method can accommodate single step-down perturbations and downhill terrains. We provide guidelines on the model and controller parameterizations for handling varying terrain conditions. Next, we show that the VP method is able to stabilize single step-down perturbations up to 40 cm, and downhill grades up to 20-10° corresponding to running speeds of 2-5 m/s. Our results show that the VP approach leads to asymmetrically bounded ground reaction forces for downhill running, unlike the commonly-used symmetric friction cone constraints. Overall, VP control is a promising candidate for terrain-adaptive running control of bipedal robots.
Postural stability in human running with step-down perturbations: an experimental and numerical study
Drama, Ö., Vielemeyer, J., Badri-Spröwitz, A., Müller, R.
Royal Society Open Science, 7(11):200570, November 2020 (article)
Postural stability is one of the most crucial elements in bipedal
locomotion. Bipeds are dynamically unstable and need to maintain their
trunk upright against the rotations induced by the ground reaction forces
(GRFs), especially when running. Gait studies report that the GRF vectors
focus around a virtual point above the center of mass (VPA), while the trunk
moves forward in pitch axis during the stance phase of human running.
However, a recent simulation study suggests that a virtual point below the
center of mass (VPB) might be present in human running, since a VPA
yields backward trunk rotation during the stance phase. In this work, we
perform a gait analysis to investigate the existence and location of the
VP in human running at 5 m s−1, and support our findings numerically
using the spring-loaded inverted pendulum model with a trunk (TSLIP).
We extend our analysis to include perturbations in terrain height (visible
and camouflaged), and investigate the response of the VP mechanism
to step-down perturbations both experimentally and numerically. Our
experimental results show that the human running gait displays a VPB
of ≈ −30 cm and a forward trunk motion during the stance phase. The
camouflaged step-down perturbations affect the location of the VPB. Our
simulation results suggest that the VPB is able to encounter the step-down
perturbations and bring the system back to its initial equilibrium state.
3D Anatomy of the Quail Lumbosacral Spinal Canal—Implications for Putative Mechanosensory Function
Kamska, V., Daley, M., Badri-Spröwitz, A.
Integrative Organismal Biology, 2(1):obaa037, Oxford University Press, October 2020 (article)
Birds are diverse and agile vertebrates capable of aerial, terrestrial, aquatic, and arboreal locomotion. Evidence suggests that birds possess a novel balance sensing organ in the lumbosacral spinal canal, a structure referred to as the “lumbosacral organ” (LSO), which may contribute to their locomotor agility and evolutionary success. The mechanosensing mechanism of this organ remains unclear. Here we quantify the 3D anatomy of the lumbosacral region of the common quail, focusing on establishing the geometric and biomechanical properties relevant to potential mechanosensing functions. We combine digital and classic dissection to create a 3D anatomical model of the quail LSO and estimate the capacity for displacement and deformation of the soft tissues. We observe a hammock-like network of denticulate ligaments supporting the lumbosacral spinal cord, with a close association between the accessory lobes and ligamentous intersections. The relatively dense glycogen body has the potential to apply loads sufficient to pre-stress denticulate ligaments, enabling external accelerations to excite tuned oscillations in the LSO soft tissue, leading to strain-based mechanosensing in the accessory lobe neurons. Considering these anatomical features together, the structure of the LSO is reminiscent of a mass-spring-based accelerometer.
Simulating the response of a neuro-musculoskeletal model to assistive forces: implications for the design of wearables compensating for motor control deficits
Stollenmaier, K., Rist, I., Izzi, F., Haeufle, D. F.
In 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob 2020), pages: 779-784, IEEE, Piscataway, NJ, 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob 2020), October 2020 (inproceedings)
Models of the human arm may help to estimate design parameters like peak torque and power of wearable assistive devices by predicting required forces to compensate for motor control impairments. This work focuses on the idea of compensating hypermetria (overshoot)-a motor control deficit that may occur in neurodegenerative diseases-by a simple assistive device. As musculoskeletal dynamics play an important role in the interaction between an assistive device and the neuro-musculoskeletal system, we hypothesized that their consideration in the model might influence the predicted design parameters. To test this, we simulated two-degree-of-freedom point-to-point arm movements. By introducing inconsistent neuronal control parameters, we induced hypermetria. We implemented mechanical and low-level assistive torque strategies in simulation which lead to a reduction of hypermetria. We found that-depending on the type of assistance-the predicted torques and powers can differ by more than a factor of 10 between musculoskeletal and torque-driven arm models. We conclude that the magnitude of torque and power required to reduce hypermetria by simple wearable assistive devices may be significantly underestimated if muscle-tendon characteristics are not considered.
A Learnable Safety Measure
Heim, S., Rohr, A. V., Trimpe, S., Badri-Spröwitz, A.
Proceedings of the Conference on Robot Learning, 100, pages: 627-639, Proceedings of Machine Learning Research, (Editors: Kaelbling, Leslie Pack and Kragic, Danica and Sugiura, Komei), PMLR, Conference on Robot Learning, October 2020 (article)
A little damping goes a long way: a simulation study of how damping influences task-level stability in running
Heim, S., Millard, M., Le Mouel, C., Badri-Spröwitz, A.
Biology Letters, 16(9):20200467, September 2020 (article)
It is currently unclear if damping plays a functional role in legged locomotion, and simple models often do not include damping terms. We present a new model with a damping term that is isolated from other parameters: that is, the damping term can be adjusted without retuning other model parameters for nominal motion. We systematically compare how increased damping affects stability in the face of unexpected ground-height perturbations. Unlike most studies, we focus on task-level stability: instead of observing whether trajectories converge towards a nominal limit-cycle, we quantify the ability to avoid falls using a recently developed mathematical measure. This measure allows trajectories to be compared quantitatively instead of only being separated into a binary classification of ‘stable' or ‘unstable'. Our simulation study shows that increased damping contributes significantly to task-level stability; however, this benefit quickly plateaus after only a small amount of damping. These results suggest that the low intrinsic damping values observed experimentally may have stability benefits and are not simply minimized for energetic reasons. All Python code and data needed to generate our results are available open source.
Effective Viscous Damping Enables Morphological Computation in Legged Locomotion
Mo, A., Izzi, F., Haeufle, D. F. B., Badri-Spröwitz, A.
Frontiers in Robotics and AI, 7, pages: 110, August 2020 (article)
Muscle models and animal observations suggest that physical damping is beneficial for stabilization. Still, only a few implementations of mechanical damping exist in compliant robotic legged locomotion. It remains unclear how physical damping can be exploited for locomotion tasks, while its advantages as sensor-free, adaptive force- and negative work-producing actuators are promising. In a simplified numerical leg model, we studied the energy dissipation from viscous and Coulomb damping during vertical drops with ground-level perturbations. A parallel spring-damper is engaged between touch-down and mid-stance, and its damper auto-disengages during mid-stance and takeoff. Our simulations indicate that an adjustable and viscous damper is desired. In hardware we explored effective viscous damping and adjustability and quantified the dissipated energy. We tested two mechanical, leg-mounted damping mechanisms; a commercial hydraulic damper, and a custom-made pneumatic damper. The pneumatic damper exploits a rolling diaphragm with an adjustable orifice, minimizing Coulomb damping effects while permitting adjustable resistance. Experimental results show that the leg-mounted, hydraulic damper exhibits the most effective viscous damping. Adjusting the orifice setting did not result in substantial changes of dissipated energy per drop, unlike adjusting damping parameters in the numerical model. Consequently, we also emphasize the importance of characterizing physical dampers during real legged impacts to evaluate their effectiveness for compliant legged locomotion.
FootTile: a Rugged Foot Sensor for Force and Center of Pressure Sensing in Soft Terrain
Ruppert, F., Badri-Spröwitz, A.
In 2020 IEEE International Conference on Robotics and Automation (ICRA 2020), pages: 4810-4816, IEEE, Piscataway, NJ, IEEE International Conference on Robotics and Automation (ICRA 2020) , 2020 (inproceedings)
In this paper, we present FootTile, a foot sensor for reaction force and center of pressure sensing in challenging terrain. We compare our sensor design to standard biomechanical devices, force plates and pressure plates. We show that FootTile can accurately estimate force and pressure distribution during legged locomotion. FootTile weighs 0.9g, has a sampling rate of 330 Hz, a footprint of 10×10 mm and can easily be adapted in sensor range to the required load case. In three experiments, we validate: first, the performance of the individual sensor, second an array of FootTiles for center of pressure sensing and third the ground reaction force estimation during locomotion in granular substrate. We then go on to show the accurate sensing capabilities of the waterproof sensor in liquid mud, as a showcase for real world rough terrain use.
An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research
Grimminger, F., Meduri, A., Khadiv, M., Viereck, J., Wüthrich, M., Naveau, M., Berenz, V., Heim, S., Widmaier, F., Flayols, T., Fiene, J., Badri-Spröwitz, A., Righetti, L.
IEEE Robotics and Automation Letters, 5(2):3650-3657, IEEE, April 2020 (article)
Trunk pitch oscillations for energy trade-offs in bipedal running birds and robots
Drama, Ö., Badri-Spröwitz, A.
Bioinspiration & Biomimetics, 15(3):036013, March 2020 (article)
Bipedal animals have diverse morphologies and advanced locomotion abilities. Terrestrial birds, in particular, display agile, efficient, and robust running motion, in which they exploit the interplay between the body segment masses and moment of inertias. On the other hand, most legged robots are not able to generate such versatile and energy-efficient motion and often disregard trunk movements as a means to enhance their locomotion capabilities. Recent research investigated how trunk motions affect the gait characteristics of humans, but there is a lack of analysis across different bipedal morphologies. To address this issue, we analyze avian running based on a spring-loaded inverted pendulum model with a pronograde (horizontal) trunk. We use a virtual point based control scheme and modify the alignment of the ground reaction forces to assess how our control strategy influences the trunk pitch oscillations and energetics of the locomotion. We derive three potential key strategies to leverage trunk pitch motions that minimize either the energy fluctuations of the center of mass or the work performed by the hip and leg. We suggest how these strategies could be used in legged robotics.
2019
Trunk Pitch Oscillations for Joint Load Redistribution in Humans and Humanoid Robots
Drama, Ö., Badri-Spröwitz, A.
Proceedings of 2019 IEEE-RAS 19th International Conference on Humanoid Robots, pages: 531-536, IEEE, Humanoids, October 2019 (conference)
Creating natural-looking running gaits for humanoid robots is a complex task due to the underactuated degree of freedom in the trunk, which makes the motion planning and control difficult. The research on trunk movements in human locomotion is insufficient, and no formalism is known to transfer human motion patterns onto robots. Related work mostly focuses on the lower extremities, and simplifies the problem by stabilizing the trunk at a fixed angle. In contrast, humans display significant trunk motions that follow the natural dynamics of the gait. In this work, we use a spring-loaded inverted pendulum model with a trunk (TSLIP) together with a virtual point (VP) target to create trunk oscillations and investigate the impact of these movements. We analyze how the VP location and forward speed determine the direction and magnitude of the trunk oscillations. We show that positioning the VP below the center of mass (CoM) can explain the forward trunk pitching observed in human running. The VP below the CoM leads to a synergistic work between the hip and leg, reducing the leg loading. However, it comes at the cost of increased peak hip torque. Our results provide insights for leveraging the trunk motion to redistribute joint loads and potentially improve the energy efficiency in humanoid robots.
Series Elastic Behavior of Biarticular Muscle-Tendon Structure in a Robotic Leg
Ruppert, F., Badri-Spröwitz, A.
Frontiers in Neurorobotics, 64, pages: 13, 13, August 2019 (article)
The positive side of damping
Heim, S., Millard, M., Le Mouel, C., Sproewitz, A.
Proceedings of AMAM, The 9th International Symposium on Adaptive Motion of Animals and Machines, August 2019 (conference)
Beyond Basins of Attraction: Quantifying Robustness of Natural Dynamics
Steve Heim, , Spröwitz, A.
IEEE Transactions on Robotics (T-RO) , 35(4), pages: 939-952, August 2019 (article)
Properly designing a system to exhibit favorable natural dynamics can greatly simplify designing or learning the control policy. However, it is still unclear what constitutes favorable natural dynamics and how to quantify its effect. Most studies of simple walking and running models have focused on the basins of attraction of passive limit cycles and the notion of self-stability. We instead emphasize the importance of stepping beyond basins of attraction. In this paper, we show an approach based on viability theory to quantify robust sets in state-action space. These sets are valid for the family of all robust control policies, which allows us to quantify the robustness inherent to the natural dynamics before designing the control policy or specifying a control objective. We illustrate our formulation using spring-mass models, simple low-dimensional models of running systems. We then show an example application by optimizing robustness of a simulated planar monoped, using a gradient-free optimization scheme. Both case studies result in a nonlinear effective stiffness providing more robustness.
Quantifying the Robustness of Natural Dynamics: a Viability Approach
Heim, S., Sproewitz, A.
Proceedings of Dynamic Walking , Dynamic Walking , 2019 (conference)
Electronics, Software and Analysis of a Bioinspired Sensorized Quadrupedal Robot
Technische Universität München, 2019 (mastersthesis)
Entwicklung und Analyse neuartiger fluidischer Aktoren mit Rollmembran
Technische Universität München, 2019 (mastersthesis)
Oncilla robot: a versatile open-source quadruped research robot with compliant pantograph legs
Sproewitz, A., Tuleu, A., Ajallooeian, M., Vespignani, M., Moeckel, R., Eckert, P., D’Haene, M., Degrave, J., Nordmann, A., Schrauwen, B., Steil, J., Ijspeert, A. J.
Frontiers in Robotics and AI, 5(67), June 2018, arXiv: 1803.06259 (article)
We present Oncilla robot, a novel mobile, quadruped legged locomotion machine. This large-cat sized, 5.1 robot is one of a kind of a recent, bioinspired legged robot class designed with the capability of model-free locomotion control. Animal legged locomotion in rough terrain is clearly shaped by sensor feedback systems. Results with Oncilla robot show that agile and versatile locomotion is possible without sensory signals to some extend, and tracking becomes robust when feedback control is added (Ajaoolleian 2015). By incorporating mechanical and control blueprints inspired from animals, and by observing the resulting robot locomotion characteristics, we aim to understand the contribution of individual components. Legged robots have a wide mechanical and control design parameter space, and a unique potential as research tools to investigate principles of biomechanics and legged locomotion control. But the hardware and controller design can be a steep initial hurdle for academic research. To facilitate the easy start and development of legged robots, Oncilla-robot's blueprints are available through open-source. [...]
Learning from Outside the Viability Kernel: Why we Should Build Robots that can Fail with Grace
Heim, S., Sproewitz, A.
Proceedings of SIMPAR 2018, pages: 55-61, IEEE, 2018 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), May 2018 (conference)
Shaping in Practice: Training Wheels to Learn Fast Hopping Directly in Hardware
Heim, S., Ruppert, F., Sarvestani, A., Sproewitz, A.
In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) 2018, pages: 5076-5081, IEEE, International Conference on Robotics and Automation, May 2018 (inproceedings)
Learning instead of designing robot controllers can greatly reduce engineering effort required, while also emphasizing robustness. Despite considerable progress in simulation, applying learning directly in hardware is still challenging, in part due to the necessity to explore potentially unstable parameters. We explore the of concept shaping the reward landscape with training wheels; temporary modifications of the physical hardware that facilitate learning. We demonstrate the concept with a robot leg mounted on a boom learning to hop fast. This proof of concept embodies typical challenges such as instability and contact, while being simple enough to empirically map out and visualize the reward landscape. Based on our results we propose three criteria for designing effective training wheels for learning in robotics.
Untersuchung und Charakterisierung von Teilelementen der Modifikation im Lumbosacralbereich von Vögeln
Hochschule Harz, 2018 (thesis)
2017
Scalable Pneumatic and Tendon Driven Robotic Joint Inspired by Jumping Spiders
Sproewitz, A., Göttler, C., Sinha, A., Caer, C., Öztekin, M. U., Petersen, K., Sitti, M.
In Proceedings 2017 IEEE International Conference on Robotics and Automation (ICRA), pages: 64-70, IEEE, Piscataway, NJ, USA, IEEE International Conference on Robotics and Automation (ICRA), May 2017 (inproceedings)
Spinal joint compliance and actuation in a simulated bounding quadruped robot
Pouya, S., Khodabakhsh, M., Sproewitz, A., Ijspeert, A.
Autonomous Robots, pages: 437–452, Kluwer Academic Publishers, Springer, Dordrecht, New York, NY, February 2017 (article)
Linking Mechanics and Learning
Heim, S., Grimminger, F., Drama, Ö., Spröwitz, A.
In Proceedings of Dynamic Walking 2017, 2017 (inproceedings)
Is Growing Good for Learning?
Heim, S., Spröwitz, A.
Proceedings of the 8th International Symposium on Adaptive Motion of Animals and Machines AMAM2017, 2017 (conference)
Evaluation of the passive dynamics of compliant legs with inertia
Györfi, B.
University of Applied Science Pforzheim, Germany, 2017 (mastersthesis)