The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Compliant Hybrid Zero Dynamics Controller for Stable, Efficient and Fast Bipedal Walking on MABEL
Abstract
The planar bipedal testbed MABEL contains springs in its drivetrain for the purpose of enhancing both energy efficiency and agility of dynamic locomotion. While the potential energetic benefits of springs are well documented in the literature, feedback control designs that effectively realize this potential are lacking. In this paper, we extend and apply the methods of virtual constraints and hybrid zero dynamics, originally developed for rigid robots with a single degree of underactuation, to MABEL, a bipedal walker with a novel compliant transmission and multiple degrees of underactuation. A time-invariant feedback controller is designed such that the closed-loop system respects the natural compliance of the open-loop system and realizes exponentially stable walking gaits. Five experiments are presented that highlight different aspects of MABEL and the feedback design method, ranging from basic elements such as stable walking and robustness under perturbations, to energy efficiency and a walking speed of 1.5 m s−1 (3.4 mph). The experiments also compare two feedback implementations of the virtual constraints, one based on PD control of Westervelt et al., and a second that implements a full hybrid zero dynamics controller. On MABEL, the full hybrid zero dynamics controller yields a much more faithful realization of the desired virtual constraints and was instrumental in achieving more rapid walking.
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Cites
Adaptive, Fast Walking in a Biped Robot under Neuronal Control and Learning
Manoonpong, P., Geng, T., Kulvicius, T., Porr, B., & Wörgötter, F. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030134 · Cited by 119
Cited by
Control strategies for active lower extremity prosthetics and orthotics: a review
Tucker, M. R., Olivier, J., Pagel, A., Bleuler, H., Bouri, M., Lambercy, O., Millán, J. D. R., Riener, R., Vallery, H., & Gassert, R. (2015) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-12-1 · Cited by 1,047
“Virtual constraint control is a strategy that has been used to control locomotion in bipedal robots [168], which has since been implemented and demonstrated with a powered knee and ankle prosthesis [159,169,170].”
Design Principles for Energy-Efficient Legged Locomotion and Implementation on the MIT Cheetah Robot
Seok, S., Wang, A., Chuah, M. Y., Hyun, D. J., Lee, J., Otten, D. M., Lang, J. H., & Kim, S. (2015) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2014.2339013 · Cited by 517
Variable Stiffness Actuators: Review on Design and Components
Wolf, S., Grioli, G., Eiberger, O., Friedl, W., Grebenstein, M., Hoppner, H., Burdet, E., Caldwell, D. G., Carloni, R., Catalano, M. G., et al. (2016) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2015.2501019 · Cited by 459
Rapidly Exponentially Stabilizing Control Lyapunov Functions and Hybrid Zero Dynamics
Ames, A. D., Galloway, K., Sreenath, K., & Grizzle, J. W. (2014) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2014.2299335 · Cited by 440
Self-citationModels, feedback control, and open problems of 3D bipedal robotic walking
Grizzle, J. W., Chevallereau, C., Sinnet, R. W., & Ames, A. D. (2014) · Automatica · doi:10.1016/j.automatica.2014.04.021 · Cited by 321
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Metadata
- Authors
- Sreenath, K., Park, H.-W., Poulakakis, I., & Grizzle, J. W.
- Venue
- The International Journal of Robotics Research
- Publisher
- SAGE Publications
- Published
- 2010-09-17
- Volume
- 30
- Issue
- 9
- Pages
- 1170-1193
- ISSN
- 0278-3649 (ISSN-L)
- 1741-3176
- OpenAlex
- W1993314711
- Cited by
- 344
- References
- 1
- FWCI
- 8.56
- Type
- journal article
- Language
- en
- Open access
- closed
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