The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Flexible muscle-based locomotion for bipedal creatures
Abstract
We present a muscle-based control method for simulated bipeds in which both the muscle routing and control parameters are optimized. This yields a generic locomotion control method that supports a variety of bipedal creatures. All actuation forces are the result of 3D simulated muscles, and a model of neural delay is included for all feedback paths. As a result, our controllers generate torque patterns that incorporate biomechanical constraints. The synthesized controllers find different gaits based on target speed, can cope with uneven terrain and external perturbations, and can steer to target directions.
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Cites
Muscle and tendon: properties, models, scaling, and application to biomechanics and motor control.
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Hansen, N. (2007) · Studies in Fuzziness and Soft Computing · doi:10.1007/3-540-32494-1_4 · Cited by 1,797
From Swimming to Walking with a Salamander Robot Driven by a Spinal Cord Model
Ijspeert, A. J., Crespi, A., Ryczko, D., & Cabelguen, J.-M. (2007) · Science · doi:10.1126/science.1138353 · Cited by 1,214
Dynamic Optimization of Human Walking
Anderson, F. C., & Pandy, M. G. (2001) · Journal of Biomechanical Engineering · doi:10.1115/1.1392310 · Cited by 1,107
Sims, K. (1994) · Proceedings of the 21st annual conference on Computer graphics and interactive techniques - SIGGRAPH '94 · doi:10.1145/192161.192167 · Cited by 1,005
Compliant leg behaviour explains basic dynamics of walking and running
Geyer, H., Seyfarth, A., & Blickhan, R. (2006) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2006.3637 · Cited by 940
Generating dynamic simulations of movement using computed muscle control
Thelen, D. G., Anderson, F. C., & Delp, S. L. (2003) · Journal of Biomechanics · doi:10.1016/s0021-9290(02)00432-3 · Cited by 678
Geyer, H., & Herr, H. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2010.2047592 · Cited by 627
Hodgins, J. K., Wooten, W. L., Brogan, D. C., & O'Brien, J. F. (1995) · Proceedings of the 22nd annual conference on Computer graphics and interactive techniques - SIGGRAPH '95 · doi:10.1145/218380.218414 · Cited by 623
A model of the neuro-musculo-skeletal system for human locomotion: I. Emergence of basic gait
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Cited by
AMP: adversarial motion priors for stylized physics-based character control
Peng, X. B., Ma, Z., Abbeel, P., Levine, S., & Kanazawa, A. (2021) · ACM Transactions on Graphics · doi:10.1145/3450626.3459670 · Cited by 396
The neuromechanics of animal locomotion: From biology to robotics and back
Ramdya, P., & Ijspeert, A. J. (2023) · Science Robotics · doi:10.1126/scirobotics.adg0279 · Cited by 92
Learning to dress: Synthesizing human dressing motion via deep reinforcement learning
Clegg, A., Yu, W., Tan, J., Liu, C. K., & Turk, G. (2018) · ACM Transactions on Graphics · doi:10.1145/3272127.3275048 · Cited by 89
Ijspeert, A. J., & Daley, M. A. (2023) · Journal of Experimental Biology · doi:10.1242/jeb.245784 · Cited by 79
Metadata
- Authors
- Geijtenbeek, T., van de Panne, M., & van der Stappen, A. F.
- Venue
- ACM Transactions on Graphics
- Published
- 2013-11
- Volume
- 32
- Issue
- 6
- Pages
- 1-11
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2140190473
- Cited by
- 256
- References
- 48
- FWCI
- 25.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- Geijtenbeek, T., van de Panne, M., & van der Stappen, A. F. (2013). Flexible muscle-based locomotion for bipedal creatures. ACM Transactions on Graphics. https://doi.org/10.1145/2508363.2508399
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
