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Humans are highly adept at walking in environments with foot placement constraints, including stepping-stone scenarios where the footstep locations are fully constrained.
How far ahead do we look when required to step on specific locations in the travel path during locomotion?
Patla A. E., Vickers J. N · 2003
Earlier work this paper cites.
Synthesizing physically realistic human motion in low-dimensional, behavior-specific spaces
Safonova A., Hodgins J. K., Pollard N. S · 2004
Earlier work this paper cites.
Footstep planning for the honda asimo humanoid
Chestnutt J., Lau M., Cheung G., Kuffner J., Hodgins J., Kanade T · 2005
Earlier work this paper cites.
Synthesis of constrained walking skills
Coros S., Beaudoin P., Yin K. K., van de Panne M · 2008
Earlier work this paper cites.
Continuation methods for adapting simulated skills
Yin K., Coros S., Beaudoin P., van de Panne M · 2008
Earlier work this paper cites.
Curriculum learning
Bengio Y., Louradour J., Collobert R., Weston J · 2009
Earlier work this paper cites.
Quadratic features and deep architectures for chunking
Turian J., Bergstra J., Bengio Y · 2009
Earlier work this paper cites.
Robust physics-based locomotion using low-dimensional planning
Mordatch I., De Lasa M., Hertzmann A · 2010
Earlier work this paper cites.
Terrain-adaptive bipedal locomotion control
Wu J.-c., Popović Z · 2010
Earlier work this paper cites.
Curriculum learning for motor skills
Karpathy A., van de Panne M · 2012
Earlier work this paper cites.
Mujoco: A physics engine for model-based control
Todorov E., Erez T., Tassa Y · 2012
Earlier work this paper cites.
Assessment of adaptive walking performance
Lindemann U., Klenk J., Becker C., Moe-Nilssen R · 2013
Earlier work this paper cites.
Footstep planning on uneven terrain with mixed-integer convex optimization
Deits R., Tedrake R · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Kingma D. P., Ba J · 2014
Earlier work this paper cites.
Visual control of foot placement when walking over complex terrain
Matthis J. S., Fajen B. R · 2014
Earlier work this paper cites.
Response inhibition during avoidance of virtual obstacles while walking
Potocanac Z., Hoogkamer W., Carpes F. P., Pijnappels M., Verschueren S. M., Duysens J · 2014
Earlier work this paper cites.
Powered lower limb prostheses
Grimmer M · 2015
Cited alongside, same era.
Benchmarking deep reinforcement learning for continuous control
Duan Y., Chen X., Houthooft R., Schulman J., Abbeel P · 2016
Cited alongside, same era.
Guided learning of control graphs for physics-based characters
Liu L., Panne M. V. D., Yin K · 2016
Cited alongside, same era.
3d dynamic walking on stepping stones with control barrier functions
Nguyen Q., Hereid A., Grizzle J. W., Ames A. D., Sreenath K · 2016
Cited alongside, same era.
Terrain-adaptive locomotion skills using deep reinforcement learning
Peng X. B., Berseth G., Van de Panne M · 2016
Cited alongside, same era.
Reverse curriculum generation for reinforcement learning
Florensa C., Held D., Wulfmeier M., Zhang M., Abbeel P · 2017
Feedback control for cassie with deep reinforcement learning
Xie Z., Berseth G., Clary P., Hurst J., van de Panne M · 2018
Later among the works it cites.
Learning symmetric and low-energy locomotion
Yu W., Turk G., Liu C. K · 2018
Later among the works it cites.
Mode-adaptive neural networks for quadruped motion control
Zhang H., Starke S., Komura T., Saito J · 2018
Later among the works it cites.
On learning symmetric locomotion
Adbolhosseini F., Ling H. Y., Xie Z., Peng X. B., van de Panne M · 2019
Later among the works it cites.
Drecon: data-driven responsive control of physics-based characters
Bergamin K., Clavet S., Holden D., Forbes J. R · 2019
Later among the works it cites.
Pybullet, a python module for physics simulation for games, robotics and machine learning
Coumans E., Bai Y · 2019
Later among the works it cites.
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Intrinsically motivated goal exploration processes with automatic curriculum learning
Forestier S., Mollard Y., Oudeyer P.-Y · 2017
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Phase-functioned neural networks for character control
Holden D., Komura T., Saito J · 2017
Cited alongside, same era.
Emergence of locomotion behaviours in rich environments
Heess N., Sriram S., Lemmon J., Merel J., Wayne G., Tassa Y., Erez T., Wang Z., Eslami S., Riedmiller M., et al · 2017
Cited alongside, same era.
Learning to schedule control fragments for physics-based characters using deep q-learning
Liu L., Hodgins J · 2017
Cited alongside, same era.
Dynamic walking on randomly-varying discrete terrain with one-step preview
Nguyen Q., Agrawal A., Da X., Martin W. C., Geyer H., Grizzle J. W., Sreenath K · 2017
Cited alongside, same era.
Deeploco: Dynamic locomotion skills using hierarchical deep reinforcement learning
Peng X. B., Berseth G., Yin K., Van De Panne M · 2017
Cited alongside, same era.
Footstep planning for autonomous walking over rough terrain
Griffin R. J., Wiedebach G., McCrory S., Bertrand S., Lee I., Pratt J · 2019
Later among the works it cites.
Synthesis of biologically realistic human motion using joint torque actuation
Jiang Y., Van Wouwe T., De Groote F., Liu C. K · 2019
Later among the works it cites.
Scalable muscle-actuated human simulation and control
Lee S., Park M., Lee K., Lee J · 2019
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Teacher-student curriculum learning
Matiisen T., Oliver A., Cohen T., Schulman J · 2019
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Learning curriculum policies for reinforcement learning
Narvekar S., Stone P · 2019
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Pytorch: An imperative style, high-performance deep learning library
Paszke A., Gross S., Massa F., Lerer A., Bradbury J., Chanan G., Killeen T., Lin Z., Gimelshein N., Antiga L., et al · 2019
Later among the works it cites.
Learning predict-and-simulate policies from unorganized human motion data
Park S., Ryu H., Lee S., Lee S., Lee J · 2019
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Learning body shape variation in physics-based characters
Won J., Lee J · 2019
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Wang R., Lehman J., Clune J., Stanley K. O · 2019
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Learning locomotion skills for cassie: Iterative design and sim-to-real
Xie Z., Clary P., Dao J., Morais P., Hurst J., van de Panne M · 2019
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