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We tackle the problem of perceptive locomotion in dynamic environments.
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Erwin Coumans and Yunfei Bai · 2017
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“Proximal policy optimization algorithms”
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C Bellicoso et al · 2018
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Jared Di et al · 2018
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“Sim-to-real: Learning agile locomotion for quadruped robots”
Jie Tan et al · 2018
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“Gait and trajectory optimization for legged systems through phase-based end-effector parameterization”
Alexander Winkler, C Bellicoso, Marco Hutter and Jonas Buchli · 2018
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“Implementing regularized predictive control for simultaneous real-time footstep and ground reaction force optimization”
Gerardo Bledt and Sangbae Kim · 2019
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“Hierarchical reinforcement learning for quadruped locomotion”
Deepali Jain, Atil Iscen and Ken Caluwaerts · 2019
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“Highly dynamic quadruped locomotion via whole-body impulse control and model predictive control”
Donghyun Kim et al · 2019
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“Minimizing energy consumption leads to the emergence of gaits in legged robots”
Zipeng Fu, Ashish Kumar, Jitendra Malik and Deepak Pathak · 2021
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“Learning a state representation and navigation in cluttered and dynamic environments”
David Hoeller, Lorenz Wellhausen, Farbod Farshidian and Marco Hutter · 2021
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“Rma: Rapid motor adaptation for legged robots”
Ashish Kumar, Zipeng Fu, Deepak Pathak and Jitendra Malik · 2021
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Google Research · 2021
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“Relmogen: Leveraging motion generation in reinforcement learning for mobile manipulation”
Fei Xia et al · 2021
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“GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model”
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“Fast and continuous foothold adaptation for dynamic locomotion through cnns”
Octavio Magana et al · 2019
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“MPC-Net: A First Principles Guided Policy Search”
Jan Carius, Farbod Farshidian and Marco Hutter · 2020
Cited alongside, same era.
“Perceptive locomotion in rough terrain–online foothold optimization”
Fabian Jenelten et al · 2020
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“Vision aided dynamic exploration of unstructured terrain with a small-scale quadruped robot”
D Kim et al · 2020
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“Learning quadrupedal locomotion over challenging terrain”
Joonho Lee et al · 2020
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“Zero-shot imitation learning from demonstrations for legged robot visual navigation”
Xinlei Pan et al · 2020
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“Deepgait: Planning and control of quadrupedal gaits using deep reinforcement learning”
Vassilios Tsounis et al · 2020
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Zhaoming Xie et al · 2021
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“Rloc: Terrain-aware legged locomotion using reinforcement learning and optimal control”
Siddhant Gangapurwala et al · 2022
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“Vision-Guided Quadrupedal Locomotion in the Wild with Multi-Modal Delay Randomization”
Chieko Imai et al · 2022
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“What Matters in Learning from Offline Human Demonstrations for Robot Manipulation”
Ajay Mandlekar et al · 2022
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“Augmenting reinforcement learning with behavior primitives for diverse manipulation tasks”
Soroush Nasiriany, Huihan Liu and Yuke Zhu · 2022
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“Learning to walk in minutes using massively parallel deep reinforcement learning”
Nikita Rudin, David Hoeller, Philipp Reist and Marco Hutter · 2022
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“Learning to Navigate Sidewalks in Outdoor Environments”
Maks Sorokin, Jie Tan, C Liu and Sehoon Ha · 2022
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“Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers”
Ruihan Yang et al · 2022
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“Fast and efficient locomotion via learned gait transitions”
Yuxiang Yang et al · 2022
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