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DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning (Presentation)

Presentation @ ICRA 2020:

We train neural-network policies for terrain-aware locomotion,
which respectively plan and execute foothold and base motions
over challenging terrains in simulated 3D environments using
both proprioceptive and exteroceptive measurements.

Journal article accepted to IEEE Robotics and Automation Letters (RA-L) and IEEE International Conference on Robotics and Automation (ICRA) 2020 in Paris, France:
Paper: https://ieeexplore.ieee.org/abstract/document/9028188
Preprint: https://arxiv.org/abs/1909.08399

Video by Vassilios Tsounis

Music is "Always Then" courtesy of The KVB
https://www.thekvb.co.uk/

Видео DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning (Presentation) канала Robotic Systems Lab: Legged Robotics at ETH Zürich
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31 мая 2020 г. 5:33:20
00:08:18
Яндекс.Метрика