HIGHLIGHTS
- who: Song Wang and collaborators from the School of Computer Science, Harbin Institute of Technology, Harbin, China have published the article: Learning 3D Bipedal Walking with Planned Footsteps and Fourier Series Periodic Gait Planning, in the Journal: Sensors 2023, 1873 of /2023/
- what: The authors propose a method for designing reinforcement motion policies for full-size robots so that humanoids can achieve omnidirectional and stair walking. This study provides a more flexible learning method to help robots complete tasks in complex environments.
- how: This paper proposes a deep reinforcement learning-based footstep tracking . . .
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