Stable Walking for Bipedal Robots Using PPO
This paper explores the application of Proximal Policy Optimization (PPO) for achieving stable bipedal locomotion in autonomous robots.Unlike traditional model-based approaches, PPO leverages reinforcement learning to develop adaptive gait patterns that respond to environmental changes in real time.
Authors
- Stanislav Věchet (ORCID: https://orcid.org/0000-0002-8961-154X)
- J. Krejsa
- Sri Phani Krishna K
Publication Details
- Journal
- Engineering Mechanics ...
- Published
- 2025-05-14
- DOI
- https://doi.org/10.21495/em2025-209
- Primary Topic
- Robotic Locomotion and Control
- Type
- article
- Field-Weighted Citation Impact
- 0.00