Proceedings Vol. 31 (2025)

ENGINEERING MECHANICS 2025
May 12 – 14, 2025, Medlov, Czech Republic
Copyright © 2025 Institute of Theoretical and Applied Mechanics of the Czech Academy of Sciences, Prague
ISBN 978-80-86246-99-4 (electronic)
ISSN 1805-8248 (printed)
ISSN 1805-8256 (electronic)
list of papers scientific commitee
pages 209 - 212, full text

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.
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Ownership of copyright in original research articles remains with the Authors, and provided that, when reproducing parts of the contribution, the Authors acknowledge and/or reference the Proceedings, the Authors do not need to seek permission for re-use of their material.
All papers were reviewed by members of the scientific committee.