AnyBipe: An End-to-End Framework for Training and Deploying Bipedal Robots Guided by Large Language Models
Published in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025), 2024
An automated end-to-end pipeline for bipedal robot training that leverages Large Language Models for reward design, training supervision, and sim-to-real validation.
Recommended citation: Yao, Y., He, W., Gu, C., Du, J., Tan, F., Zhu, Z., & Lu, J. (2025). "AnyBipe: An End-to-End Framework for Training and Deploying Bipedal Robots Guided by Large Language Models." Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Oral Presentation.
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