GBC Framework: Universal Humanoid Imitation Learning
A groundbreaking framework enabling cross-morphology learning for humanoid robots with zero-shot motion retargeting capabilities.
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portfolio
AnyBipe: Automated Robot Learning Pipeline
An end-to-end automated framework leveraging LLMs for bipedal robot training, eliminating manual reward engineering and accelerating research workflows.
publications
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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GBC: Generalized Behavior Cloning for Humanoid Robots
Published in arXiv preprint, 2025
A unified imitation learning framework that enables cross-morphology learning for humanoid robots through novel algorithmic innovations and zero-shot motion retargeting.
Recommended citation: Yao, Y., Luo, C., Du, J., & Lu, J. (2024). "GBC: Generalized Behavior Cloning for Humanoid Robots." arXiv preprint arXiv:2508.09960.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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