no code implementations • 13 May 2024 • Xinglin Chen, Yishuai Cai, Yunxin Mao, Minglong Li, Wenjing Yang, Weixia Xu, Ji Wang
This paper proposes a two-stage framework for BT generation, which first employs large language models (LLMs) to interpret goals from high-level instructions, then constructs an efficient goal-specific BT through the Optimal Behavior Tree Expansion Algorithm (OBTEA).
no code implementations • 28 Mar 2024 • Yishuai Cai, Shaowu Yang, Minglong Li, Xinglin Chen, Yunxin Mao, Xiaodong Yi, Wenjing Yang
Optimizing the morphologies and the controllers that adapt to various tasks is a critical issue in the field of robot design, aka.