3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.RO2024
BeSimulator: A Large Language Model Powered Text-based Behavior Simulator
Jianan Wang, Bin Li, Jingtao Qi +3
Traditional robot simulators focus on physical process modeling and realistic rendering, often suffering from high computational costs, inefficiencies, and limited adaptability. To…
cs.RO2024★ 2 cited
Task2Morph: Differentiable Task-inspired Framework for Contact-Aware Robot Design
Yishuai Cai, Shaowu Yang, Minglong Li +4
Optimizing the morphologies and the controllers that adapt to various tasks is a critical issue in the field of robot design, aka. embodied intelligence. Previous works typically m…
cs.CL2024★ 3 cited
A Study on Training and Developing Large Language Models for Behavior Tree Generation
Fu Li, Xueying Wang, Bin Li +3
This paper presents an innovative exploration of the application potential of large language models (LLM) in addressing the challenging task of automatically generating behavior tr…