collaborators

6 papers

cs.RO2026

Labimus: A Simulation and Benchmark for Humanoid Dexterous Manipulation in Chemical Laboratory

Yuhan Wu, Zhao Jin, Tao Li +9

Laboratory automation has made remarkable progress through robotic platforms and AI-driven scientific reasoning. However, many laboratory operations (e.g., solid--solid transfer) r…

cs.AI2026

CLMASP: Coupling Large Language Models with Answer Set Programming for Robotic Task Planning

Xinrui Lin, Yangfan Wu, Huanyu Yang +3

Large Language Models (LLMs) possess extensive foundational knowledge and moderate reasoning abilities, making them suitable for general task planning in open-world scenarios. Howe…

cs.RO2026

DynaHMRC: Decentralized Heterogeneous Multi-Robot Collaboration for Dynamic Tasks with Large Language Models

Wenhao Yu, Yu'ang Xie, Yifan Duan +5

Large language models (LLMs) provide robots with richer task understanding and adaptability, making them promising for coordinating heterogeneous multi-robot systems in long-horizo…

cs.RO2026

OpenGo: An OpenClaw-Based Robotic Dog with Real-Time Skill Switching

Hanbing Li, Xuewei Cao, Zhiwen Zeng +3

Adaptation to complex tasks and multiple scenarios remains a significant challenge for a single robot agent. The ability to acquire organize, and switch between a wide range of ski…

cs.LG2026

On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language Models

Shumin Wang, Yuexiang Xie, Wenhao Zhang +4

Entropy serves as a critical metric for measuring the diversity of outputs generated by large language models (LLMs), providing valuable insights into their exploration capabilitie…

cs.CV2025

Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving

Shumin Wang, Zhuoran Yang, Lidian Wang +7

The significant achievements of pre-trained models leveraging large volumes of data in the field of NLP and 2D vision inspire us to explore the potential of extensive data pre-trai…