5 papers
Representation Handoffs for OpenArm-Based Laboratory Mobile Manipulation
Yang Shen, Chonghao Cheng, Ziyi Zhao +6
Open-source robotics and foundation models have lowered the barrier to embodied AI, yet language-guided laboratory automation still requires reliable alignment from instructions an…
An Empirical Study of Multi-Agent Collaboration for Automated Research
Yang Shen, Zhenyi Yi, Ziyi Zhao +4
As AI agents evolve, the community is rapidly shifting from single Large Language Models (LLMs) to Multi-Agent Systems (MAS) to overcome cognitive bottlenecks in automated research…
Survival Games: Human-LLM Strategic Showdowns under Severe Resource Scarcity
Zhihong Chen, Yiqian Yang, Jinzhao Zhou +3
The rapid advancement of large language models (LLMs) raises critical concerns about their ethical alignment, particularly in scenarios where human and AI co-exist under the confli…
NeuGPT: Unified multi-modal Neural GPT
Yiqian Yang, Yiqun Duan, Hyejeong Jo +6
This paper introduces NeuGPT, a groundbreaking multi-modal language generation model designed to harmonize the fragmented landscape of neural recording research. Traditionally, stu…
E2H: A Two-Stage Non-Invasive Neural Signal Driven Humanoid Robotic Whole-Body Control Framework
Yiqun Duan, Qiang Zhang, Jinzhao Zhou +9
Recent advancements in humanoid robotics, including the integration of hierarchical reinforcement learning-based control and the utilization of LLM planning, have significantly enh…