3 papers
cs.RO2025
MindEye-OmniAssist: A Gaze-Driven LLM-Enhanced Assistive Robot System for Implicit Intention Recognition and Task Execution
Zejia Zhang, Bo Yang, Xinxing Chen +4
A promising effective human-robot interaction in assistive robotic systems is gaze-based control. However, current gaze-based assistive systems mainly help users with basic graspin…
cs.RO2025
Robot Deformable Object Manipulation via NMPC-generated Demonstrations in Deep Reinforcement Learning
Haoyuan Wang, Zihao Dong, Hongliang Lei +5
In this work, we conducted research on deformable object manipulation by robots based on demonstration-enhanced reinforcement learning (RL). To improve the learning efficiency of R…
cs.CL2024
Can LLMs make trade-offs involving stipulated pain and pleasure states?
Geoff Keeling, Winnie Street, Martyna Stachaczyk +7
Pleasure and pain play an important role in human decision making by providing a common currency for resolving motivational conflicts. While Large Language Models (LLMs) can genera…