8 papers
First Responders' Perceptions of Semantic Information for Situational Awareness in Robot-Assisted Emergency Response
Tianshu Ruan, Zoe Betta, Georgios Tzoumas +2
This study investigates First Responders' (FRs) attitudes toward the use of semantic information and Situational Awareness (SA) in robotic systems during emergency operations. A st…
Intent-Driven LLM Ensemble Planning for Flexible Multi-Robot Disassembly: Demonstration on EV Batteries
Cansu Erdogan, Cesar Alan Contreras, Alireza Rastegarpanah +2
This paper addresses the problem of planning complex manipulation tasks, in which multiple robots with different end-effectors and capabilities, informed by computer vision, must p…
An Exploratory Study on Human-Robot Interaction using Semantics-based Situational Awareness
Tianshu Ruan, Aniketh Ramesh, Rustam Stolkin +1
In this paper, we investigate the impact of high-level semantics (evaluation of the environment) on Human-Robot Teams (HRT) and Human-Robot Interaction (HRI) in the context of mobi…
An Exploratory Study on Crack Detection in Concrete through Human-Robot Collaboration
Junyeon Kim, Tianshu Ruan, Cesar Alan Contreras +1
Structural inspection in nuclear facilities is vital for maintaining operational safety and integrity. Traditional methods of manual inspection pose significant challenges, includi…
Utilizing Vision-Language Models as Action Models for Intent Recognition and Assistance
Cesar Alan Contreras, Manolis Chiou, Alireza Rastegarpanah +2
Human-robot collaboration requires robots to quickly infer user intent, provide transparent reasoning, and assist users in achieving their goals. Our recent work introduced GUIDER,…
Probabilistic Human Intent Prediction for Mobile Manipulation: An Evaluation with Human-Inspired Constraints
Cesar Alan Contreras, Manolis Chiou, Alireza Rastegarpanah +2
Accurate inference of human intent enables human-robot collaboration without constraining human control or causing conflicts between humans and robots. We present GUIDER (Global Us…