activity
20242026
most citedLLM-Enhanced Path Planning: Safe and Efficient Autonomous Navigation with Instructional Inputs

1 citations · 1 across the 10 of their papers we have counts for

collaborators

8 papers

cs.RO2026

Failing Gracefully: Mitigating Impact of Inevitable Robot Failures

Duc M. Nguyen, Saad A. Ghani, Andrew Marshall +3

Service robots operate in household environments shared with humans, pets, and everyday objects, where they are highly susceptible to failures such as software crashes, hardware de…

cs.RO2026

E-SocialNav: Efficient Socially Compliant Navigation with Language Models

Ling Xiao, Daeun Song, Xuesu Xiao +1

Language models (LMs) are increasingly applied to robotic navigation; however, existing benchmarks primarily emphasize navigation success rates while paying limited attention to so…

cs.RO2026

Zero-Shot Adaptation to Robot Structural Damage via Natural Language-Informed Kinodynamics Modeling

Anuj Pokhrel, Aniket Datar, Mohammad Nazeri +2

High-performance autonomous mobile robots endure significant mechanical stress during in-the-wild operations, e.g., driving at high speeds or over rugged terrain. Although these pl…

cs.HC2026

Designing Multi-Robot Ground Video Sensemaking with Public Safety Professionals

Puqi Zhou, Ali Asgarov, Aafiya Hussain +9

Videos from fleets of ground robots can advance public safety by providing scalable situational awareness and reducing professionals' burden. Yet little is known about how to desig…

cs.HC2026

Applying Ground Robot Fleets in Urban Search: Understanding Professionals' Operational Challenges and Design Opportunities

Puqi Zhou, Charles R. Twardy, Cynthia Lum +6

Urban searches demand rapid, defensible decisions and sustained physical effort under high cognitive and situational load. Incident commanders must plan, coordinate, and document t…

cs.RO2025

Learning from Hallucinating Critical Points for Navigation in Dynamic Environments

Saad Abdul Ghani, Kameron Lee, Xuesu Xiao

Generating large and diverse obstacle datasets to learn motion planning in environments with dynamic obstacles is challenging due to the vast space of possible obstacle trajectorie…