8 citations · 8 across the 7 of their papers we have counts for
5 papers · 1 filter
SLoSa: Small, Low-Power, and Safe Foundation Models for Robotic Task Planning
Weizhe Xu, Jialiang Fan, Essien Taylor +3
Safe robotic task planning requires planners that can reliably achieve task goals while satisfying safety constraints. Classical planners search over explicit symbolic task represe…
XoNav: An Exoskeleton as a Personalized Haptic Interface for Assisted Navigation
Debadrata Sarkar, Soumen Sen, Aman Arora
Walking without vision requires timely, unambiguous guidance, yet many wearable aids encode directions as audio or vibrotactile signals that users must translate into movement. We…
SafeInferCom: Safe Inference-Time Compute via Verifier-Guided Mid-Generation Intervention for Robotic Task Planning
Weizhe Xu, Jialiang Fan, Mengyu Liu +1
Large Reasoning Language Models (LRLMs) enable multi-step reasoning for robotic task planning, but continued reasoning can overwrite valid intermediate plans or leave constraint vi…
SafeVLA-Bench: A Benchmark for the Success-Safety Gap in Vision-Language-Action Models
Jialiang Fan, Weizhe Xu, Oleg Sokolsky +3
Vision-language-action (VLA) benchmarks measure whether a policy completes a requested manipulation task, but binary success can hide safety violations along the trajectory: a poli…
SafePilot: A Framework for Assuring LLM-enabled Cyber-Physical Systems
Weizhe Xu, Mengyu Liu, Fanxin Kong
Large Language Models (LLMs), deep learning architectures with typically over 10 billion parameters, have recently begun to be integrated into various cyber-physical systems (CPS)…