most citedDeployment of Large Language Models to Control Mobile Robots at the Edge

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

From Wizard-of-Oz Human-Robot Dialogue Collection to a Taxonomy of Robot Response Decisions: A Retrospective Analysis of Assistive Pilot Interactions

Guangping Liu, Nicholas Hawkins, Tipu Sultan +2

Robots that follow natural-language instructions in everyday indoor environments must act on incomplete human utterances. Instructions often omit essential information, such as the…

cs.RO2026

WheelArm-Sim: A Manipulation and Navigation Combined Multimodal Synthetic Data Generation Simulator for Unified Control in Assistive Robotics

Guangping Liu, Tipu Sultan, Vittorio Di Giorgio +3

Wheelchairs and robotic arms enhance independent living by assisting individuals with upper-body and mobility limitations in their activities of daily living (ADLs). Although recen…

cs.RO2026

A Multimodal Data Collection Framework for Dialogue-Driven Assistive Robotics to Clarify Ambiguities: A Wizard-of-Oz Pilot Study

Guangping Liu, Nicholas Hawkins, Billy Madden +3

Integrated control of wheelchairs and wheelchair-mounted robotic arms (WMRAs) has strong potential to increase independence for users with severe motor limitations, yet existing in…

cs.RO2024★ 1 cited

Deployment of Large Language Models to Control Mobile Robots at the Edge

Pascal Sikorski, Leendert Schrader, Kaleb Yu +6

This paper investigates the possibility of intuitive human-robot interaction through the application of Natural Language Processing (NLP) and Large Language Models (LLMs) in mobile…

cs.RO2024

Improving Robotic Arms through Natural Language Processing, Computer Vision, and Edge Computing

Pascal Sikorski, Kaleb Yu, Lucy Billadeau +3

This paper introduces a prototype for a new approach to assistive robotics, integrating edge computing with Natural Language Processing (NLP) and computer vision to enhance the int…