ExTraCT - explainable trajectory corrections for language-based human-robot interaction using textual feature descriptions

ExTraCT - explainable trajectory corrections for language-based human-robot interaction using textual feature descriptions

Introduction: In human-robot interaction (HRI), understanding human intent is crucial for robots to perform tasks that align with user preferences. Traditional methods that aim to modify robot trajectories based on language corrections often require extensive training to generalize across diverse ob...

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Bibliographic Details
Main Authors: Yow, J-Anne, Garg, Neha Priyadarshini, Ramanathan, Manoj, Ang, Wei Tech
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2025
Subjects:
Engineering
Human-robot interaction
Language in robotics
Online Access:https://hdl.handle.net/10356/182191

Internet

https://hdl.handle.net/10356/182191

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