PlanCollabNL: Leveraging Large Language Models for Adaptive Plan Generation in Human-Robot Collaboration
Author:
Affiliation:
1. Eurecat, Centre Tecnològic de Catalunya, Robotics and Automation Unit,Barcelona,Spain
2. King’s College,Department of Informatics,London,United Kingdom
3. CSIC-UPC,Institut de Robòtica i Informàtica Industrial,Barcelona,Spain
Funder
Royal Academy of Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610055.pdf?arnumber=10610055
Reference37 articles.
1. Improved Task Planning through Failure Anticipation in Human-Robot Collaboration
2. About Decisions During Human-Robot Shared Plan Achievement: Who Should Act and How?
3. Do As I Can, Not As I Say: Grounding Language in Robotic Affordances;Ahn
4. Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents;Huang,2022
5. HATP: Hierarchical Agent-based Task Planner;Lallement
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