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Intent-Driven LLM Ensemble Planning for Flexible Multi-Robot Disassembly: Demonstration on EV Batteries
Cansu Erdogan
, Cesar Alan Contreras
,
Alireza Rastegarpanah
, Manolis Chiou
, Rustam Stolkin
Applied AI & Robotics
College of Engineering and Physical Sciences
Aston University
Aston CyberHub > Research Center for Cyber Security, Privacy and Trust
Research output
:
Preprint or Working paper
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Preprint
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Dive into the research topics of 'Intent-Driven LLM Ensemble Planning for Flexible Multi-Robot Disassembly: Demonstration on EV Batteries'. Together they form a unique fingerprint.
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Keyphrases
Ensemble Model
100%
Multi-robot
100%
EV Battery
100%
Large Language Models
100%
Intent-based
100%
Action Sequence
40%
Concatenated
20%
Planners
20%
Computer Vision
20%
Sequence-based
20%
Specific Sequences
20%
Autonomous Systems
20%
Full Sequences
20%
Verifier
20%
Human Participants
20%
Five-component
20%
Human Interface
20%
Real Scene
20%
End-effector
20%
Arbitrary Configuration
20%
User Effort
20%
Battery Electric Vehicle
20%
Manipulation Tasks
20%
Easy Language
20%
Arbitrary Position
20%
Language Instruction
20%
Robot Arm
20%
Precedence Constraints
20%
NASA Task Load Index (NASA-TLX)
20%
Multiple Robots
20%
Unstructured Scenes
20%
Verification Approaches
20%
Ablation Analysis
20%
Pipeline Components
20%
Task Order
20%
Computer Science
multiple robot
100%
Large Language Model
100%
Correctness
40%
Computer Vision
20%
Autonomous System
20%
Varying Degree
20%
Human Participant
20%
Action Sequence
20%
Precedence Constraint
20%
Component Class
20%