Work

Contact-Based Digital Twins Modeling for Reinforcement Learning of Robotic Disassembly Operations

Year: 2025

Type: article

Source: IEEE Transactions on Industrial Cyber-Physical Systems

DOI: 10.1109/ticps.2025.3589351

Authors: M. Qu, D. T. Pham, F. Lan, Z. Wu, Y. Zang, Y. Zhang, Y. Wang

Institutions: University of Birmingham, Wuhan University of Technology

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Engineering and Physical Sciences Research Council

Awards: Robotic disassembly technology as a key enabler of autonomous remanufacturing, Self-learning robotics for industrial contact-rich tasks (ATARI): enabling smart learning in automated disassembly

OpenAlex ID: W4412444821

FWCI: 0.408

Cites: 36

Cited by: 1

Related to: 10