Self-learning robotics for industrial contact-rich tasks (ATARI): enabling smart learning in automated disassembly

Wang, Yongjing Wang (Principal Investigator)

Mechanical Engineering

Short title	Self-learning robotics for industrial contact-rich tasks (ATARI): enabling smart learning in automated disassembly
Status	Active
Effective start/end date	1/05/22 → 31/10/24

Funding

Engineering & Physical Science Research Council

5 Article
2 Conference contribution

Jamming problems and the effects of compliance in dual peg-hole disassembly
Goli, F., Zhang, Y., Qu, M., Zang, Y., Saadat, M., Pham, D. T. & Wang, Y., 20 Mar 2024, In: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 480, 2286, 26 p., 20230364.
Research output: Contribution to journal › Article › peer-review

Open Access
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2 Downloads (Pure)
Learning by doing: A dual-loop implementation architecture of deep active learning and human-machine collaboration for smart robot vision
Deng, W., Liu, Q., Zhao, F., Pham, D. T., Hu, J., Wang, Y. & Zhou, Z., Apr 2024, In: Robotics and Computer-Integrated Manufacturing. 86, 20 p., 102673.
Research output: Contribution to journal › Article › peer-review
Predictive exposure control for vision-based robotic disassembly using deep learning and predictive learning
Deng, W., Liu, Q., Pham, D. T., Hu, J., Lam, K-M., Wang, Y. & Zhou, Z., Feb 2024, In: Robotics and Computer-Integrated Manufacturing. 85, 17 p., 102619.
Research output: Contribution to journal › Article › peer-review