Towards cost-effective and safe contact-rich robotic manipulation with reinforcement learning: A review of techniques for future industrial automation

Anselmo Parnada^*
, Mo Qu
, Marco Castellani
, Hyung Jin Chang
, Yongjing Wang

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

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Self-learning robotics for industrial contact-rich tasks (ATARI): enabling smart learning in automated disassembly
Wang, Y. W. (Principal Investigator)
Engineering & Physical Science Research Council
1/05/22 → 31/10/24
Project: Research Councils