4 papers
End-to-end example-based sim-to-real RL policy transfer based on neural stylisation with application to robotic cutting
Jamie Hathaway, Alireza Rastegarpanah, Rustam Stolkin
Whereas reinforcement learning has been applied with success to a range of robotic control problems in complex, uncertain environments, reliance on extensive data - typically sourc…
Imitation learning for sim-to-real transfer of robotic cutting policies based on residual Gaussian process disturbance force model
Jamie Hathaway, Rustam Stolkin, Alireza Rastegarpanah
Robotic cutting, or milling, plays a significant role in applications such as disassembly, decommissioning, and demolition. Planning and control of cutting in real-world scenarios…
Towards Reuse and Recycling of Lithium-ion Batteries: Tele-robotics for Disassembly of Electric Vehicle Batteries
Jamie Hathaway, Abdelaziz Shaarawy, Cansu Akdeniz +3
Disassembly of electric vehicle batteries is a critical stage in recovery, recycling and re-use of high-value battery materials, but is complicated by limited standardisation, desi…
Learning robotic milling strategies based on passive variable operational space interaction control
Jamie Hathaway, Alireza Rastegarpanah, Rustam Stolkin
This paper addresses the problem of robotic cutting during disassembly of products for materials separation and recycling. Waste handling applications differ from milling in manufa…