REBELION - Research and development of a highly automated and safe streamlined process for increased Lithium-ion battery repurposing and recycling

Short title	REBELION - Research and development of a highly automated and safe streamlined process for increased Lithium-ion battery repurposing and recycling
Status	Active
Effective start/end date	1/06/23 → 30/11/26

An online hyper‐volume action bounding approach for accelerating the process of deep reinforcement learning from multiple controllers
Aflakian, A., Rastegarpanah, A., Hathaway, J. & Stolkin, R., 28 Apr 2024, (E-pub ahead of print) In: Journal of Field Robotics. 15 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
32 Downloads (Pure)
Electric Vehicle Battery Disassembly Using Interfacing Toolbox for Robotic Arms
Rastegarpanah, A., Mineo, C., Contreras, C. A., Aflakian, A., Paragliola, G. & Stolkin, R., 27 Apr 2024, In: Batteries. 10, 5, 15 p., 147.
Research output: Contribution to journal › Article › peer-review

Open Access
File
62 Downloads (Pure)
Harnessing CNN-DNC and CNN-LSTM-DNC Architectures for Enhanced Lithium-Ion Remaining Useful Life Prediction
Rastegarpanah, A., Contreras, C. A. & Stolkin, R., 18 Jan 2024, 2023 Eleventh International Conference on Intelligent Computing and Information Systems (ICICIS). IEEE, p. 116-121 6 p. 10391131. (International Conference on Intelligent Computing and Information Systems).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Project Details