Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jamie Hathaway"'
Publikováno v:
IEEE Access, Vol 12, Pp 103461-103472 (2024)
We propose a framework for contact-rich path following with reinforcement learning based on a mixture of visual and tactile feedback to achieve path following on unknown environments. We employ a curriculum-based domain randomisation approach with a
Externí odkaz:
https://doaj.org/article/8f5be9612fca4832b9087d00a22aa2f8
Autor:
Jamie Hathaway, Abdelaziz Shaarawy, Cansu Akdeniz, Ali Aflakian, Rustam Stolkin, Alireza Rastegarpanah
Publikováno v:
Frontiers in Robotics and AI, Vol 10 (2023)
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, design complexity, compounded by uncertainty and safety issues from varyin
Externí odkaz:
https://doaj.org/article/3a1c1d1516414e608ef1e6d9012d26ce
Autor:
Sean Scott, Zayd Islam, Jack Allen, Tanongsak Yingnakorn, Ali Alflakian, Jamie Hathaway, Alireza Rastegarpanah, Gavin D.J. Harper, Emma Kendrick, Paul A. Anderson, Jacqueline Edge, Laura Lander, Andrew P. Abbott
Publikováno v:
Next Energy, Vol 1, Iss 2, Pp 100023- (2023)
While electric vehicles are seen as an important tool in the decarbonisation of transport, pack and module architectures make disassembly and recycling slow and complex. Removal of physical fastenings such as clips, screws, welds and adhesives are th
Externí odkaz:
https://doaj.org/article/ed685377d0354ad6a12a8a96de7ef458
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
The control of the interaction between the robot and environment, following a predefined geometric surface path with high accuracy, is a fundamental problem for contact-rich tasks such as machining, polishing, or grinding. Flexible path-following con
Externí odkaz:
https://doaj.org/article/cb95e1be662e47fda1f55a4039872052
Publikováno v:
Energies, Vol 14, Iss 9, p 2597 (2021)
The continually expanding number of electric vehicles in circulation presents challenges in terms of end-of-life disposal, driving interest in the reuse of batteries for second-life applications. A key aspect of battery reuse is the quantification of
Externí odkaz:
https://doaj.org/article/cd5c969a562a45a98a518e5a935867a4
This paper fuses ideas from Reinforcement Learning (RL), Learning from Demonstration (LfD), and Ensemble Learning into a single paradigm. Knowledge from a mixture of control algorithms (experts) are used to constrain the action space of the agent, en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d104aa940f6c4d57a9786e4e9b621a5
https://doi.org/10.22541/au.168312072.24350238/v1
https://doi.org/10.22541/au.168312072.24350238/v1
Autor:
Jamie Hathaway, Alireza Rastegarpanah, Mohamed Ahmeid, Simon Lambert, Allan Walton, Rustam Stolkin
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering. 235:330-346
There is growing interest in recycling and re-use of electric vehicle batteries owing to their growing market share and use of high-value materials such as cobalt and nickel. To inform the subsequent applications at battery end of life, it is necessa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fc5419262a7b9e97bfd434f06e24edb
https://doi.org/10.1177/0959651820953254
https://doi.org/10.1177/0959651820953254
Publikováno v:
Energies
Volume 14
Issue 9
Energies, Vol 14, Iss 2597, p 2597 (2021)
Volume 14
Issue 9
Energies, Vol 14, Iss 2597, p 2597 (2021)
The continually expanding number of electric vehicles in circulation presents challenges in terms of end-of-life disposal, driving interest in the reuse of batteries for second-life applications. A key aspect of battery reuse is the quantification of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb3c9157fc9e18048bd649dc31cefcbf
https://doi.org/10.3390/en14092597
https://doi.org/10.3390/en14092597