Abstract: Transfer learning in robotics aims to transfer knowledge across different robot agents or tasks. Current methods in trajectory tracking problems leverage transferred knowledge to provide a ...
Abstract: This paper presents a data-driven iterative learning control (ILC) framework to tackle the critical challenge of achieving dynamic symmetry and trajectory coordination in multi-agent systems ...
1 Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg, Luxembourg 2 Department of Electrical and Computer Engineering (EIT), RPTU University of ...
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