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pro vyhledávání: '"Zhou, Mingxi"'
Autor:
Jandaghi, Emadodin, Stein, Dalton L., Hoburg, Adam, Stegagno, Paolo, Zhou, Mingxi, Yuan, Chengzhi
This paper addresses the problem of composite synchronization and learning control in a network of multi-agent robotic manipulator systems with heterogeneous nonlinear uncertainties under a leader-follower framework. A novel two-layer distributed ada
Externí odkaz:
http://arxiv.org/abs/2403.00987
Robotic underwater systems, e.g., Autonomous Underwater Vehicles (AUVs) and Remotely Operated Vehicles (ROVs), are promising tools for collecting biogeochemical data at the ice-water interface for scientific advancements. However, state estimation, i
Externí odkaz:
http://arxiv.org/abs/2303.17005