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A distributed competitive and collaborative coordination for multirobot systems
M Liu, Y Li, Y Chen, Y Qi, L ** - IEEE Transactions on Mobile …, 2024 - ieeexplore.ieee.org
Enlightened by competitive and collaborative coordination behaviors widely observed in
natural swarm systems, this work emphasizes these coordinating modes in multirobot …
natural swarm systems, this work emphasizes these coordinating modes in multirobot …
UAV path planning algorithm based on Deep Q-Learning to search for a floating lost target in the ocean
In the context of real world application, Search and Rescue Missions on the ocean surface
remain a complex task due to the large-scale area and the forces of the ocean currents …
remain a complex task due to the large-scale area and the forces of the ocean currents …
Diffusion Generalized Minimum Total Error Entropy Algorithm
Both the minimum error entropy (MEE) and mixture MEE (MMEE) are extensively employed
in distributed adaptive filters, exhibiting their robustness against non-Gaussian noise by …
in distributed adaptive filters, exhibiting their robustness against non-Gaussian noise by …
From Agents to Robots: A Training and Evaluation Platform for Multi-robot Reinforcement Learning
Multi-robot reinforcement learning (MRRL) is a promising approach to solving cooperation
problems and has been widely adopted in many applications. In the past decades …
problems and has been widely adopted in many applications. In the past decades …
High-level programming support and collision avoidance control for heterogeneous mobile robots
J Chen - 2024 - theses.lib.polyu.edu.hk
Mobile robots with diverse capabilities are being widely adopted in various domains,
including search and rescue scenarios, autonomous warehousing, and manufacturing. As …
including search and rescue scenarios, autonomous warehousing, and manufacturing. As …