Titlebook: Advances in Swarm Intelligence; 14th International C Ying Tan,Yuhui Shi,Wenjian Luo Conference proceedings 2023 The Editor(s) (if applicabl

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A Blockchain-Based Service-Oriented Framework to Enable Cooperation of Swarm Robotss of deploying a swarm robotic system, we present a blockchain-based service-oriented framework to ensure the secured cooperation among heterogeneous swarm robots. Our work adopts smart contracts working on the blockchain to design service functions for swarm robots. The major service functions for

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Integrating Reinforcement Learning and Optimization Task: Evaluating an Agent to Dynamically Select it difficult for the practitioner to choose the most suitable meta-heuristic (RL) for a specific problem. This paper shows that Reinforcement Learning could be a powerful tool for SI. First, we describe a Reinforcement Learning environment to solve an optimization problem. Then, we investigate the u

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MACT: Multi-agent Collision Avoidance with Continuous Transition Reinforcement Learning via Mixupccess in some robotic control tasks, it remains challenging to apply it to real-world multi-agent collision tasks due to poor sample efficiency. The limited amount of transition data available and its strong correlation with multi-agent task characteristics have restricted recent research in this ar

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Research on UAV Dynamic Target Tracking with Multi-sensor Position Feedbackis one of the key technologies to achieve adaptive flight, efficient reconnaissance and precise attack. A control method of adaptive target tracking and obstacle avoidance for rotorcraft UAVs is proposed in the paper to solve the problem. According to the characteristics of the nonlinear UAVs’ syste

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