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Yibei Guo, Yijiang Pang, Joseph Lyons, Michael Lewis, Katia Sycara and Rui Liu
Due to the complexity of real-world deployments, a robot swarm is required to dynamically respond to tasks such as tracking multiple vehicles and continuously searching for victims. Frequent task assignments eliminate the need for system calibration time...
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Juan F. Guerra, Ramon Garcia-Hernandez, Miguel A. Llama and Victor Santibañez
This work presents a comprehensive comparative analysis of four prominent swarm intelligence (SI) optimization algorithms: Ant Lion Optimizer (ALO), Bat Algorithm (BA), Grey Wolf Optimizer (GWO), and Moth Flame Optimization (MFO). When compared under the...
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Petr Kadlec
This paper aims to solve the space robot pathfinding problem, formulated as a multi-objective (MO) optimization problem with a variable number of dimensions (VND). This formulation enables the search and comparison of potential solutions with different m...
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You Zhou, Shaowu Zhou, Mao Wang and Anhua Chen
A multitarget search algorithm for swarm robot in an unknown 3D mountain environment is proposed. Most existing 3D environment obstacle avoidance algorithms are potential field methods, which need to consider the location information of all obstacles aro...
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Jinfu Li, Yongxi Liu, Ze Yu, Yuntao Guan, Yingzhuo Zhao, Zheming Zhuang and Tao Sun
In this paper, a wheel-legged mobile robot is proposed. The parameter design of the wheel-leg structure is completed using geometric analysis and statics modeling. The curling mechanism is chosen as the main part of the robot, expanding the robot?s appli...
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Yonghui Cao, Yingzhuo Cao, Shumin Ma, Xinhao Li, Yilin Qu and Yong Cao
Currently, the bionic robotic fish is primarily devoted to the bionic appearance of fish and rarely involves the bionic swimming posture. However, biological studies have proved that fish have extraordinary swimming ability, so it is necessary to imitate...
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Minglei Xiong and Guangming Xie
Although underwater robot swarms have demonstrated increasing application prospects, organizing and optimizing the swarm?s scheduling for uncertain tasks are challenging. Thus, we designed robot games and task allocation experiments, where the robots hav...
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Baodong Ma, Quan Liu, Ziwei Jiang, Defu Che, Kehan Qiu and Xiangxiang Shang
Path planning is widely used in many domains, and it is crucial for the advancement of map navigation, autonomous driving, and robot path planning. However, existing path planning methods have certain limitations for complex field scenes with undulating ...
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Changyu Lu, Jianmin Yang, Bernt Johan Leira, Qihang Chen and Shulin Wang
Three-dimensional path planning is instrumental in path decision making and obstacle avoidance for deep-sea mining vehicles (DSMV). However, conventional particle swarm algorithms have been prone to trapping in local optima and have slow convergence rate...
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Davide Chiarella
The underwater environment is a harmful environment, yet one of the richest and least exploited. For these reasons the idea of a robotic companion with the task of supporting and monitoring divers during their activities and operations has been proposed....
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