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Published in 2018 at "Autonomous Agents and Multi-Agent Systems"
DOI: 10.1007/s10458-018-9391-2
Abstract: In the domain of multi-robot path-planning problems, robots must move from their start locations to their goal locations while avoiding collisions with each other. The research problem that we addressed is to find a complete…
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Keywords:
algorithm;
robot path;
multi robot;
path ... See more keywords
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Published in 2021 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-021-00614-w
Abstract: The integration of warehouse management systems with robotics and Evolutionary Intelligence (EVIN) technology is currently in the focus as a way to optimize warehouse operation and reduce assembly costs. This study proposes an EVIN-based solution…
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Keywords:
optimization;
robot path;
management;
warehouse management ... See more keywords
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Published in 2019 at "Journal of Manufacturing Processes"
DOI: 10.1016/j.jmapro.2019.04.014
Abstract: Abstract For spot welding process, rational weld joints sequence can improve productivity for welding robot. Hence, intelligent path optimization strategy is introduced to obtain optimized weld joints sequence in this article. Description of welding robot…
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Keywords:
robot path;
path;
algorithm;
spot welding ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2878615
Abstract: To make the welding robot more reasonable and furthermore improve the productivity and reduce costs, two intelligent algorithms for welding path optimization, genetic algorithm (GA) and discrete particle swarm optimization, are proposed to optimize the…
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Keywords:
algorithm;
robot path;
path optimization;
optimization ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2974498
Abstract: Chicken swarm optimization (CSO) algorithm is one of very effective intelligence optimization algorithms, which has good performance in solving global optimization problems (GOPs). However, the CSO algorithm performs relatively poorly in complex GOPs for some…
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Keywords:
optimization;
robot path;
chicken swarm;
path planning ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3272223
Abstract: Aiming at the problems of the A* algorithm in mobile robot path planning, such as multiple nodes, low path accuracy, long running time and difficult path initialization of particle swarm optimization, an APSO algorithm combining…
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Keywords:
mobile robot;
path;
algorithm mobile;
robot path ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3199674
Abstract: Path planning is a crucial algorithmic approach for designing robot behaviors. Sampling-based approaches, like rapidly exploring random trees (RRTs) or probabilistic roadmaps, are prominent algorithmic solutions for path planning problems. Despite its exponential convergence rate,…
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Keywords:
monte carlo;
path;
rrt;
robot path ... See more keywords
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Published in 2020 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2020/9813040
Abstract: In this study, a new method of smooth path planning is proposed based on Bezier curves and is applied to solve the problem of redundant nodes and peak inflection points in the path planning process…
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Keywords:
robot path;
optimization;
path;
planning based ... See more keywords
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Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0276577
Abstract: Mobile robot path planning has attracted much attention as a key technology in robotics research. In this paper, a reformative bat algorithm (RBA) for mobile robot path planning is proposed, which is employed as the…
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Keywords:
rba;
mobile robot;
path;
robot path ... See more keywords
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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10082799
Abstract: Environment maps must first be generated to drive mobile robots automatically. Path planning is performed based on the information given in an environment map. Various types of sensors, such as ultrasonic and laser sensors, are…
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Keywords:
laser;
transparent obstacles;
robot path;
mobile robot ... See more keywords