首页|Researchers from Shanghai Polytechnic University Report Recent Findings in Robot ics (Path Planning for Substation Inspection Robots Based on a Fusion Algorithm Incorporation JPS and DWA)
Researchers from Shanghai Polytechnic University Report Recent Findings in Robot ics (Path Planning for Substation Inspection Robots Based on a Fusion Algorithm Incorporation JPS and DWA)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews-Investigators publish new report on robotics. Acc ording to news reporting originating fromShanghai, People's Republic of China, by NewsRx correspondents, research stated, "Substation inspectionrobots often e ncounter complex environments, making the rapid identification of accessible pat hs crucial."Our news correspondents obtained a quote from the research from Shanghai Polytec hnic University:"Traditional global path planning methods for substation inspec tion robots are often characterized byshortcomings, such as prolonged execution times and substantial memory consumption. To address theseissues, this paper i ntroduces a novel strategy that integrates an improved jump point search (JPS) algorithm with the dynamic window algorithm (DWA). To mitigate the slow search sp eed of the traditionalJPS algorithm, this study first proposes a bidirectional jump-point search technique. Additionally, anadaptive end-search mechanism is i ntroduced to address the potential issue of non-overlapping jump pointsduring t he bidirectional search process. Second, to further enhance the reliability of t he jump-point searchalgorithm, the search range is expanded from the original 8 domains to 16 domains. Additionally, a novelobstacle avoidance strategy and a revised cost function are proposed."
Shanghai Polytechnic UniversityShangha iPeople's Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningNano-robotRobotics
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