首页|Findings on Robotics Reported by Investigators at Michigan Technological Univers ity (A Heuristic for Task Allocation and Path Planning of Multiple Tethered Unde rwater Robots Considering Workload Balance)
Findings on Robotics Reported by Investigators at Michigan Technological Univers ity (A Heuristic for Task Allocation and Path Planning of Multiple Tethered Unde rwater Robots Considering Workload Balance)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics. According to news reporting fromHoughton, Michigan, by NewsRx journal ists, research stated, “This paper introduces a heuristic approachto address th e operational challenges of task allocation and path planning of multiple tether ed underwaterrobot (TUR) systems while ensuring tether entanglement avoidance. Multiple TUR systems, benefitingfrom bottomless power and stable communication via tethers, hold significant potential for various applications, including ecos ystem exploration, infrastructure inspection, maintenance, search and rescue, underwater construction, and surveillance.”
HoughtonMichiganUnited StatesNorth and Central AmericaEmerging TechnologiesMachine LearningNano-robotRobot icsMichigan Technological University
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