首页|Tianjin Chengjian University Researcher Reports Recent Findings in Robotics (Imp roved A* Algorithm for Mobile Robots under Rough Terrain Based on Ground Traffic ability Model and Ground Ruggedness Model)
Tianjin Chengjian University Researcher Reports Recent Findings in Robotics (Imp roved A* Algorithm for Mobile Robots under Rough Terrain Based on Ground Traffic ability Model and Ground Ruggedness Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Researchers detail new data in robotics. Accordin g to news reporting from Tianjin, People’sRepublic of China, by NewsRx journali sts, research stated, “Considering that the existing path planningalgorithms fo r mobile robots under rugged terrain do not consider the ground flatness and the lack ofoptimality, which leads to the instability of the center of mass of the mobile robot, this paper proposes animproved A* algorithm for mobile robots un der rugged terrain based on the ground accessibility modeland the ground rugged ness model.”
Tianjin Chengjian UniversityTianjinP eople’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine Lear ningNano-robotRobotics
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