首页|Findings from Xi’an University of Science and Technology Reveals New Findings on Robotics (Ant Colony Optimization-based Method for Energy-efficient Cutting Tra jectory Planning In Axial Robotic Roadheader)
Findings from Xi’an University of Science and Technology Reveals New Findings on Robotics (Ant Colony Optimization-based Method for Energy-efficient Cutting Tra jectory Planning In Axial Robotic Roadheader)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now availab le. According to news originating from Xi’an, People’s Republic of China, by New sRx correspondents, research stated, “The traditional cutting trajectory of the axial robotic roadheader (spiral or reciprocating) is too simple to meet the req uirements of adaptive planning. We proposed a method for planning the cutting tr ajectory of an axial robot roadheader based on ant colony optimization, which en ables the machine to automatically adapt to the rock characteristics of the tunn el face, solves the problems of high energy consumption and low cutting efficien cy in existing methods.” Funders for this research include National Natural Science Foundation of China ( NSFC), Key R & D Project in Shaanxi.
Xi’anPeople’s Republic of ChinaAsiaAnt Colony OptimizationEmerging TechnologiesMachine LearningRoboticsRob otsXi’an University of Science and Technology
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