Robotics & Machine Learning Daily News2024,Issue(MAY.6) :91-91.

Study Results from School of Mechanical Engineering Broaden Understanding of Robotics (Bi-Objective Function Optimization for Welding Robot Parameters to Improve Manipulability)

Robotics & Machine Learning Daily News2024,Issue(MAY.6) :91-91.

Study Results from School of Mechanical Engineering Broaden Understanding of Robotics (Bi-Objective Function Optimization for Welding Robot Parameters to Improve Manipulability)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on robotics are disc ussed in a new report. According to newsoriginating from Busan, South Korea, by NewsRx correspondents, research stated, “This paper presentsa study on optimal design to determine the installation position and link lengths of a robot withi n adesignated workspace for welding, aiming to minimize singularities during th e robot’s motion.”The news correspondents obtained a quote from the research from School of Mechan ical Engineering:“Bi-objective functions are formulated to minimize singulariti es while maximizing the volumes of linearvelocity manipulability ellipsoid and angular velocity manipulability ellipsoid, respectively, ensuring isotropy.We h ave constructed a simulation environment incorporating PID control to account fo r robot trackingerrors. This environment was utilized as a simulator to derive a Bi-objective function set within a geneticalgorithm. Through this, we optimiz ed four robot link length variables and two installation positionvariables, sel ecting the optimal design variables on the Pareto Front.”

Key words

School of Mechanical Engineering/Busan/South Korea/Asia/Emerging Technologies/Machine Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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