首页|Findings from Northeastern University Has Provided New Data on Robotics (Optimal Moving-target Circumnavigation Control of Multiple Wheeled Mobile Robots Based On Adaptive Dynamic Programming)
Findings from Northeastern University Has Provided New Data on Robotics (Optimal Moving-target Circumnavigation Control of Multiple Wheeled Mobile Robots Based On Adaptive Dynamic Programming)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news originating from Shenyang, People’s Republic of China, by NewsRx correspondents, research stated, “Based on both the kinematic and the dynamic models of Wheeled Mobile Robots (WMRs), an optimal circumnavigation con troller around moving targets is proposed by integrating backstepping control wi th adaptive dynamic programming (ADP) techniques. Initially, the cooperative cir cumnavigation challenge at the kinematic level is converted into a tracking task for the desired relative velocity by establishing a relative velocity error mod el between the robot and the target.” Funders for this research include National Natural Science Foundation of China ( NSFC), Fundamental Research Funds for the Central Universities, National Key R& D Program of China, The 111 Project 2.0, Xingliao Talent Program of Liaoning Pro vince.
ShenyangPeople’s Republic of ChinaAs iaDynamic ProgrammingEmerging TechnologiesMachine LearningNano-robotRo botRoboticsNortheastern University
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