首页|Findings from Beijing Key Laboratory Update Understanding of Robotics (Mpmc-fram e: Multiplatform Migration Control Framework for Manipulator Control)
Findings from Beijing Key Laboratory Update Understanding of Robotics (Mpmc-fram e: Multiplatform Migration Control Framework for Manipulator Control)
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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 reporting originating in Beijing, People's Republic of China, by NewsRx journalists, research stated, "Existing robot control models s uffer from poor generalization performance due to varied tasks between manipulat ors, configuration differences, and physical limits of motion. To address this p roblem, a multiplatform migration control framework (MPMC-frame) based on a cons trained dynamics model is proposed in this paper." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Beijing Natural Science Foundation, Open Projects Program of State Key Laboratory of Multimodal Artificial Intelligence Systems. The news reporters obtained a quote from the research from Beijing Key Laborator y, "First, a model of the robotic manipulator dynamics with configuration adjust ment (CA) is constructed based on a neural network to unify the physical joint d ata of different manipulators. Second, the model -based controller that can be i ntegrated into the framework is designed, and the constraint on the upper bound on the error of uncertain parameters in the control law to guarantee the control robustness and accuracy of the controller for different manipulator platforms. Final, the generic potential function is designed based on multiplatform task re quirements, and a task parameter table is constructed to improve the joint motio n control performance of MPMC-frame."
BeijingPeople's Republic of ChinaAsi aEmerging TechnologiesMachine LearningRoboticsRobotsBeijing Key Labora tory
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