首页|Researchers from Shanghai University of Electric Power Report Recent Findings in Robotics (Fuzzy Adaptive Model Predictive Control for Image-based Visual Servoing of Robot Manipulators With Kinematic Constraints)
Researchers from Shanghai University of Electric Power Report Recent Findings in Robotics (Fuzzy Adaptive Model Predictive Control for Image-based Visual Servoing of Robot Manipulators With Kinematic Constraints)
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NETL
NSTL
Inst Control Robotics & Systems, Korean Inst Electrical Engineers
Investigators publish new report on Robotics. According to news reporting originating in Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “This paper presents a novel imagebased visual servoing (IBVS) controller for a six-degree-of-freedom (6-DoF) robot manipulator by employing a fuzzy adaptive model predictive control (FAMPC) approach. The control strategy allows the robot to track the desired feature points adaptively and fulfill kinematic constraints appearing in a vision-guided task with different initial Cartesian poses.”
ShanghaiPeople’s Republic of ChinaAsiaEmerging TechnologiesFuzzy LogicMachine LearningRobotRoboticsShanghai University of Electric Power
NETL
NSTL
Inst Control Robotics & Systems, Korean Inst Electrical Engineers
