首页|New Robotics Study Results from Concordia University Described (Robust Photogram metry Sensor-based Real-time Pose Control of Industrial Robots)
New Robotics Study Results from Concordia University Described (Robust Photogram metry Sensor-based Real-time Pose Control of Industrial Robots)
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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 reporting originating from Montreal, Canada, by NewsRx cor respondents, research stated, “This article proposes a novel robust approach for accurate real-time pose control (RPC) of industrial robots based on photogramme try sensors. The proposed method comprises two main parts: accurate pose detecti on using a photogrammetry sensor and robust Kalman filter (RKF) and RPC of the r obot's end-effector utilizing a chattering-reduced sliding mode controller (CRSM C) with a nonlinear sliding surface.”
MontrealCanadaNorth and Central AmericaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsConco rdia University
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