首页|New Robotics Findings from McGill University Discussed (Chanceconstrained Rollover-free Manipulation Planning With Uncertain Payload Mass)
New Robotics Findings from McGill University Discussed (Chanceconstrained Rollover-free Manipulation Planning With Uncertain Payload Mass)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been presented. According to news originating fromMontreal, Canada, by NewsRx correspondents, research stated, “This article presents a chance-constrainedrollover-free manipulation planning method for robotic arms under payload mass uncertainty. The correspondingmotion planning problem is stated as a chance-constrained nonlinear optimal control problem(NOCP) subject to kinematics and rollover stability constraints.”
MontrealCanadaNorth and Central AmericaEmerging TechnologiesMachine LearningRobotRoboticsMcGill University
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