首页|Researchers from University of Toulouse Detail Findings in Robotics (Robust Moti on Planning With Accuracy Optimization Based On Learned Sensitivity Metrics)
Researchers from University of Toulouse Detail Findings in Robotics (Robust Moti on Planning With Accuracy Optimization Based On Learned Sensitivity Metrics)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news reporting out of Toulouse,France, by NewsRx editors, resea rch stated, “This letter addresses the problem of generating robust andaccurate trajectories taking into account uncertainties in the robot dynamic model. Base d on the notionof closed-loop sensitivity, which quantifies deviations in the c losed-loop trajectories of any robot/controllerpair against uncertainties in th e robot model parameters, uncertainty tubes can be derived for boundedparameter variations.”
ToulouseFranceEuropeEmerging Techn ologiesMachine LearningRobotRoboticsUniversity of Toulouse
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