首页|New Findings from University of Toronto in the Area of Robotics Described (Optim al Initialization Strategies for Range-only Trajectory Estimation)
New Findings from University of Toronto in the Area of Robotics Described (Optim al Initialization Strategies for Range-only Trajectory Estimation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reporting originating from Toronto, Canada, b y NewsRx correspondents, research stated, “Range-only (RO) poseestimation invol ves determining a robot’s pose over time by measuring the distance between multi pledevices on the robot, known as tags, and devices installed in the environmen t, known as anchors. Thenon-convex nature of the range measurement model result s in a cost function with possible local minima.”Financial support for this research came from CGIAR.
TorontoCanadaNorth and Central Ameri caEmerging TechnologiesMachine LearningRobotRoboticsUniversity of Toro nto
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