首页|University of Tokyo Researcher Furthers Understanding of Androids (Sampling-Base d Global Path Planning Using Convex Polytope Approximation for Narrow Collision- Free Space of Humanoid)
University of Tokyo Researcher Furthers Understanding of Androids (Sampling-Base d Global Path Planning Using Convex Polytope Approximation for Narrow Collision- Free Space of Humanoid)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on androids is now availab le. According to news reporting from Tokyo, Japan, by NewsRx journalists, resear ch stated, “In this paper, we propose a computationally fast method of sampling- based global path planning for humanoids under Manifold Constraints such as clos ed kinematic chains and Volume-Reducing Constraints such as collision avoidance. ” Financial supporters for this research include Jsps Kakenhi.
University of TokyoTokyoJapanAsiaEmerging TechnologiesMachine LearningRobotics
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