Temporal and Physical Reasoning for Perception-Based Robotic Manipulation

11 Oct 2017 Felix Jonathan Chris Paxton Gregory D. Hager

Accurate knowledge of object poses is crucial to successful robotic manipulation tasks, and yet most current approaches only work in laboratory settings. Noisy sensors and cluttered scenes interfere with accurate pose recognition, which is problematic especially when performing complex tasks involving object interactions... (read more)

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