Hand-eye coordination for grasping moving objects

Peter K. Allen; Billibon Yoshimi; Alexander Timcenko; Paul Michelman

doi:10.1117/12.25255

1 April 1991 Hand-eye coordination for grasping moving objects

Peter K. Allen, Billibon Yoshimi, Alexander Timcenko, Paul Michelman

Author Affiliations +

Proceedings Volume 1383, Sensor Fusion III: 3D Perception and Recognition; (1991) https://doi.org/10.1117/12.25255
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

Abstract

Most robotic grasping tasks assume a stationary or fixed object. In this paper, we explore the requirements for grasping a moving object. This task requires proper coordination between at least 3 separate subsystems: dynamic vision sensing, real-time arm control, and grasp control. As with humans, our system first visually tracks the object’s 3-D position. Because the object is in motion, this must be done in a dynamic manner to coordinate the motion of the robotic arm as it tracks the object. The dynamic vision system is used to feed a real-time arm control algorithm that plans a trajectory. The arm control algorithm is implemented in two steps: 1) filtering and prediction, and 2) kinematic transformation computation. Once the trajectory of the object is tracked, the hand must intercept the object to actually grasp it. We present 3 different strategies for intercepting the object and results from the tracking algorithm.

Citation Download Citation

Peter K. Allen, Billibon Yoshimi, Alexander Timcenko, and Paul Michelman "Hand-eye coordination for grasping moving objects", Proc. SPIE 1383, Sensor Fusion III: 3D Perception and Recognition, (1 April 1991); https://doi.org/10.1117/12.25255

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