Allen Peter K. author Columbia University. Computer Science Timcenko Aleksandar author Columbia University. Computer Science Yoshimi Billibon author Columbia University. Computer Science Michelman Paul author Columbia University. Computer Science Columbia University. Computer Science originator text Articles 1992 English The authors explore the requirements for grasping a moving object. This task requires proper coordination between at least three separate subsystems: real-time vision sensing, trajectory-planning/arm-control, and grasp planning. As with humans, the system first visually tracks the object's 3D position. Because the object is in motion, this must be done in real-time to coordinate the motion of the robotic arm as it tracks the object. The vision system is used to feed an arm control algorithm that plans a trajectory. The arm control algorithm is implemented into two steps: filtering and prediction and kinematic transformation computation. Once the trajectory of the object is tracked, the hand must intercept the object to actually grasp it. Experimental results are presented in which a moving model train was tracked, stably grasped, and picked up by the system. Robotics Los Alamitos, Calif. IEEE 1992 1850 1856 http://dx.doi.org/10.1109/ROBOT.1992.219958 http://hdl.handle.net/10022/AC:P:15243 NNC NNC 2012-11-08 16:06:35 -0500 2012-11-08 16:11:05 -0500 9245 eng