TY - GEN
T1 - On-line motion-feedforward pose recognition invariant For dynamic hand-eye motion
AU - Song, Wei
AU - Minami, Mamoru
PY - 2008
Y1 - 2008
N2 - This paper presents a pose measurement method of a 3D object detected by hand-eye cameras. We propose a motion-feedforward (MFF) method to improve visual recognition dynamics, which become worse by disturbing hand-eye motion during visual servoing of the robot manipulator. The MFF method is used to compensate the fictional target motions in the camera view Induced by the end-effctor's motion, so the pose recognition can be assumed invariant for dynamic hand-eye motion. The effectiveness of the proposed method is confirmed by simulations of object's 3D pose recognition being affected by dynamical oscillations of hand-eye cameras.
AB - This paper presents a pose measurement method of a 3D object detected by hand-eye cameras. We propose a motion-feedforward (MFF) method to improve visual recognition dynamics, which become worse by disturbing hand-eye motion during visual servoing of the robot manipulator. The MFF method is used to compensate the fictional target motions in the camera view Induced by the end-effctor's motion, so the pose recognition can be assumed invariant for dynamic hand-eye motion. The effectiveness of the proposed method is confirmed by simulations of object's 3D pose recognition being affected by dynamical oscillations of hand-eye cameras.
UR - http://www.scopus.com/inward/record.url?scp=52449083576&partnerID=8YFLogxK
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U2 - 10.1109/AIM.2008.4601806
DO - 10.1109/AIM.2008.4601806
M3 - Conference contribution
AN - SCOPUS:52449083576
SN - 9781424424955
T3 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
SP - 1047
EP - 1052
BT - Proceedings of the 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2008
T2 - 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2008
Y2 - 2 August 2008 through 5 August 2008
ER -