| C. E. Smith and N. P. Papanikolopoulos. Grasping of static and moving objects using a vision-based control approach. Journal of Intelligent and Robotic Systems, (19):237--270, 1997. |
...., T = Presented at The 34th IEEE Conference on Decision and Control, New Orleans, LA, Dec. 13 15, 1995. rotational motion : 2.1) 2. 2) The continuous extraction of the positions of the features projections on the image plane is based on optical flow techniques as presented in [12] 17][19]. Coarse and fine features We decompose the motion into coarse and fine segments by using two different classes of object features during operation as presented in [19] Due to the wide range of relative object depth, initial object features will pass out of the view of the camera due to looming ....
.... of the positions of the features projections on the image plane is based on optical flow techniques as presented in [12] 17] 19] Coarse and fine features We decompose the motion into coarse and fine segments by using two different classes of object features during operation as presented in [19]. Due to the wide range of relative object depth, initial object features will pass out of the view of the camera due to looming during the grasp reach. Therefore, we use coarse and fine features to guide manipulator. Coarse features are used to initially align the gripper and to begin the ....
[Article contains additional citation context not shown here]
C. Smith and N. Papanikolopoulos, "Grasping of static and moving objects using a vision-based control approach," Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 329-334, 1995.
No context found.
Smith, C. and Papanikolopoulos, N.P. (1995a) "Grasping of static and moving objects using a vision-based control approach," Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 329-334.
....been introduced in the discussion of the previous work in the area. We will attempt to clarify the issues that need to be addressed, offer some of the trade offs related to these issues, and detail our own design decisions that were made during the development of our visionguided grasping system [9][10] based upon the MRVT [2] 3.1 Open Loop Versus Closed Loop Control One of the most basic design issues in any vision based robotic system is the choice of open or closed loop control. Many grasping systems use open loop control to eliminate the need to either sense the end effector via the ....
....and for the measurement of error in the system. For our system, we chose an adaptive, closed loop controller to reduce calibration requirements and to provide what we considered a better potential for the subsequent extension of the system to moving objects that exhibit non constant motion [9][10] The controller is a based upon a repositioning controller that attempts to drive object feature points to selected positions on the image plane (see [10] for a discussion of the control law) 3.2 Blind or Visually Guided Grasps Many vision based robotic systems for grasping attempt to ....
[Article contains additional citation context not shown here]
C. Smith and N. Papanikolopoulos, "Grasping of static and moving objects using a vision-based control approach," Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 329-334, 1995.
No context found.
C. E. Smith and N. P. Papanikolopoulos. Grasping of static and moving objects using a vision-based control approach. Journal of Intelligent and Robotic Systems, (19):237--270, 1997.
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