EXPLOITING VISUAL CONSTRAINTS IN THE SYNTHESIS OF UNCERTAINTY-TOLERANT MOTION PLANS

被引:12
作者
FOX, A
HUTCHINSON, S
机构
[1] The Beckman Institute for Advanced Science and Technology, the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana
来源
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION | 1995年 / 11卷 / 01期
基金
美国国家科学基金会;
关键词
D O I
10.1109/70.345938
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We introduce visual constraint surfaces as a mechanism to effectively exploit visual constraints in the synthesis of uncertainty-tolerant robot motion plans. We first show how object features, together with their projections onto a camera image plane, define a set of visual constraint surfaces. These visual constraint surfaces can be used to effect visual guarded and visual compliant motions (which are analogous to guarded and compliant motion using force control). We then show how the backprojection approach to fine-motion planning can be extended to exploit visual constraints. Specifically, by deriving a configuration space representation of visual constraint surfaces, we are able to include visual constraint surfaces as boundaries of the directional backprojection. By examining the effect of visual constraints as a function of the direction of the commanded velocity, we are able to determine new criteria for critical velocity orientations, i.e. velocity orientations at which the topology of the directional backprojection might change.
引用
收藏
页码:56 / 71
页数:16
相关论文
共 42 条
  • [1] Agapakis J.E., Katz J.M., Friedman J.M., Epstein G.N., Vision-aided robotic welding: An approach and a flexible implementation, Int. J. Robotics Res., 9, 5, pp. 17-33, (1990)
  • [2] Allen P., Yoshimi B., Timcenko A., Real-time visual servoing, Proc. IEEE Int. Conf. Robotics Automat., pp. 851-856, (1991)
  • [3] Amon D.S., Geometric reasoning with logic and algebra, Artificial Intell., 37, pp. 37-60, (1988)
  • [4] Briggs A.J., An efficient algorithm for one-step planar compliant motion planning with uncertainty, Proc. ACM Annu. Symp. Computat. Geometry, (1989)
  • [5] Briggs A.J., An efficient algorithm for one-step planar compliant motion planning with uncertainty, Algorithmica, 8, pp. 195-208, (1992)
  • [6] Brooks R.A., Symbolic error analysis and robot planning, Int. J. Robotics Res., 1, 4, (1982)
  • [7] Canny J.F., On computability of fine motion plans, Proc. IEEE Int. Conf. Robotics Automat., pp. 177-182, (1989)
  • [8] CastanO A., Resolved-rate hybrid vision/position servo control of a robotic manipulator, M.S. thesis, (1992)
  • [9] CastanO A., Hutchinson S.A., Visual compliance: Task-directed visual servo control, IEEE Trans. Robotics Automat., 10, 3, pp. 334-342, (1994)
  • [10] Clocksin W.F., Bromley J.S.E., Davey P.G., Vidler A.R., Morgan C.G., An implementation of model-based visual feedback for robot arc welding of thin sheet steel, Int. J. Robotics Res., 4, 1, pp. 13-26, (1985)