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Tasks sequencing for visual servoing

Conference Paper Accepted Paper Artificial Intelligence · Robotics

Abstract

Classical visual servoing approaches tend to constrain all degrees of freedom (DOF) of the robot during a task's execution. In this article a new approach is proposed. The key idea is to control the robot with a very under-constrained task when it is far of the desired position, and to incrementally constrain the global task by adding further tasks as the robot moves closer to the goal. A method is first proposed that stacks elementary tasks until the robot is fully constrained. To insure the continuity of the articular velocities when adding constraints, a new control law is then proposed. Experiments that prove the interest of the approach are also provided.

Authors

Keywords

  • Visual servoing
  • Robot control
  • Path planning
  • Trajectory
  • Velocity control
  • Motion control
  • Robot motion
  • Noise robustness
  • Image processing
  • Robot vision systems
  • Degrees Of Freedom
  • Task Force
  • Optimal Control
  • Global Task
  • Center Of Mass
  • Visual Features
  • Variety Of Tasks
  • Optical Axis
  • Image Point
  • Projection Operator
  • First-order Differential Equations
  • Order Moments
  • Order Differential Equation
  • Transient Time
  • Second-order Moments
  • Camera Field Of View
  • Non-homogeneous Equation

Context

Venue
IEEE/RSJ International Conference on Intelligent Robots and Systems
Archive span
1988-2025
Indexed papers
26578
Paper id
364537367457742628
v2026.09.13