Task Sequencing for High-Level Sensor-Based Control

Classical sensor-based approaches tend to constrain all the degrees of freedom of a robot during the execution of a task. In this paper, a new solution is proposed. The key idea is to divide the global full-constraining task into several subtasks, which can be applied or inactivated to take into account potential constraints of the environment. Far from any constraint, the robot moves according to the full task. When it comes closer to a configuration to avoid, a higher level controller removes one or several subtasks, and activates them again when the constraint is avoided. The last controller ensures the convergence at the global level by introducing some look-ahead capabilities when a local minimum is reached. The robot accomplishes the global task by automatically sequencing sensor-based tasks, obstacle avoidance, and short deliberative phases. In this paper, a complete solution to implement this idea is proposed, along with several experiments that prove the validity of this approach

[1]  Rajiv V. Dubey,et al.  A weighted least-norm solution based scheme for avoiding joint limits for redundant manipulators , 1993, [1993] Proceedings IEEE International Conference on Robotics and Automation.

[2]  Nicolas Mansard,et al.  Tasks sequencing for visual servoing , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[3]  Éric Marchand,et al.  A redundancy-based iterative approach for avoiding joint limits: application to visual servoing , 2001, IEEE Trans. Robotics Autom..

[4]  Jean-Paul Laumond,et al.  Dynamic path modification for car-like nonholonomic mobile robots , 1997, Proceedings of International Conference on Robotics and Automation.

[5]  Jean-Jacques E. Slotine,et al.  A general framework for managing multiple tasks in highly redundant robotic systems , 1991, Fifth International Conference on Advanced Robotics 'Robots in Unstructured Environments.

[6]  Jean-Claude Latombe,et al.  Numerical potential field techniques for robot path planning , 1991, Fifth International Conference on Advanced Robotics 'Robots in Unstructured Environments.

[7]  Oussama Khatib,et al.  Control of Free-Floating Humanoid Robots Through Task Prioritization , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[8]  O. Brock,et al.  Elastic Strips: A Framework for Motion Generation in Human Environments , 2002, Int. J. Robotics Res..

[9]  Ian D. Walker,et al.  Robot subtask performance with singularity robustness using optimal damped least-squares , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[10]  Oussama Khatib,et al.  Elastic bands: connecting path planning and control , 1993, [1993] Proceedings IEEE International Conference on Robotics and Automation.

[11]  Patrick Rives,et al.  A new approach to visual servoing in robotics , 1992, IEEE Trans. Robotics Autom..

[12]  François Chaumette,et al.  Potential problems of stability and convergence in image-based and position-based visual servoing , 1997 .

[13]  Eiichi Yoshida.  Humanoid motion planning using multi-level DOF exploitation based on randomized method , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[14]  Bo Gao,et al.  A robust vision-based controller for mobile robots navigation: application to the task sequencing problem , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[15]  Florent Lamiraux,et al.  Reactive path deformation for nonholonomic mobile robots , 2004, IEEE Transactions on Robotics.

[16]  Anthony A. Maciejewski,et al.  Numerical filtering for the operation of robotic manipulators through kinematically singular configurations , 1988, J. Field Robotics.

[17]  Rajiv V. Dubey,et al.  A weighted least-norm solution based scheme for avoiding joint limits for redundant joint manipulators , 1993, IEEE Trans. Robotics Autom..

[18]  Junku Yuh,et al.  A real-time approach for singularity avoidance in resolved motion rate control of robotic manipulators , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[19]  Domenico Prattichizzo,et al.  A switching control law for keeping features in the field of view in eye-in-hand visual servoing , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[20]  Steven M. LaValle,et al.  Randomized Kinodynamic Planning , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[21]  J. B. Rosen.  The Gradient Projection Method for Nonlinear Programming. Part I. Linear Constraints , 1960 .

[22]  Lars Petersson,et al.  High-level control of a mobile manipulator for door opening , 2000, Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113).

[23]  Nicolas Mansard,et al.  Visual Servoing Sequencing Able to Avoid Obstacles , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[24]  Claude Samson,et al.  Robot Control: The Task Function Approach , 1991 .

[25]  Philippe Souères,et al.  Dynamical sequence of multi-sensor based tasks for mobile robots navigation , 2003 .

[26]  François Chaumette,et al.  Path planning for robust image-based control , 2002, IEEE Trans. Robotics Autom..

[27]  Ronan Boulic,et al.  An inverse kinematics architecture enforcing an arbitrary number of strict priority levels , 2004, The Visual Computer.

[28]  Francois Chaumette,et al.  Potential problems of unstability and divergence in image-based and position-based visual servoing , 1999, 1999 European Control Conference (ECC).

[29]  Gregory D. Hager,et al.  Dynamic sensor planning in visual servoing , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[30]  Pradeep K. Khosla,et al.  Strategies for Increasing the Tracking Region of an Eye-in-Hand System by Singularity and Joint Limit Avoidance , 1995, Int. J. Robotics Res..

[31]  Daniel E. Koditschek,et al.  Visual servoing via navigation functions , 2002, IEEE Trans. Robotics Autom..

[32]  A. Liegeois,et al.  Automatic supervisory control of the configuration and behavior of multi-body mechanisms , 1977 .

[33]  Oussama Khatib,et al.  Real-Time Obstacle Avoidance for Manipulators and Mobile Robots , 1985, Autonomous Robot Vehicles.

[34]  Nicholas R. Gans,et al.  An experimental study of hybrid switched system approaches to visual servoing , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[35]  Patrick Rives,et al.  Applying visual servoing techniques to control a mobile hand-eye system , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[36]  François Chaumette,et al.  Point-based and region-based image moments for visual servoing of planar objects , 2005, IEEE Transactions on Robotics.

[37]  A. A. Maciejewski,et al.  Obstacle Avoidance , 2005 .

[38]  Peter I. Corke,et al.  A tutorial on visual servo control , 1996, IEEE Trans. Robotics Autom..

[39]  Stefano Chiaverini,et al.  Singularity-robust task-priority redundancy resolution for real-time kinematic control of robot manipulators , 1997, IEEE Trans. Robotics Autom..

[40]  E. Malis,et al.  2 1/2 D Visual Servoing , 1999 .

[41]  Charles A. Klein,et al.  Optimal force distribution for the legs of a walking machine with friction cone constraints , 1990, IEEE Trans. Robotics Autom..

[42]  Éric Marchand,et al.  A new redundancy-based iterative scheme for avoiding joint limits. Application to visual servoing , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).