A task-priority based framework for multiple tasks in highly redundant robots

A task-priority based framework for multiple tasks of highly redundant robots was derived using the Lagrangian multiplier method. The framework was proved to prioritize a generic number of tasks without algorithmic problems - so called an algorithmic singularity and an algorithmic error. The computational efficiency of the framework excels other conventional task-priority strategies. The efficiency and efficacy of the framework was demonstrated theoretically and experimentally through comparative study.

[1]  Jun Nakanishi,et al.  Task space control with prioritization for balance and locomotion , 2007 .

[2]  Oussama Khatib,et al.  A Unified Framework for Whole-Body Humanoid Robot Control with Multiple Constraints and Contacts , 2008, EUROS.

[3]  John Baillieul,et al.  Kinematic programming alternatives for redundant manipulators , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[4]  Robert H. Halstead,et al.  Matrix Computations , 2011, Encyclopedia of Parallel Computing.

[5]  T. Yoshikawa,et al.  Task-Priority Based Redundancy Control of Robot Manipulators , 1987 .

[6]  Yoshihiko Nakamura,et al.  Advanced robotics - redundancy and optimization , 1990 .

[7]  Masaru Uchiyama,et al.  Singularity-Consistent Parameterization of Robot Motion and Control , 2000, Int. J. Robotics Res..

[8]  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.

[9]  Charles W. Wampler,et al.  Manipulator Inverse Kinematic Solutions Based on Vector Formulations and Damped Least-Squares Methods , 1986, IEEE Transactions on Systems, Man, and Cybernetics.

[10]  Pyung Chang.  A closed-form solution for inverse kinematics of robot manipulators with redundancy , 1987, IEEE Journal on Robotics and Automation.

[11]  Gianluca Antonelli,et al.  Stability analysis for prioritized closed-loop inverse kinematic algorithms for redundant robotic systems , 2008, 2008 IEEE International Conference on Robotics and Automation.

[12]  Yoshihiko Nakamura,et al.  Inverse kinematic solutions with singularity robustness for robot manipulator control , 1986 .

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

[14]  Ronan Boulic,et al.  Task-priority formulations for the kinematic control of highly redundant articulated structures , 1998, Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190).

[15]  Jun Nakanishi,et al.  A unifying framework for robot control with redundant DOFs , 2007, Auton. Robots.

[16]  Jonghoon Park,et al.  Multiple tasks manipulation for a robotic manipulator , 2004, Adv. Robotics.

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

[18]  Gene H. Golub,et al.  Matrix computations (3rd ed.) , 1996 .

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