Bio-mimetic trajectory generation of robots via artificial potential field with time base generator
- 1 November 2002
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews)
- Vol. 32 (4), 426-439
- https://doi.org/10.1109/tsmcc.2002.807273
Abstract
This paper proposes a new trajectory generation method that allows full control of transient behavior, namely, time-to-target and velocity profile, based on the artificial potential field approach for a real-time robot motion planning problem. Little attention, in fact, has been paid to the temporal aspects of this class of path planning methods. The ability to control the motion time to the target as well as the velocity profile of the generated trajectories, however, is of great interest in real-life applications. In the paper, we argue that such transient behavior should be taken into account within the framework of the artificial potential field approach.Keywords
This publication has 27 references indexed in Scilit:
- Velocity and torque feedback control of a nonholonomic cartPublished by Springer Science and Business Media LLC ,2006
- Artificial potential method for control of constrained robot motionIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 1998
- Optimal obstacle avoidance based on the Hamilton-Jacobi-Bellman equationIEEE Transactions on Robotics and Automation, 1997
- Exponential stabilization of mobile robots with nonholonomic constraintsIEEE Transactions on Automatic Control, 1992
- Real-time obstacle avoidance using harmonic potential functionsIEEE Transactions on Robotics and Automation, 1992
- Task-Priority Based Redundancy Control of Robot ManipulatorsThe International Journal of Robotics Research, 1987
- On time scaling for nonlinear systems: Application to linearizationIEEE Transactions on Automatic Control, 1986
- Real-Time Obstacle Avoidance for Manipulators and Mobile RobotsThe International Journal of Robotics Research, 1986
- Two new methods for computer forming of dynamic equations of active mechanismsMechanism and Machine Theory, 1979
- An Algorithm for Computer Guidance of a Manipulator in Between ObstaclesJournal of Engineering for Industry, 1975