The use of configurable computing for computational kernels in scientific simulations
Future Generation Computer Systems
Motion design and learning of autonomous robots based on primitives and heuristic cost-to-go
Robotics and Autonomous Systems
International Journal of Robotics Research
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
The use of configurable computing for computational kernels in scientific simulations
Future Generation Computer Systems
Real-time navigation for a mobile robot based on the autonomous behavior agent
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
Self-organizing potential field network: a new optimization algorithm
IEEE Transactions on Neural Networks
A Harmonic Potential Approach for Simultaneous Planning and Control of a Generic UAV Platform
Journal of Intelligent and Robotic Systems
Motion planning for climbing robot based on hybrid navigation
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
International Journal of Swarm Intelligence Research
| Hi-index | 0.00 |
Discusses the generation of a control signal that would instruct the actuators of a robotics manipulator to drive motion along a safe and well-behaved path to a desired target. The proposed concept of navigation control along with the tools necessary for its construction achieve this goal. The most significant tool is the artificial vector potential field which shows a better ability to steer motion than does a scalar potential field. The synthesis procedure emphasizes flexibility so that the effort needed to modify the control is commensurate with the change in the geometry of the workspace. Theoretical development along with simulation results are provided