the large amount of computation necessary for obtaining time optimal solution for moving a manipulator on specified path has made it impossible to introduce an on line time optimal control algorithm. most of this computational burden is due to calculation of switching points. in this paper a learning algorithm is proposed for finding the switching points. the method, which can be used for both ...

This paper addresses the problem of optimizing the navigation of an intelligent mobile in a real world enviroanment described by a map The map is composed of features representing natural landmarks in the environment. The vehicle is equipped with a sensor which allows it to obtain range and bearing measurements from observed landmarks durinq the execution. These measurements are correlated with...

We propose a model for path-planning based on single performance metric that accurately accounts the potential (spatially inhomogeneous) cost of breakdowns and repairs. These random happen at known (also spatially rate can be one two types: total, which halt all movement until an in-place repair is completed, or partial, after continues in damaged state. use framework piecewise-deterministic Ma...

in present paper, a point to point optimal path is planned for a mobile manipulator with flexible links and joints. for this purpose, a perfect dynamic modeling is performed for mobile manipulators considering large deformation in links, shear effects, elastic joints, effect of gravitation, and non-holonomic constraints. to study large deformation of links, non-linear relation of displacement-s...

in this paper we introduce an improvement in the path planning algorithm for the humanoid soccer playing robot which uses ferguson splines and pso (particle swarm optimization). the objective of the algorithm is to find a path through other playing robots to the ball, which should be as short as possible and also safe enough. ferguson splines create preliminary paths using random generated para...