in this paper we present a new method for tool-path generation and adaptive interpolation for a three-axis cnc milling machine. this method satisfied the force and / or the error conditions by using a variable-direction variable-feedrate strategy based on maximum feedrate map. the proposed adaptive interpolator modifies the cutting path and the moving direction according to the actual instantan...

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 ...

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...

While the current part carries the title “path planning” the contributions in this section covers two topics: mapping and planning. In some sense one might argues that intelligent (autonomous) mapping actually requires path planning. While this is correct the contributions actually have a broader scope as is outlined below. A common theme to all of the presentations in this section is the adopt...

The era of robotics-based environmental monitoring has given rise to many interesting areas research. A key challenge is that robotic platforms and their operations are typically constrained in ways limit energy, time, or travel distance, which turn limits the number measurements can be collected. Therefore, paths need planned maximize information gathered about an unknown environment while sat...