Most methods for generating Euler diagrams describe the detection of the general structure of the final draw as the first and most important step. This information is often depi...
Nearly all Multi-Objective Evolutionary Algorithms (MOEA) rely on random generation of initial population. In large and complex search spaces, this random method often leads to an ...
— We introduce a hierarchical variant of the probabilistic roadmap method for motion planning. By recursively refining an initially sparse sampling in neighborhoods of the C-obs...
The objective of this work is to investigate how effective smart materials are for generating the motion of a robot. Because of the unique method of locomotion, an evolutionary alg...
This paper addresses the issue of developing a motion planning algorithm for a general class of modular mobile robots. A modular mobile robot is essentially a reconfigurable robo...