INTELLIGENT ROBOTIC PATH FINDING METHODOLOGIES WITH FUZZY/CRISP ENTROPIES AND LEARNING
Changman Son · International Journal of Robotics and Automation · 2011
Two intelligent path finding algorithms with fuzzy and crisp entropies and learning, using a robotic part bringing task as an example, to bring a part from an initial position to a target (assemblyhole) for a purpose of a part mating in a partially unknown environment containing obstacles are introduced.