— Algorithmic problem reduction is a fundamental approach to problem solving in many fields, including robotics. To solve a problem using this scheme, we must reduce the problem...
— In this paper, navigation and control of autonomous mobile unicycle robots in a complex and partially known obstacleridden environment is considered. The unicycle dynamic model...
In this paper we present the robot programming and planning language Readylog, a Golog dialect which was developed to support the decision making of robots acting in dynamic real-...
— Partially Observable Markov Decision Processes (POMDPs) offer a powerful mathematical framework for making optimal action choices in noisy and/or uncertain environments, in par...
– In this paper, we evaluate the performance of two candidate formulations for distributed motion planning of robot collectives within an Artificial Potential Field (APF) framewo...