Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
Oneapproachto measuringthe performanceof intelligent systemsis to developstandardizedor reproducibletests. Thesetests maybe in a simulatedenvironmentor in a physical test course.T...
We have developed a model-based, distributed architecture that integrates diverse components in a system designed for lunar and planetary surface operations: an astronaut’s spac...
William J. Clancey, Maarten Sierhuis, Charis Kaski...
Autonomous robots need to track objects. Object tracking relies on predefined robot motion and sensory models. Tracking is particularly challenging if the robots can actuate on th...
Abstract. This paper presents a method for engineering and programming multirobot systems, based on a combination of statecharts and hybrid automata, which are well-known in the fi...