Learning to plan for robots using generalized representations

Purpose – Robots operating in the real world should be able to make decisions and plan ahead their actions. We argue that learning using generalized representations of the robot’s experience can assist such a ability. Design/methodology/approach – We present results from our research on methods for enabling mobile robots to plan their actions using… (More)