While learning new motor skills, we often rely on feedback from a trainer. Auditive feedback and demonstrations are used most frequently, but in many domains they are inappropriat...
Daniel Spelmezan, Mareike Jacobs, Anke Hilgers, Ja...
Abstract--For the last decade, we have developed a visionbased architecture for mobile robot navigation. Our bio-inspired model of the navigation has proved to achieve sensory-moto...
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...
Can implicit interaction with a computer easily drive useful interface improvements in physical world settings? This paper presents a case study presenting multiple such context-a...
— We present a new behavior selection system for human-robot interaction that maps virtual buttons overlaid on the physical environment to the robot’s behaviors, thereby creati...
Hai Nguyen, Advait Jain, Cressel D. Anderson, Char...