3 accepted papers
Visual servoing, i.e. control with visual information, is a valuable capability in many robotic applications. In particular, position based visual servoing (PBVS) estimates position information from the observed image to generate visual servo control. However, the estimation of the position of an un…
This paper presents an approach to learn and generalize robotic skills from a demonstration using deep reinforcement learning (deep RL). Dynamic Movement Primitives (DMPs) formulate a nonlinear differential equation and produce the observed movement from a demonstration. However, it is hard to gener…
This paper describes a vision-based target tracking method for a skid-steer vehicle. With the development of deep reinforcement learning, many researchers have tried to generate an end-to-end policy to control the mobile robot from a raw pixel image data. However, the action in most research only co…