— We provide a general approach for learning robotic motor skills from human demonstration. To represent an observed movement, a non-linear differential equation is learned such ...
Peter Pastor, Heiko Hoffmann, Tamim Asfour, Stefan...
This paper describes a research project about robot control across a computing Grid, first step toward a Grid solution for generic process control. A computational Grid can signi...
In this paper, we deal with imitation learning of arm movements in humanoid robots. Hidden Markov Models (HMM) are used to generalize movements demonstrated to a robot multiple tim...
— We present an on-line, robust, and efficient path planner for the redundant Mitsubishi PA-10 arm with 7 degrees of freedom (DOF) in non-stationary environments. Because of the...
Stefan Klanke, Dmitry V. Lebedev, Robert Haschke, ...
In this paper we present our bio-mimetic artificial arm and the simulation results on its low level control system. In accordance with the general view of the Biorobotics field w...