Add to ORKGWe present a system for robust robot skill acquisition from kinesthetic demonstrations. This system allows a robot to learn a simple goal-directed gesture, and correctly reproduce it despite changes in the initial conditions, and perturbations in the environment. It combines a dynamical system control approach with tools of statistical learning theory and provides a solution to the inverse kinematics problem, when dealing with a redundant manipulator. The system is validated on two experiments involving a humanoid robot: putting an object into a box, and reaching for and grasping an object
Over the last decades, Learning from Demonstration (LfD) has become a widely accepted solution for t...
Abstract—In this paper, we investigate the problem of gener-ating trajectories from demonstration an...
In the last decades robots are expected to be of increasing intelligence to deal with a large range ...
We present a system for robust robot skill acquisition from kinesthetic demonstrations. This system ...
Learning skills from kinesthetic demonstrations is a promising way of minimizing the gap between hum...
Learning skills from kinesthetic demonstrations is a promising way of minimizing the gap between hum...
A system for learning and executing gestures in a humanoid robot has been developed and implemented ...
A system for learning and executing gestures in a humanoid robot has been developed and implemented ...
Robot learning from demonstration is a method which enables robots to learn in a similar way as huma...
Abstract In this paper we combine kinesthetic demonstra-tions and dynamical systems to enable a hum...
In robotics, there is a need of an interactive and expedite learning method as experience is expensi...
Programming a robot to complete a task in 3D space has become too complicated. Therefore an alternat...
Abstract. Programming of complex motor skills for humanoid robots can be a time intensive task, part...
If a non-expert wants to program a robot manipulator he needs a natural interface that does not requ...
If a non-expert wants to program a robot manipulator he needs a natural interface that does not requ...
Over the last decades, Learning from Demonstration (LfD) has become a widely accepted solution for t...
Abstract—In this paper, we investigate the problem of gener-ating trajectories from demonstration an...
In the last decades robots are expected to be of increasing intelligence to deal with a large range ...
We present a system for robust robot skill acquisition from kinesthetic demonstrations. This system ...
Learning skills from kinesthetic demonstrations is a promising way of minimizing the gap between hum...
Learning skills from kinesthetic demonstrations is a promising way of minimizing the gap between hum...
A system for learning and executing gestures in a humanoid robot has been developed and implemented ...
A system for learning and executing gestures in a humanoid robot has been developed and implemented ...
Robot learning from demonstration is a method which enables robots to learn in a similar way as huma...
Abstract In this paper we combine kinesthetic demonstra-tions and dynamical systems to enable a hum...
In robotics, there is a need of an interactive and expedite learning method as experience is expensi...
Programming a robot to complete a task in 3D space has become too complicated. Therefore an alternat...
Abstract. Programming of complex motor skills for humanoid robots can be a time intensive task, part...
If a non-expert wants to program a robot manipulator he needs a natural interface that does not requ...
If a non-expert wants to program a robot manipulator he needs a natural interface that does not requ...
Over the last decades, Learning from Demonstration (LfD) has become a widely accepted solution for t...
Abstract—In this paper, we investigate the problem of gener-ating trajectories from demonstration an...
In the last decades robots are expected to be of increasing intelligence to deal with a large range ...