2025
Corrections to "Learning the Inverse Hitting Problem"
RA-L 2025
The author list in [1] is updated by adding André Schakkal, due to his contribution to the work.
6 accepted papers
The author list in [1] is updated by adding André Schakkal, due to his contribution to the work.
This paper builds up the skill of impact aware non prehensile manipulation through a hitting motion of a redundant robot arm by allowing it to come in contact with the environment with the appropriate link according to the requirements of the hitting task. In tasks where directional effective inerti
This letter presents a data collection framework and a learning model to understand the motion of an object after being subject to an impulse. The data collection framework consists of an automated dual arm setup hitting an object to each other, like a collaborative air-hockey game. An impact aware
One can estimate the velocity and acceleration of robot manipulators by utilizing nonlinear observers. This involves combining inertial measurement units (IMUs) with the motor encoders of the robot through a model-based sensor fusion technique. This approach is lightweight, versatile (suitable for a…
This paper proposes a manipulation scheme based on learning the motion of objects after being hit by a robotic end-effector. This allows for the object to be positioned at a desired location outside the physical workspace of the robot. An estimate of the object dynamics under friction and collisions…
PaintCopter is an autonomous unmanned aerial vehicle (UAV) capable of spray painting on complex three-dimensional (3D) surfaces. This letter aims to make PaintCopter more user-friendly and to enable more intuitive human–robot interaction. We propose a virtual reality interface that allows the user t