Motion planning is a mature area of research in robotics with many well-established
methods based on optimization or sampling the state space, suitable for solving kinematic …

Remote teleoperation has shown significant advancements since the first teleoperation
system was proposed by Goertz in the 1940s. In recent years, the research on shared …

In this article, we propose a metric called hitting flux, which is used in the motion generation
and controls for a robot manipulator to interact with the environment through a hitting or a …

Reinforcement Learning is a promising tool for learning complex policies even in fast-
moving and object-interactive domains where human teleoperation or hard-coded policies …

Integrating learning-based techniques, especially reinforcement learning, into robotics is
promising for solving complex problems in unstructured environments. However, most …

This paper proposes an adapted version of the classic Pong game, tailored for educational
purposes and illustrated with two ground mobile robots and one drone, therefore called …

During certain human-robot collaboration tasks, the operator interacts with the robot by hand
guidance to adjust the end-effector pose for spatial operations. The rotational operation is …

Advances in robot learning have enabled robots to generate skills for a variety of tasks. Yet,
robot learning is typically sample inefficient, struggles to learn from data sources exhibiting …

Low latency and accuracy are fundamental requirements when vision is integrated in robots
for high-speed interaction with targets, since they affect system reliability and stability. In …

Planning robot contact often requires reasoning over a horizon to anticipate outcomes,
making such planning problems computationally expensive. In this letter, we propose a …