Grasping objects with limited or no prior knowledge about them is a highly relevant skill in
assistive robotics. Still, in this general setting, it has remained an open problem, especially …

Dexterous grasping of a novel object given a single view is an open problem. This paper
makes several contributions to its solution. First, we present a simulator for generating and …

Hand-eye calibration, as a fundamental task in vision-based robotic systems, aims to
estimate the transformation matrix between the coordinate frame of the camera and the robot …

The paper presents a simple, yet robust computer vision system for robot arm tracking with
the use of RGB-D cameras. Tracking means to measure in real time the robot state given by …

In the field of human-robot interaction, robot collision avoidance with the human in a shared
workspace remains a challenge. Many researchers use visual methods to detect the …

This paper addresses the problem of estimating the configuration of robots with no
proprioceptive sensors and with kinematic constraints while performing tasks. Our work is …

As production workspaces become more mobile and dynamic it becomes increasingly
important to reliably monitor the overall state of the environment. Therein manipulators or …

Despite enormous remote handling requirements, remarkably very few robots are being
used by the nuclear industry. Most of the remote handling tasks are still performed manually …

In this paper, we study the problem of 3D shape upright orientation estimation from the
perspective of reinforcement learning, ie we teach a machine (agent) to orientate 3D shapes …

Aerial manipulators are unmanned aerial vehicles (UAVs) coupled with robotic manipulators
(RMs). Their ability to interact with the environment and perform service and maintenance …