The problem of how to arrive at an appropriate 3D-segmentation of a scene remains difficult.
While current state-of-the-art methods continue to gradually improve in benchmark …

Developing robot perception systems for recognizing objects in the real world requires
computer vision algorithms to be carefully scrutinized with respect to the expected operating …

Grasp an object from a stack of objects in real-time is still a challenge in robotics. This
requires the robot to have the ability of both fast object discovery and grasp detection: a …

Segmentation of 3D colored point clouds is a research field with renewed interest thanks to
recent availability of inexpensive consumer RGB-D cameras and its importance as an …

A novel strategy is presented to determine the next-best view for a robot arm, equipped with
a depth camera in eye-in-hand configuration, which is oriented to autonomous exploration of …

RGB-D video segmentation is important for many applications, including scene
understanding, object tracking, and robotic grasping. However, to segment RGB-D frames …

The idea that connected convex surfaces, separated by concave boundaries, play an
important role for the perception of objects and their decomposition into parts has been …

3D visual attention plays an important role in both human and robotics perception that yet
has to be explored in full detail. However, the majority of computer vision and robotics …

Being able to quickly and naturally teach robots new knowledge is critical for many future
open-world human-robot interaction scenarios. In this paper we present a novel approach to …

The autonomous and precise grasping operation of robots is considered challenging in
situations where there are different objects with different shapes and postures. In this study …