ToF cameras are now a mature technology that is widely being adopted to provide sensory
input to robotic applications. Depending on the nature of the objects to be perceived and the …

Humanoid robotic assistants need capable and comprehensive perception systems that
enable them to perform complex manipulation and grasping tasks. This requires the …

Like humans, robots that need semantic perception and accurate estimation of the
environment can increase their knowledge through active interaction with objects. This …

This technical report reviews the state-of-the art in the field of ToF cameras, their
advantages, their limitations, and their present-day applications sometimes in combination …

Building knowledge for robots can be tedious, especially if focused on object class
recognition in home environments where hundreds of everyday-objects-some with a huge …

This dissertation entitled" Calibration and Multipath Mitigation for Increased Ac-curacy of
Time-of-Flight Camera Measurements in Robotic Applications" discusses the systematic …

A new approach enabling a mobile robot to recognize and classify furniture-like objects
composed of assembled parts using a Microsoft Kinect is presented. Starting from …

This paper proposes an object classification framework based on a geometric grammar
aimed for mobile robotic applications. The paper first discusses the geometric grammar as a …

This paper proposes an incremental object classification based on parts detected in a
sequence of noisy range images. Primitive parts are jointly tracked and detected as …

In the growing interest about robot ontologies, the role of description logics (DL) used to
query the ontology is often neglected. After discussing the representation problems of using …