Trajectory learning is a fundamental component in a robot Programming by Demonstration (PbD)
system, where often the very purpose of the demonstration is to teach complex …

This paper describes a virtual reality based programming by demonstration system for grasp
recognition in manipulation tasks and robot pregrasp planning. The system classifies the …

Underwater object detection and recognition using computer vision are challenging tasks due
to the poor light condition of submerged environments. For intervention missions requiring …

The Programming by Demonstration paradigm promises to reduce the complexity of robot
programming. Its aim is to let robot systems learn new behaviors from a human operator …

Autonomous underwater vehicles are frequently used for survey missions and monitoring
tasks, however, manipulation and intervention tasks are still largely performed with a human in …

A visuo-haptic augmented reality (VHAR) interface is presented enabling an operator to
teleoperate an unmanned aerial vehicle (UAV) equipped with a custom CdZnTe-based …

A method for robot to human object hand-over is presented that takes into account user comfort.
Comfort is addressed by serving the object to facilitate user's convenience. The object is …

Neuro-psychological findings have shown that human perception of objects is based on part
decomposition. Most objects are made of multiple parts which are likely to be the entities …

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 …

In this work we introduce a novel approach for robot grasp planning. The proposed method
combines the benefits of programming by human demonstration for teaching appropriate …