Progress has been achieved recently in object detection given advancements in deep
learning. Nevertheless, such tools typically require a large amount of training data and …

Manipulating multiple movable obstacles is a hard problem that involves searching high-
dimensional C-spaces. A milestone method for this problem was able to compute solutions …

The goal of this article is to highlight the benefits of cloud automation for industrial adopters
and some of the research challenges that must be addressed in this process. The focus is on …

Robotic systems composed of several mobile robots moving in human environments pose
several problems at perception, planning and control levels. In these environments, there …

This paper focuses on vision-based pose estimation for multiple rigid objects placed in
clutter, especially in cases involving occlusions and objects resting on each other. Progress …

This work performs an experimental study on the legibility of paths executed by a
manipulation arm available on a Baxter robot. In this context, legibility is defined as the …

Sampling-based algorithms provide efficient solutions to high-dimensional, geometrically
complex motion planning problems. For these methods asymptotic results are known in …

This paper describes a software infrastructure for developing and composing task and
motion planners. The functionality of motion planners is well defined and they provide a …

Integrated Task and Motion Planning (ITMP) for mobile robots becomes a new trend. Most
existing methods for ITMP either restrict to static environments or lack performance …

This work aims to highlight the benefits of Cloud Automation for industrial adopters and
some of the research challenges that must be addressed in this process. The focus is on the …