This article develops a robotic manipulation planner for human-robot collaborative
assembly. Unlike previous methods that study an independent and fully artificial intelligent …

Although general purpose robotic manipulators are becoming more capable at manipulating
various objects, their ability to manipulate millimeter-scale objects are usually limited. On the …

The Five Hundred Meter Spherical Radio Telescope (FAST) is the largest spherical radio
telescope in the world, and there are more than 2,000 prism targets distributed on its …

The recent availability of powerful (SBC) Single Board Computing devices has facilitated
edge computing, filled a gap with lower power consumption at the edge. Preventive …

Detecting faults in manufacturing applications can be difficult, especially if each fault model
is to be engineered by hand. Data-driven approaches, using Machine Learning (ML) for …

Screwdriving is one of the most prevalent assembly methods, yet its full automation is still
challenging, especially for small screws. A critical reason is that existing techniques perform …

L'objectif de cette thèse est de proposer une nouvelle architecture dédiée à la détection de
défauts dans les procédés de fabrication. Cette dernière repose sur la combinaison des …

Detecting faults in manufacturing applications can be difficult, especially if each fault model
is to be engineered by hand. Datadriven approaches, using Machine Learning (ML) for …