The world was unprepared for the COVID-19 pandemic, and recovery is likely to be a long
process. Robots have long been heralded to take on dangerous, dull, and dirty jobs, often in …

The research community is puzzled with words like skill, action, atomic unit and others when
describing robots' capabilities. However, for giving the possibility to integrate capabilities in …

3D vision systems are more and more required in a large variety of applications and mostly
for mechanical and medical purposes. This paper presents the study and realization of a …

This paper presents a vision-based learning-by-demonstration approach for multi-robot
manipulation. With this method, a vision system is involved in both the task demonstration …

The goal of this research work was to create a prototype of a robotic 3D vision system for
cranial prostheses automatic inspection. The proposed device is able to automatically scan …

Dual-robot collaborative system has shown a significant potential for performing complex
tasks. However, excellent interaction between cooperative manipulator involves a wide …

This paper presents a versatile robotic system for sewing a 3D structured object. Leveraging
on using a customized robotic sewing device and closed-loop visual servoing control, an all …

提出了一种基于高斯混合模型(Gaussian mixturemodel, GMM)-高斯混合回归(Gaussian
mixtureregression, GMR) 的机器人动作学习方法, 以实现机器人对示教缝纫动作的学习 …

For the treatment of abdominal aortic aneurysm, a personalized stent graft is used to ensure
that it fits tightly to the patients vessel geometry. A personalized stent graft is usually …

Many robotic tasks are still teleoperated since automating them is very time consuming and
expensive. Robot Learning from Demonstrations (RLfD) can reduce programming time and …