3 accepted papers
Learning how to perform precise and controlled gestures is difficult, especially when feedback about made errors is sparse. Therefore, some works try to facilitate learning by providing virtual "coaches". Most of them propose to automatically score task quality. But simply assessing quality through…
Recently, several deep learning models have been proposed for 3D human pose estimation. Nevertheless, most of these approaches only focus on the single-person case or estimate 3D pose of a few people at high resolution. Furthermore, many applications such as autonomous driving or crowd analysis requ…
Scanning Electron Microscopy (SEM) is an ideal observation tool for small scales robotics. It has the potential to achieve automated nano-robotic tasks such as nano-handling and nano-assembly. Path following control of nano-robot end effectors using SEM vision feedback is a key for an intuitive prog…