The accuracy of learning-based optical flow estimation models heavily relies on the realism
of the training datasets. Current approaches for generating such datasets either employ …

Objective skill assessment-based personal performance feedback is a vital part of surgical
training. Either kinematic—acquired through surgical robotic systems, mounted sensors on …

Autonomous professional cleaning robots are ubiquitous today, coexist with humans, and
the demand continues to improve hygiene and productivity, especially in large indoor …

Grasping and object manipulation have been considered key domains of Cyber-Physical
Systems (CPS) since the beginning of automation, as they are the most common interactions …

The robotics field has been deeply influenced by the advent of deep learning. In recent
years, this trend has been characterized by the adoption of large, pretrained models for …

Objective skill assessment based personal feedback is a vital part of surgical training.
Automated assessment solutions aim to replace traditional manual (experts' opinion-based) …

Soft tissue interaction and grasping is a widely researched field, nevertheless, autonomous
robotics is a relatively new domain in delicate meat processing. The inner organs of animals …

The recent end of the coronavirus epidemic has raised awareness of the importance of
environmental hygiene. There are a number of ways in which the environment can be …

In this work, we present a method for camera-based object tracking and automated robotic
sensing platform navigation towards the target, on a robot with an embedded controller with …

Programmable analog circuits are known in some analog application environments. These
applications are basically about using a binary string to configure the analog electronic …