Being an emerging technology, robotic manipulation has encountered tremendous
advancements due to technological developments starting from using sensors to artificial …

Deep reinforcement learning (DRL) has recently received a lot of attention due to its better
performance compared to traditional algorithms in mapless navigation tasks. However …

The increasing prevalence of upper and lower extremity (ULE) functional deficiencies
presents a significant challenge, as it restricts individuals' ability to perform daily tasks …

To improve the programming efficiency of automatic assembly system, a novel skill
programming framework based on task learning is proposed for modular assembly system …

Many robotic arms today incorporate machine vision to enhance the task diversity of robotic
arms. In this paper a robotic arm grabbing system based on the camera is introduced. Firstly …

Micro-devices are usually assembled by micro-assembly robot operating multi-manipulators
in a narrow assembly space. To ensure assembly accuracy, manipulators are required to …

The control tasks related to interaction tracking are mainly limited in robot manipulators-
based traditional applications. In this, the desired motivations are specified based on the …

Технологии компьютерного зрения и машинного обучения широко применяются в
различных областях. В промышленных робототехнических системах эти технологии …