Research and application of reinforcement learning in robotics for contact-rich manipulation
tasks have exploded in recent years. Its ability to cope with unstructured environments and …

Industrial robots are widely deployed to perform pick-and-place tasks at high speeds to
minimize manufacturing time and boost productivity. When dealing with delicate or fragile …

Reinforcement learning (RL) is a popular technique that allows an agent to learn by trial and
error while interacting with a dynamic environment. The traditional Reinforcement Learning …

Remanufacturing automation must be designed to be flexible and robust enough to
overcome the uncertainties, conditions of the products, and complexities in the planning and …

In recent years, robots with higher levels of sophistication in controlling the mechanical
impedance of interaction have received increasing attention. These robots can precisely …

In this study, we aim to realize a precision assembly robot system that can perform all kinds
of tasks without failure. Specifically, we focus on fitting precision parts, which is considered …

Istraživanje u okviru ove doktorske disertacije fokusirano je na razvoj u oblasti tehnologije
robotizovane montaže, sa ciljem da se antropomorfni manipulacioni robotski sistem učini …

Remanufacturing automation must be designed to be flexible and robust enough to
overcome the uncertainties, conditions of the products, and complexities in the planning and …

抄録 Until now, we have proposed a combined control of admittance and impedance
controls which can expand the stable region compared with the traditional admittance, or …