Nettet22. mar. 2024 · Robotic manipulators are widely used in modern manufacturing processes. However, their deployment in unstructured environments remains an open problem. To deal with the variety, complexity, and uncertainty of real-world manipulation tasks, it is essential to develop a flexible framework with reduced assumptions on the environment … Nettet23. mar. 2024 · Robotic manipulators are widely used in modern manufacturing processes. However, their deployment in unstructured environments remains an open problem. To deal with the variety, complexity, and uncertainty of real-world manipulation tasks, it is essential to develop a flexible framework with reduced assumptions on the environment …
Learning to Centralize Dual-Arm Assembly - arxiv.org
Nettet24. feb. 2024 · The authors propose a framework to learn a policy for this task based on … Nettet23. mar. 2024 · As real-world robot learning experiments could be very expensive, we … jodi clifton facebook
Learning to centralize dual-arm assembly - ScioWire Magazine
Nettet24. aug. 2024 · Though peg-in-hole assembly is a common industrial task which has … NettetHence, to avoid modeling the interaction between the two robots and the used assembly tools, we present a modular approach with two decentralized single-arm controllers, which are coupled using a single centralized learned policy. We reduce modeling effort to a minimum by using sparse rewards only. NettetPart of an exciting journal, this section explores computational and human learning mechanisms and applies these findings to improve future intelligent technology. ... Learning to Centralize Dual-Arm Assembly. Marvin Alles; Elie Aljalbout; Frontiers in Robotics and AI. doi 10.3389/frobt.2024.830007. 3,053 views Original Research. jodi coats facebook