Robot-Assisted Glovebox Teleoperation for Nuclear Industry

Author:

Tokatli OzanORCID,Das PragnaORCID,Nath RadhikaORCID,Pangione LuigiORCID,Altobelli AlessandroORCID,Burroughes GuyORCID,Jonasson Emil T.ORCID,Turner Matthew F.ORCID,Skilton RobertORCID

Abstract

The nuclear industry has some of the most extreme environments in the world, with radiation levels and extremely harsh conditions restraining human access to many facilities. One method for enabling minimal human exposure to hazards under these conditions is through the use of gloveboxes that are sealed volumes with controlled access for performing handling. While gloveboxes allow operators to perform complex handling tasks, they put operators at considerable risk from breaking the confinement and, historically, serious examples including punctured gloves leading to lifetime doses have occurred. To date, robotic systems have had relatively little impact on the industry, even though it is clear that they offer major opportunities for improving productivity and significantly reducing risks to human health. This work presents the challenges of robotic and AI solutions for nuclear gloveboxes, and introduces a step forward for bringing cutting-edge technology to gloveboxes. The problem statement and challenges are highlighted and then an integrated demonstrator is proposed for robotic handling in nuclear gloveboxes for nuclear material handling. The proposed approach spans from tele-manipulation to shared autonomy, computer vision solutions for robotic manipulation to machine learning solutions for condition monitoring.

Funder

UK Research and Innovation

Publisher

MDPI AG

Subject

Artificial Intelligence,Control and Optimization,Mechanical Engineering

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2. Using skeletal position to estimate human error rates in telemanipulator operators;Frontiers in Robotics and AI;2024-01-09

3. A Generic, Affordance-Constrained, Screw-Based Motion Planner for Contact Task Manipulation;2023 IEEE-RAS 22nd International Conference on Humanoid Robots (Humanoids);2023-12-12

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