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2025
This paper presents a comprehensive user study aimed as assessing and differentiating operator expertise within bilateral teleoperation systems. The primary objective is to identify key performance metrics that effectively distinguish novice from expert users. Unlike prior approaches that focus primarily on psychological evaluations, this study emp…
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2025
Nuclear environments demand exceptional precision, reliability, and safety, given the high stakes involved in handling radioactive materials and maintaining reactor systems. Object-oriented assembly and disassembly operations in nuclear applications represent a cutting-edge approach to managing complex, high-stakes operations with enhanced precisio…
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UKAEA-RACE-CP(26)032024
The primary objective of this work is to research, design, and draft an open standard for nuclear robotics, aiming to standardise the design, development, integration, interoperability, and overall through life capability management of technologies, devices, and platforms for robotic systems used in nuclear fusion and decommissioning operations.…
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2024
This paper presents a detailed user study aimed at experimentally comparing the experience levels within bilateral teleoperation. The primary objective is to elucidate the key performance metrics that can effectively evaluate the competency level of human operators. Existing methodologies typically focus on the quantitative psychological evaluatio…
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UKAEA-RACE-CP(26)022023
When using mobile robots to perform data collection about the surroundings, the performance might be dissatisfying since the environments could be unknown and challenging. This situation will pose challenges for mobile robot navigation and exploration. To tackle this issue, we propose a consensus-based deep reinforcement learning (DRL) algorithm…
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UKAEA-RACE-CP(23)122023
Fukushima Daiichi decommissioning is a long-term engineering challenge, of which advanced control techniques are essentially demanded. In the past ten years, the success in various decommissioning operations demonstrates the importance of elaborating state-of-the-art control and automation technologies. However, there are still various control engi…
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UKAEA-RACE-CP(23)102023
In the nuclear industry, the need for improved reliability in current and future technology hinders the deployment of autonomous robotic systems. The following research aims to develop a method of reliably mapping a large environment and abstracting the map into a sparse node graph to create a more efficient data form. The proposed data form all…
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UKAEA-RACE-CP(23)082023
Many complex domains would benefit from the services of Large-scale, Safety-verified, Always-on (LSA) robotic systems. However, existing large-scale solutions often forego the complex reasoning required for safety verification and prescient reasoning in favour of scalability. We propose a method of partitioning the task domain to enable scalabil…
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UKAEA-RACE-PR(22)062022
The maturation of Virtual Reality software introduces new avenues of nuclear decommissioning research. Digital Mockups are an emerging technology which provide a virtual representation of the environment, objects or processes, supporting the whole lifecycle of product development and operations. This paper provides a survey on currently available …
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UKAEA-RACE-PR(22)022022
In robotic teleoperation, the knowledge of the state of the remote environment in real-time is a paramount. Advances in the development of highly accurate 3D cameras able to provide high quality point clouds appear to be a feasible solution for generating live, up-to-date virtual environments. Unfortunately, the exceptional accuracy and high densit…
Showing 1 - 10 of 15 UKAEA Paper Results