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UKAEA-RACE-CP(25)012024
It is challenging to find optimum kinematic designs for non-standard robotic manipulators, e.g., medical, nuclear, and space manipulators, which are demanded to adapt to arbitrary complex tasks in constraints. Such design optimization can be modelled as a multi-dimensional non-convex optimization problem with nonlinear constrained conditions. Howev…
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UKAEA-CCFE-PR(25)3172024
Polymers offer a number of properties of interest in robotics design, from the well established such as low weight, electrical and thermal insulation, to the more novel, where their visco-elasticity is of great benefit in designing vine robots and flexible sensors. The more dangerous the environment, for example in cases where high radiation is pre…
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UKAEA-RACE-PR(25)042025
The Vacuum Vessel Pressure Suppression System Remote Handling Equipment (VVPSS RHE) is being developed for remote maintenance of VVPSS components, including the Rupture Disc Assembly (RDA), Bleed Line Valve Assembly (BLVA), Support Trolley and relief lines within the Neutral Beam (NB) cell. It works in conjunction with the Neutral Beam Remote Ha…
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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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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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UKAEA-RACE-PR(25)032024
When using deep reinforcement learning (DRL) to perform multi-robot exploration in unknown environments, the training model may produce actions that lead to unpredictable system behaviours due to the complexity and unpredictability of the surroundings. Therefore, ensuring safe exploration with DRL becomes critical. To tackle this issue, we propo…
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UKAEA-RACE-PR(25)012024
Robotics holds the potential to streamline the execution of repetitive and dangerous tasks, which are difficult or impossible for a human operator. However, in complex scenarios, such as nuclear waste management or disaster response, full automation often proves unfeasible due to the diverse and intricate nature of tasks, coupled with unpredicta…
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UKAEA-RACE-PR(24)042023
Remote handling of breeding blankets poses an unprecedented challenge in future tokamaks like EU-DEMO, where individual blanket segments can weigh upwards of 80 tonnes and extend beyond 10 meters in length. The unparalleled scale of these components, coupled with extremely tight positional tolerances, demands careful consideration of structural …
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UKAEA-RACE-PR(24)052024
In current telerobotics and telemanipulator applications, operators must perform a wide variety of tasks, often with a high risk associated with failure. A system designed to generate data-based behavioural estimations using observed operator features could be used to reduce risks in industrial teleoperation. This paper describes a non-invasive …
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UKAEA-CCFE-PR(24)2342024
There is a rapidly growing demand for robotic RM systems which are able to support future nuclear applications currently in development. This paper covers the testing and verification of radiation hardened electronics via a representative test bench utilising components currently used in irradiated environments relevant to nuclear fission, nucle…
Showing 1 - 10 of 72 UKAEA Paper Results