Journal

KM Talks — Probabilistic Human Intent Recognition

At the United Kingdom National Nuclear Laboratory (KM Talks series) I presented our probabilistic framework for recognising operator intent during mobile manipulation. The talk focused on how dual-phase inference lets robots anticipate navigational goals and manipulation targets fast enough for collaborative tasks in hazardous settings.

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Human-Robot Crack Detection in Concrete

Can an image detector help a person inspect a surface more effectively through a mobile robot’s camera? This study evaluates that human–robot team, rather than treating detector accuracy alone as the outcome. Nuclear inspection motivates the work, but the experiment takes place in a laboratory arena with printed examples of cracked and uncracked concrete.

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Vision-Language Models for Intent-Aware Assistance

A robot can observe an operator moving towards an object without knowing why that object matters. This extended abstract proposes adding vision-language reasoning to GUIDER so that a mission expressed in ordinary language can influence the robot’s interpretation of motion and scene geometry.

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Mini-Review of Variable Autonomy for Mobile Manipulation

A mobile manipulator has to travel through an environment and then interact with it. Asking a person to control every base and arm movement can be demanding, but handing everything to autonomy can fail when the environment or task becomes uncertain. This mini-review examines how variable autonomy distributes that responsibility between a human and a robot.

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Automating EIS Testing with Shared-Control Robotics

Electrochemical impedance spectroscopy can reveal aspects of battery behaviour that a single voltage reading cannot, but reliable measurements still depend on making repeatable electrical contact. This paper develops a shared-control robotic workflow for positioning measurement tooling on electric-vehicle battery modules, combining programmed motion with operator-guided final alignment.

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Technoeconomic Assessment of EV Battery Disassembly

A disassembly operation can be technically impressive without being economically worthwhile. This study connects the physical steps needed to dismantle an electric-vehicle battery with the time, labour and equipment assumptions that determine whether robotics adds value, using a Mitsubishi Outlander PHEV battery pack as its case study.

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Mixed Reality to Guide Semi-Autonomous Battery Disassembly

Semi-autonomous robotic disassembly is not only a question of making an arm move correctly: the operator must also understand what the robot sees, what it intends to do and when intervention is needed. SARDiM brings perception, assisted manipulation and mixed-reality visualisation into the same battery-disassembly framework, while evaluating control assistance separately from the choice of display.

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Multi-Robot Task Planning for EV Battery Disassembly

Two robots do not automatically dismantle a battery twice as quickly as one. They need to agree on which parts are available, respect the order imposed by the assembly, and avoid obstructing each other; this paper investigates that coordination problem in a ROS/Gazebo battery-disassembly simulation.

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