Outputs (17)

A vision-guided deep learning framework for dexterous robotic grasping using Gaussian processes and transformers (2025)
Journal Article

Robotic manipulation of objects with diverse shapes, sizes, and properties, especially deformable ones, remains a significant challenge in automation, necessitating human-like dexterity through the integration of perception, learning, and control. Th... Read More about A vision-guided deep learning framework for dexterous robotic grasping using Gaussian processes and transformers.

Customisation’s impact on strengthening affective bonds and decision-making with socially assistive robots (2024)
Journal Article

This study aims to fill a gap in understanding how customising robots can affect how humans interact with them, specifically regarding human decision-making and robot perception. The study focused on the robot’s ability to persuade participants to fo... Read More about Customisation’s impact on strengthening affective bonds and decision-making with socially assistive robots.

On the relationship between benchmarking, standards and certification in robotics and AI (2024)
Book Chapter

Benchmarking, standards and certification are closely related processes. Standards can provide normative requirements that robotics and AI systems may or may not conform to. Certification generally relies upon conformance with one or more standards a... Read More about On the relationship between benchmarking, standards and certification in robotics and AI.

The confluence of Industry 4.0 and construction occupational safety, health and well-being (2023)
Book Chapter

Globally, the construction sector accounts for more than100,000 occupational fatalities annually. There is an urgent need to improve the poor occupational safety, health and well-being (OSHW) outlook of the construction sector. The advent of the four... Read More about The confluence of Industry 4.0 and construction occupational safety, health and well-being.

Achieving goals using reward shaping and curriculum learning (2023)
Presentation / Conference Contribution

Real-time control for robotics is a popular research area in the reinforcement learning community. Through the use of techniques such as reward shaping, researchers have managed to train online agents across a multitude of domains. Despite these adva... Read More about Achieving goals using reward shaping and curriculum learning.

Ethical assessment of a hospital disinfection robot (2023)
Presentation / Conference Contribution

Robots have the potential to deliver very positive impacts for society, however, it's critical that in preparing for real-world deployments, we recognize and take steps to mitigate against the potential harms, both direct and indirect, that they may... Read More about Ethical assessment of a hospital disinfection robot.

Development of novel solutions for robotic 3D ceramic paste printing (2023)
Presentation / Conference Contribution

3D printing with polymer-based mediums is ubiquitous in many sectors with a broad range of technologies maturing and providing a very good level choice both in terms of cost and quality. However, with the ceramic medium some challenges still remain t... Read More about Development of novel solutions for robotic 3D ceramic paste printing.

Handbook of Construction Safety, Health and Well-being in the Industry 4.0 Era (2023)
Book

This Handbook seeks to examine and advance current understanding of the confluence of construction health, safety and well-being and the broad range of Industry 4.0 technologies in use in the architecture, engineering and construction (AEC) industry.... Read More about Handbook of Construction Safety, Health and Well-being in the Industry 4.0 Era.

Hear here: Sonification as a design strategy for robot teleoperation using virtual reality (2023)
Presentation / Conference Contribution

This paper introduces a novel methodology for the sonification of data, and shares the results of a usability study, putting the method- ology into practice within an industrial use case. Working with partners at Sellafield nuclear facility, we explo... Read More about Hear here: Sonification as a design strategy for robot teleoperation using virtual reality.

Haptic teleoperation goes wireless: Evaluation and benchmarking of a high-performance low-power wireless control technology (2022)
Presentation / Conference Contribution

Communication delays and packet losses are commonly investigated issues in the area of robotic teleoperation. This paper investigates application of a novel low-power wireless control technology (GALLOP) in a haptic teleoperation scenario developed t... Read More about Haptic teleoperation goes wireless: Evaluation and benchmarking of a high-performance low-power wireless control technology.

Open-source re-configurable interfacing of Tobii Pro Glasses 2 with ROS2 (2022)
Presentation / Conference Contribution

Gaze tracking is a powerful assistive tool enabling people with severe disabilities to interact with complex systems intuitively. Among these, screen-based gaze-control is one of the main input tools used with people with severe mobility impairments,... Read More about Open-source re-configurable interfacing of Tobii Pro Glasses 2 with ROS2.

Do Ho Suh Exibition in New York (2022)
Exhibition / Performance

Output from the collaboration with the international artist Do Ho Suh. Quote: "The presentation opens with Inverted Monument (2022), a large-scale sculpture made of extruded thermoplastic polyester developed as part of an ongoing research project wit... Read More about Do Ho Suh Exibition in New York.

Developing concept system for robotics open heart surgery (2022)
Digital Artefact

Research interests in the healthcare field have for some time been growing within CFPR. A connection with Dr Muhammad Bilal from UWE’s Big Data Enterprise and Artificial Intelligence Lab is, in particular, developing some promising healthcare researc... Read More about Developing concept system for robotics open heart surgery.

Integrating spiking neural networks and deep learning algorithms on the neurorobotics platform (2022)
Presentation / Conference Contribution

We present a neurorobotic model that can associate self motion (odometry) with vision to correct for drift in a spiking neural network model of head direction based closely on known rodent neurophys-iology. We use a deep predictive coding network to... Read More about Integrating spiking neural networks and deep learning algorithms on the neurorobotics platform.

A spiking neural network model of rodent head direction calibrated with landmark free learning (2022)
Journal Article

Maintaining a stable estimate of head direction requires both self-motion (idiothetic) information and environmental (allothetic) anchoring. In unfamiliar or dark environments idiothetic drive can maintain a rough estimate of heading but is subject t... Read More about A spiking neural network model of rodent head direction calibrated with landmark free learning.

Online hazard analysis for autonomous robots (2011)
Presentation / Conference Contribution

Robotic systems require rigorous analysis at all stages of development to ensure system safety. The manufacturing industry has developed many of the robotic design methods used today. These methods were adapted from design practices taken from other... Read More about Online hazard analysis for autonomous robots.

Direct Lyapunov design - A synthesis procedure for motor schema using a second-order Lyapunov stability theorem (2002)
Presentation / Conference Contribution

In this paper we propose a new procedure for construction of motor schema typically used in behaviour-based robotics. The procedure reverses the standard stability analysis approach by searching for a
control function to fit a pre-defined Lyapunov f... Read More about Direct Lyapunov design - A synthesis procedure for motor schema using a second-order Lyapunov stability theorem.