Outputs (6)

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.