Outputs (3)

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.

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.