Outputs (6)

Should we get involved? Impact of human collaboration and intervention on multi-robot teams (2025)
Journal Article

Introduction: The challenges encountered in the design of multi-robot teams (MRT) highlight the need for different levels of human involvement, creating human-in-the-loop multi-robot teams. By integrating human cognitive abilities with the functional... Read More about Should we get involved? Impact of human collaboration and intervention on multi-robot teams.

Investigating factors influencing takeover performance in conditionally automated driving: The role of uncertainty communication (2025)
Journal Article

Safe transition following a Takeover Request (ToR) in Level 3 automated driving requires a high situational awareness, which is influenced by traffic complexity, non-driving-related tasks (NDRTs), and communication strategies. These factors are often... Read More about Investigating factors influencing takeover performance in conditionally automated driving: The role of uncertainty communication.

Cyber-physical-human systems for mobile robots in energy asset management: Current practices and future opportunities (2025)
Journal Article

Rapid advancement of digital technologies has resulted in an acceleration of cyber–physical systems for autonomous mobile robots to improve energy asset management activities within inspection, maintenance and repair. Within this systems-based approa... Read More about Cyber-physical-human systems for mobile robots in energy asset management: Current practices and future opportunities.

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.