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A bio-inspired multi-functional tendon-driven tactile sensor and application in obstacle avoidance using reinforcement learning (2023)
Journal Article

This paper presents a new bio-inspired tactile sensor that is multi-functional and has different sensitivity contact areas. The TacTop area is sensitive and is used for object classification when there is a direct contact. On the other hand, the TacS... Read More about A bio-inspired multi-functional tendon-driven tactile sensor and application in obstacle avoidance using reinforcement learning.

Distributed observer-based prescribed performance control for multi-robot deformable object cooperative teleoperation (2023)
Journal Article

In this paper, a distributed observer-based prescribed performance control method is proposed for using a multi-robot teleoperation system to manipulate a common deformable object. To achieve a stable position-tracking effect and realize the desired... Read More about Distributed observer-based prescribed performance control for multi-robot deformable object cooperative teleoperation.

Visual-tactile robot grasping based on human skill learning from demonstrations using a wearable parallel hand exoskeleton (2023)
Journal Article

The soft fingers and strategic grasping skills enable the human hands to grasp objects in a stable manner. This letter is to model human grasping skills and transfer the learned skills to robots to improve grasping quality and success rate. First, we... Read More about Visual-tactile robot grasping based on human skill learning from demonstrations using a wearable parallel hand exoskeleton.

Multi-vulnerability analysis for seismic risk management in historic city centres: an application to the historic city centre of La Serena, Chile (2023)
Journal Article

A comprehensive understanding of the elements at risk, through the identification of the main hazards, level of exposure and different dimensions of the vulnerability of the communities, is an essential step toward the definition and adoption of more... Read More about Multi-vulnerability analysis for seismic risk management in historic city centres: an application to the historic city centre of La Serena, Chile.

Roots and models (2023)
Journal Article

One of us comes from dance, the other from robotics, and you would be forgiven for thinking immediately about the YouTube films created by Boston Dynamics. But what connects us is our concern that human-ness is losing ground to machine-ness. To partl... Read More about Roots and models.

The tree(s) of hope and ambition: An arts-based social science informed, participatory research method to explore children's future hopes, ambitions and support in relation to COVID-19 (2023)
Journal Article

This paper offers a new child-centred methodology that explores children's visions of their futures, encourages self-reflection and depth and shares children's voices with peers and researchers, as unbrokered as possible. This final stage of a longit... Read More about The tree(s) of hope and ambition: An arts-based social science informed, participatory research method to explore children's future hopes, ambitions and support in relation to COVID-19.

Investigation of energy absorption performances of a 3D printed fiber-reinforced bio-inspired cellular structure under in-plane compression loading (2023)
Journal Article

This article proposes glass-fiber-reinforced bone-inspired cellular structures to enhance energy absorption capability. The elastic modulus of the bone-inspired unit cell is obtained analytically based on the energy method and then employed in Partic... Read More about Investigation of energy absorption performances of a 3D printed fiber-reinforced bio-inspired cellular structure under in-plane compression loading.

Dynamic motion primitives-based trajectory learning for physical human-robot interaction force control (2023)
Journal Article

One promising function of interactive robots is to provide a specific interaction force to human users. For example, rehabilitation robots are expected to promote patients' recovery by interacting with them with a prescribed force. However, motion un... Read More about Dynamic motion primitives-based trajectory learning for physical human-robot interaction force control.