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Multi-purpose tactile perception based on deep learning in a new tendon-driven optical tactile sensor (2022)
Presentation / Conference Contribution

In this paper, we create a new tendon-connected multi-functional optical tactile sensor, MechTac, for object perception in the field of view (TacTip) and location of touching points in the blind area of vision (TacSide). In a multi-point touch task,... Read More about Multi-purpose tactile perception based on deep learning in a new tendon-driven optical tactile sensor.

Investigation of fracture process zone development in quasi-isotropic carbon/epoxy laminates using in situ and ex situ X-ray Computed Tomography (2022)
Journal Article

Trans-laminar fracture toughness is an important property of laminated composites and examining the fracture process zone at the tip of a crack is key to understanding it. To date, little research has been done on in-depth examination of the early fr... Read More about Investigation of fracture process zone development in quasi-isotropic carbon/epoxy laminates using in situ and ex situ X-ray Computed Tomography.

Voices in a Pandemic (VIP-CLEAR): Using deep mapping to explore children’s changing perceptions and experiences during COVID-19 ‘recovery’ (2022)
Presentation / Conference Contribution

Children are unheard voices within the COVID-19 pandemic. We are unaware how intersections of complex factors in specific social settings have impacted their perceptions and are determining what ‘recovery’ means. ‘Voices in a Pandemic: Children’s Loc... Read More about Voices in a Pandemic (VIP-CLEAR): Using deep mapping to explore children’s changing perceptions and experiences during COVID-19 ‘recovery’.

A trajectory and force dual-incremental robot skill learning and generalization framework using improved dynamical movement primitives and adaptive neural network control (2022)
Journal Article

Due to changes in the environment and errors that occurred during skill initialization, the robot's operational skills should be modified to adapt to new tasks. As such, skills learned by the methods with fixed features, such as the classical Dynamic... Read More about A trajectory and force dual-incremental robot skill learning and generalization framework using improved dynamical movement primitives and adaptive neural network control.

Pressure and angle sensors with optical fiber for instrumentation of the PrHand hand prosthesis (2022)
Presentation / Conference Contribution

The principal cause of upper limb amputations is due to traumatism. The prosthesis is an assistive device to help in the activities of daily for the amputee person. However, one of the latest reports shows that in developing countries there are aroun... Read More about Pressure and angle sensors with optical fiber for instrumentation of the PrHand hand prosthesis.