52 citations · 81 across the 15 of their papers we have counts for
7 papers · 1 filter
Gaze-based, Context-aware Robotic System for Assisted Reaching and Grasping
Ali Shafti, Pavel Orlov, A. Aldo Faisal
Assistive robotic systems endeavour to support those with movement disabilities, enabling them to move again and regain functionality. Main issue with these systems is the complexi…
The Supernumerary Robotic 3rd Thumb for Skilled Music Tasks
James Cunningham, Anita Hapsari, Pierre Guilleminot +2
Wearable robotics bring the opportunity to augment human capability and performance, be it through prosthetics, exoskeletons, or supernumerary robotic limbs. The latter concept all…
Compact Convolutional Neural Networks for Multi-Class, Personalised, Closed-Loop EEG-BCI
Pablo Ortega, Cedric Colas, Aldo Faisal
For many people suffering from motor disabilities, assistive devices controlled with only brain activity are the only way to interact with their environment. Natural tasks often re…
Mechanomyography based closed-loop Functional Electrical Stimulation cycling system
Billy Woods, Mahendran Subramanian, Ali Shafti +1
Functional Electrical Stimulation (FES) systems are successful in restoring motor function and supporting paralyzed users. Commercially available FES products are open loop, meanin…
Towards an Embodied Semantic Fovea: Semantic 3D scene reconstruction from ego-centric eye-tracker videos
Mickey Li, Noyan Songur, Pavel Orlov +2
Incorporating the physical environment is essential for a complete understanding of human behavior in unconstrained every-day tasks. This is especially important in ego-centric tas…
FastOrient: Lightweight Computer Vision for Wrist Control in Assistive Robotic Grasping
Mireia Ruiz Maymo, Ali Shafti, A. Aldo Faisal
Wearable and Assistive robotics for human grasp support are broadly either tele-operated robotic arms or act through orthotic control of a paralyzed user's hand. Such devices requi…
Generalised Structural CNNs (SCNNs) for time series data with arbitrary graph topology
Thomas Teh, Chaiyawan Auepanwiriyakul, John Alexander Harston +1
Deep Learning methods, specifically convolutional neural networks (CNNs), have seen a lot of success in the domain of image-based data, where the data offers a clearly structured t…