research
∙
09/11/2023
Physics-informed reinforcement learning via probabilistic co-adjustment functions
Reinforcement learning of real-world tasks is very data inefficient, and...
share
research
∙
06/20/2023
EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks
Brain-Machine Interfacing (BMI) has greatly benefited from adopting mach...
research
∙
03/17/2023
Towards AI-controlled FES-restoration of movements: Learning cycling stimulation pattern with reinforcement learning
Functional electrical stimulation (FES) has been increasingly integrated...
research
∙
01/10/2023
Towards AI-controlled FES-restoration of arm movements: Controlling for progressive muscular fatigue with Gaussian state-space models
Reaching disability limits an individual's ability in performing daily t...
research
∙
01/10/2023
Towards AI-controlled FES-restoration of arm movements: neuromechanics-based reinforcement learning for 3-D reaching
Reaching disabilities affect the quality of life. Functional Electrical ...
research
∙
11/20/2022
Federated deep transfer learning for EEG decoding using multiple BCI tasks
Deep learning has been successful in BCI decoding. However, it is very d...
research
∙
09/16/2022
Neuromuscular Reinforcement Learning to Actuate Human Limbs through FES
Functional Electrical Stimulation (FES) is a technique to evoke muscle c...
research
∙
03/02/2022
The role of haptic communication in dyadic collaborative object manipulation tasks
Intuitive and efficient physical human-robot collaboration relies on the...
research
∙
02/16/2022
The Response Shift Paradigm to Quantify Human Trust in AI Recommendations
Explainability, interpretability and how much they affect human trust in...
research
∙
01/22/2022
MIDAS: Deep learning human action intention prediction from natural eye movement patterns
Eye movements have long been studied as a window into the attentional me...
research
∙
09/16/2021
Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition
Reinforcement Learning (RL) is emerging as tool for tackling complex con...
research
∙
03/20/2021
Bayesian Distributional Policy Gradients
Distributional Reinforcement Learning (RL) maintains the entire probabil...
research
∙
03/09/2021
Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding
Convolutional neural networks (CNNs) have become a powerful technique to...
research
∙
03/09/2021
I am Robot: Neuromuscular Reinforcement Learning to Actuate Human Limbs through Functional Electrical Stimulation
Human movement disorders or paralysis lead to the loss of control of mus...
research
∙
03/04/2021
Gaze-contingent decoding of human navigation intention on an autonomous wheelchair platform
We have pioneered the Where-You-Look-Is Where-You-Go approach to control...
research
∙
03/04/2021
Neuromechanics-based Deep Reinforcement Learning of Neurostimulation Control in FES cycling
Functional Electrical Stimulation (FES) can restore motion to a paralyse...
research
∙
02/25/2021
Non-invasive Cognitive-level Human Interfacing for the Robotic Restoration of Reaching Grasping
Assistive and Wearable Robotics have the potential to support humans wit...
research
∙
01/21/2021
Personalised Recommendations in Mental Health Apps: The Impact of Autonomy and Data Sharing
The recent growth of digital interventions for mental well-being prompts...
research
∙
03/02/2020
Real-World Human-Robot Collaborative Reinforcement Learning
The intuitive collaboration of humans and intelligent robots (embodied A...
research
∙
12/02/2019
Human-Robot Collaboration via Deep Reinforcement Learning of Real-World Interactions
We present a robotic setup for real-world testing and evaluation of huma...
research
∙
10/07/2019
Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions
From a young age humans learn to use grammatical principles to hierarchi...
research
∙
09/11/2019
Human Visual Attention Prediction Boosts Learning & Performance of Autonomous Driving Agents
Autonomous driving is a multi-task problem requiring a deep understandin...
research
∙
09/09/2019
Aligning Daily Activities with Personality: Towards A Recommender System for Improving Wellbeing
Recommender Systems have not been explored to a great extent for improvi...
research
∙
08/13/2019
Modeling Personality vs. Modeling Personalidad: In-the-wild Mobile Data Analysis in Five Countries Suggests Cultural Impact on Personality Models
Sensor data collected from smartphones provides the possibility to passi...
research
∙
04/14/2019
Dot-to-Dot: Achieving Structured Robotic Manipulation through Hierarchical Reinforcement Learning
Robotic systems are ever more capable of automation and fulfilment of co...
research
∙
03/06/2019
Understanding the Artificial Intelligence Clinician and optimal treatment strategies for sepsis in intensive care
In this document, we explore in more detail our published work (Komorows...
research
∙
09/21/2018
Gaze-based, Context-aware Robotic System for Assisted Reaching and Grasping
Assistive robotic systems endeavour to support those with movement disab...
research
∙
07/30/2018
Mechanomyography based closed-loop Functional Electrical Stimulation cycling system
Functional Electrical Stimulation (FES) systems are successful in restor...
research
∙
07/27/2018
Towards an Embodied Semantic Fovea: Semantic 3D scene reconstruction from ego-centric eye-tracker videos
Incorporating the physical environment is essential for a complete under...
research
∙
07/22/2018
FastOrient: Lightweight Computer Vision for Wrist Control in Assistive Robotic Grasping
Wearable and Assistive robotics for human grasp support are broadly eith...
research
∙
07/22/2018
The Supernumerary Robotic 3rd Thumb for Skilled Music Tasks
Wearable robotics bring the opportunity to augment human capability and ...
research
∙
03/14/2018