7 citations · 29 across the 9 of their papers we have counts for
10 papers · 1 filter
The role of haptic communication in dyadic collaborative object manipulation tasks
Yiming Liu, Raz Leib, William Dudley +3
Intuitive and efficient physical human-robot collaboration relies on the mutual observability of the human and the robot, i.e. the two entities being able to interpret each other's…
I am Robot: Neuromuscular Reinforcement Learning to Actuate Human Limbs through Functional Electrical Stimulation
Nat Wannawas, Ali Shafti, A. Aldo Faisal
Human movement disorders or paralysis lead to the loss of control of muscle activation and thus motor control. Functional Electrical Stimulation (FES) is an established and safe te…
Non-invasive Cognitive-level Human Interfacing for the Robotic Restoration of Reaching & Grasping
Ali Shafti, A. Aldo Faisal
Assistive and Wearable Robotics have the potential to support humans with different types of motor impairments to become independent and fulfil their activities of daily living suc…
Real-World Human-Robot Collaborative Reinforcement Learning
Ali Shafti, Jonas Tjomsland, William Dudley +1
The intuitive collaboration of humans and intelligent robots (embodied AI) in the real-world is an essential objective for many desirable applications of robotics. Whilst there is…
Human-Robot Collaboration via Deep Reinforcement Learning of Real-World Interactions
Jonas Tjomsland, Ali Shafti, A. Aldo Faisal
We present a robotic setup for real-world testing and evaluation of human-robot and human-human collaborative learning. Leveraging the sample-efficiency of the Soft Actor-Critic al…
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…