activity
20162022
most citedDot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation

52 citations · 101 across the 15 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.RO2018

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…

cs.RO2018★ 5 cited

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…

cs.RO2018★ 1 cited

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…

cs.RO2018

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…

cs.RO2018

Real-time Robot-assisted Ergonomics

Ali Shafti, Ahmad Ataka, Beatriz Urbistondo Lazpita +3

This paper describes a novel approach in human robot interaction driven by ergonomics. With a clear focus on optimising ergonomics, the approach proposed here continuously observes…