More than 1 billion people in the world are estimated to experience significant disability.
These disabilities can impact people's ability to independently conduct activities of daily …

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 complexity …

Recognizing Activities of Daily Living (ADL) is a vital process for intelligent assistive robots,
but collecting large annotated datasets requires time-consuming temporal labeling and …

In gaze-based Human-Robot Interaction (HRI), it is important to determine human visual
intention for interacting with robots. One typical HRI interaction scenario is that a human …

Shared autonomy aims at combining robotic and human control in the execution of remote,
teleoperated tasks. This cooperative interaction cannot be brought about without the robot …

Shared control systems can make complex robot teleoperation tasks easier for users. These
systems predict the user's goal, determine the motion required for the robot to reach that …

Objective: While neuroscience research has established a link between vision and intention,
studies on gaze data features for intention recognition are absent. The majority of existing …

Assistive robot manipulators help people with upper motor impairments perform tasks by
themselves. However, teleoperating a robot to perform complex tasks is difficult. Shared …

Grasp intention recognition plays a crucial role in controlling assistive robots to aid older
people and individuals with limited mobility in restoring arm and hand function. Among the …

The functional independence of individuals with upper limb impairment could be enhanced
by teleoperated robots that can assist with activities of daily living. However, robot control is …