Shared autonomy is an operational concept in which a user and an autonomous agent
collaboratively control a robotic system. It provides a number of advantages over the …

Heralded by the initial success in speech recognition and image classification, learning-
based approaches with neural networks, commonly referred to as deep learning, have …

Motor brain-machine interfaces (BMIs) decode neural signals to help people with paralysis
move and communicate. Even with important advances in the last two decades, BMIs face …

Shared autonomy enabled teleoperation systems minimise the cognitive load on an
operator by providing autonomous assistance during task execution. In contrast to prior …

This paper presents a novel approach for shared autonomy in robot teleoperation that
utilises a policy adaptation technique. This is achieved by modelling shared autonomy as an …

Advancements in robotics, artificial intelligence, and other automation have highlighted the
need for humans to work together with machines in a more flexible and collaborative fashion …