4 accepted papers
Unsupervised object discovery (UOD) aims to detect and segment objects in 2D images without handcrafted annotations. Recent progress in self-supervised representation learning has led to some success in UOD algorithms. However, the absence of ground truth provides existing UOD methods with two chall…
Previous research into using robots for pain man-agement has shown promise. However to date, there seems to have been little research investigating user requirements for robotic pain management devices which could be used by adults living with chronic pain, and how these might be translated into cus…
The effectiveness of Socially Assistive Robots (SAR) relies on their ability to motivate particular user behaviours, e.g. engagement with a task, requiring complex social interactions tailored to the needs and motivations of the user. Professionals from human-centred domains such as healthcare are e…
Robots that can assist in the activities of daily living, such as dressing, may support older adults, addressing the needs of an aging population in the face of a growing shortage of care professionals. Using depth cameras during robot-assisted dressing can lead to occlusions and loss of user tracki