5 accepted papers
Robot-assisted feeding holds immense promise for improving the quality of life for individuals with mobility limitations who are unable to feed themselves independently. However, there exists a large gap between the kinds of homogeneous, curated plates existing assistive feeding systems can handle,…
Learning from Demonstration (LfD) seeks to democratize robotics by enabling non-expert end-users to teach robots. However, most LfD techniques assume users provide optimal demonstrations, which may not be accurate. Demonstration quality plays a crucial role in robot learning and generalization. Henc
In shared autonomy, the user input is blended with the assistive motion to accomplish a task where the user goal is typically unknown to the robot. Transparency between the human and robot is essential for effective collaboration. Prior works have provided methods for the robot to infer the user goa…
This paper investigate potential use of augmented reality (AR) for physical human-robot collaboration in large-scale, labour-intensive manufacturing tasks. While it has been shown that use of AR can help increase task efficiency in teleoperative and robot programming tasks involving smaller-scale ro…
In this letter, we propose a training approach combining hand-over-hand and trial and error training approaches and we evaluate its effectiveness for both robotic and standard laparoscopic surgical training. The proposed approach makes use of the data of an expert collected while using the da Vinci