Robots are expanding from industrial applications to daily life, in areas such as medical
robotics, rehabilitative robotics, social robotics, and mobile/aerial robotics systems. In recent …

Programming robots is a challenging task exacer-bated by software bugs, faulty hardware,
and environmental fac-tors. When coding issues arise, traditional debugging techniques …

This paper presents an Augmented Reality (AR) assisted robot learning framework for
Minimally Invasive Surgery (MIS) tasks. The proposed framework exploits an external optical …

Remote teleoperation is an important robot control method when they cannot operate fully
autonomously. Yet, teleoperation presents challenges to effective and full robot utilization …

Future versatile robots need the ability to learn new tasks and behaviors from
demonstrations. Recent advances in virtual and augmented reality position these …

For nearly three decades, researchers have explored the use of augmented reality for
facilitating collaboration between humans and robots. In this survey paper, we review the …

While we can see robots in more areas of our lives, they still make errors. One common
cause of failure stems from the robot perception module when detecting objects. Allowing …

The 7th International Workshop on Virtual, Augmented, and Mixed Reality for Human-Robot
Interaction (VAM-HRI) seeks to bring together researchers from human-robot interaction …

In human-robot collaboration domains, augmented reality (AR) technologies have enabled
people to visualize the state of robots. Current AR-based visualization policies are designed …

Learning from demonstration (LfD) has the potential to greatly increase the applicability of
robotic manipulators in modern industrial applications. Recent progress in LfD methods …