Robotic vision, otherwise known as computer vision for robots, is a critical process for robots
to collect and interpret detailed information related to human actions, goals, and …

As the global population rapidly ages with longer life expectancy and declining birth rates,
the need for healthcare services and caregivers for older adults is increasing. Current …

We propose the first framework to learn control policies for vision-based human-to-robot
handovers, a critical task for human-robot interaction. While research in Embodied AI has …

Repetitive industrial tasks can be easily performed by traditional robotic systems. However,
many other works require cognitive knowledge that only humans can provide. Human-Robot …

Human-robot object handovers have been an actively studied area of robotics over the past
decade; however, very few techniques and systems have addressed the challenge of …

The ability to detect multidimensional forces is highly desired for electronic skin (E-skin)
sensors. Here, based on single-electrode-mode triboelectric nanogenerators (S-TENGs) …

We present an approach for safe, and object-independent human-to-robot handovers using
real time robotic vision, and manipulation. We aim for general applicability with a generic …

Modern scenarios in robotics involve human-robot collaboration or robot-robot cooperation
in unstructured environments. In human-robot collaboration, the objective is to relieve …

We present the HOH (Human-Object-Human) Handover Dataset, a large object count
dataset with 136 objects, to accelerate data-driven research on handover studies, human …

Robot-human object handover has been extensively studied in recent years for a wide
range of applications. However, it is still far from being as natural as human-human …