Imitation learning from human demonstrations has shown impressive performance in
robotics. However, most results focus on table-top manipulation, lacking the mobility and …

Physical human-robot interaction (pHRI) is widely needed in many fields, such as industrial
manipulation, home services, and medical rehabilitation, and puts higher demands on the …

Cooperative lifting (co-lift) is an important application of HRI with use-cases in many fields
such as manufacturing, assembly, medical rehabilitation, etc. Successful industrial …

Legged manipulators are a prime candidate for reducing risk to human lives through
completing tasks in hazardous environments. However, controlling these systems in real …

A critical bottleneck limiting imitation learning in robotics is the lack of data. This problem is
more severe in mobile manipulation, where collecting demonstrations is harder than in …

Demonstration data plays a key role in learning complex behaviors and training robotic
foundation models. While effective control interfaces exist for static manipulators, data …

In this paper, the angular position of a DC geared motor for Robotic is controlled by PID
(proportional, integral, and derivative) controllers. The Arduino UNO microcontroller board …

This paper proposes an innovative framework that is designed to strengthen human upper
limb rehabilitation through the social robot TIAGo. Such a system is designed as a …

In recent years, there has been an increase in the use of robots that coexist with humans in
society and homes. These robots are required to perform various motions in such …

We study the problem of teaching humanoid robots to imitate manipulation skills by watching
single human videos. To tackle this problem, we investigate an object-aware retargeting …