4 citations · 5 across the 5 of their papers we have counts for
4 papers · 1 filter
User-Driven Learning from Demonstration: A Trajectory and Impedance Learning Method
Zi-Qi Yang, Mehrdad R. Kermani
This paper presents a method for user-driven robot Learning from Demonstration (LfD) that reduces user effort while ensuring compliant and precise reproduction. The method eliminat…
A Unified Multi-Layer Framework for Skill Acquisition from Imperfect Human Demonstrations
Zi-Qi Yang, Mehrdad R. Kermani
Current Human-Robot Interaction (HRI) systems for skill teaching are fragmented, and existing approaches in the literature do not offer a cohesive framework that is simultaneously…
A Null Space Compliance Approach for Maintaining Safety and Tracking Performance in Human-Robot Interactions
Zi-Qi Yang, Miaomiao Wang, Mehrdad R. Kermani
In recent years, the focus on developing robot manipulators has shifted towards prioritizing safety in Human-Robot Interaction (HRI). Impedance control is a typical approach for in…
Design and Modeling of a Smart Torque-Adjustable Rotary Electroadhesive Clutch for Application in Human-Robot Interaction
Navid Feizi, S. Farokh Atashzar, Mehrdad R. Kermani +1
The increasing need for sharing workspace and interactive physical tasks between robots and humans has raised concerns regarding safety of such operations. In this regard, controll…