41 citations · 60 across the 8 of their papers we have counts for
5 papers · 2 filters
An Open Tele-Impedance Framework to Generate Data for Contact-Rich Tasks in Robotic Manipulation
Alberto Giammarino, Juan M. Gandarias, Arash Ajoudani
Using large datasets in machine learning has led to outstanding results, in some cases outperforming humans in tasks that were believed impossible for machines. However, achieving…
An Object Deformation-Agnostic Framework for Human-Robot Collaborative Transportation
Doganay Sirintuna, Alberto Giammarino, Arash Ajoudani
In this study, an adaptive object deformability-agnostic human-robot collaborative transportation framework is presented. The proposed framework enables to combine the haptic infor…
A Hybrid Learning and Optimization Framework to Achieve Physically Interactive Tasks with Mobile Manipulators
Jianzhuang Zhao, Alberto Giammarino, Edoardo Lamon +3
This paper proposes a hybrid learning and optimization framework for mobile manipulators for complex and physically interactive tasks. The framework exploits an admittance-type phy…
Human-Robot Collaborative Carrying of Objects with Unknown Deformation Characteristics
Doganay Sirintuna, Alberto Giammarino, Arash Ajoudani
In this work, we introduce an adaptive control framework for human-robot collaborative transportation of objects with unknown deformation behaviour. The proposed framework takes as…
SUPER-MAN: SUPERnumerary Robotic Bodies for Physical Assistance in HuMAN-Robot Conjoined Actions
Alberto Giammarino, Juan M. Gandarias, Pietro Balatti +3
This paper presents a mobile supernumerary robotic approach to physical assistance in human-robot conjoined actions. The study starts with a description of the SUPER-MAN concept. T…