Stefano Cordasco — accepted AI-conference papers

2023

Design and Validation of a Multi-Arm Relocatable Manipulator for Space Applications

Enrico Mingo Hoffman, Arturo Laurenzi, Francesco Ruscelli, Luca Rossini, Lorenzo Baccelliere, Davide Antonucci +10

ICRA 2023poster

This work presents the computational design and validation of the Multi-Arm Relocatable Manipulator (MARM), a three-limb robot for space applications, with particular reference to the MIRROR (i.e., the Multi-arm Installation Robot for Readying ORUs and Reflectors) use-case scenario as proposed by th…

Cited by 3 Source ↗Scholar ↗

2019

CENTAURO: A Hybrid Locomotion and High Power Resilient Manipulation Platform

Navvab Kashiri, Lorenzo Baccelliere, Luca Muratore, Arturo Laurenzi, Zeyu Ren, Enrico Mingo Hoffman +7

RA-L 2019

Despite the development of a large number of mobile manipulation robots, very few platforms can demonstrate the required strength and mechanical sturdiness to accommodate the needs of real-world applications with high payload and moderate/harsh physical interaction demands, e.g., in disaster-respons

Cited by 154 Source ↗Scholar ↗

2017

Development of a human size and strength compliant bi-manual platform for realistic heavy manipulation tasks

Lorenzo Baccelliere, Navvab Kashiri, Luca Muratore, Arturo Laurenzi, Małgorzata Kamedula, Alessio Margan +3

IROS 2017poster

Developing a high physical performance robotic manipulation platform with considerable power density, strength and resilience is not a trivial task and frequently leads to heavy and bulky systems unable to meet the application requirements, i.e. such robots should have human body size compatibility…

Cited by 74 Source ↗Scholar ↗