SUPER-MAN: SUPERnumerary robotic bodies for physical assistance in huMAN–robot conjoined actions
This paper presents a mobile supernumerary robotic approach to physical assistance in human–robot conjoined actions. The study starts with the description of the SUPER-MAN concept. The idea is to develop and utilize mobile collaborative systems that can follow human loco-manipulation commands to perform industrial tasks through three main components: (i) an admittance-type interface, (ii) a human–robot interaction controller and (iii) a supernumerary robotic body. Next, we present two possible implementations within the framework — from theoretical and hardware perspectives. The first system is called MOCA-MAN, and is composed of a redundant torque-controlled robotic arm and an omni-directional mobile platform. The second one is called Kairos-MAN, formed by a high-payload 6-DoF velocity-controlled robotic arm and an omni-directional mobile platform. The systems share the same admittance interface, through which user wrenches are translated to loco-manipulation commands, generated by whole-body controllers of each system. Besides, a thorough user-study with multiple and cross-gender subjects is presented to reveal the quantitative performance of the two systems in effort demanding and dexterous tasks. Moreover, we provide qualitative results from the NASA-TLX questionnaire to demonstrate the SUPER-MAN approach’s potential and its acceptability from the users’ viewpoint. • Extension of the MOCA-MAN concept into the unified SUPER-MAN framework. • Evaluation of the framework through multiple experiments using two specific robotic platforms: MOCA and Kairos. • A usability study with 12 human subjects performing industrial-like tasks with and without robotic assistance. • Demonstration of the SUPER-MAN’s effectiveness for both interaction and load-handling tasks based on both objective and subjective analysis. • SUPER-MAN allows for robotic assistance in conjoined loco-manipulation tasks without constraining user mobility.
Authors
- Pietro Balatti (ORCID: https://orcid.org/0000-0001-8303-9733)
- Juan M. Gandarías (ORCID: https://orcid.org/0000-0002-0382-334X)
- Alberto Giammarino
- Mattia Leonori (ORCID: https://orcid.org/0000-0003-3653-4648)
- Arash Ajoudani (ORCID: https://orcid.org/0000-0002-1261-737X)
- Marta Lorenzini (ORCID: https://orcid.org/0000-0002-9458-6844)
Institutions
- Italian Institute of Technology (IT)
Publication Details
- Journal
- Mechatronics
- Published
- 2024-08-12
- DOI
- https://doi.org/10.1016/j.mechatronics.2024.103240
- Citations
- 6
- Primary Topic
- Robot Manipulation and Learning
- Type
- article
- Field-Weighted Citation Impact
- 1.97
Funders
- European Research Council
- HORIZON EUROPE Reforming and enhancing the European Research and Innovation system