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.

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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

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SUPER-MAN: SUPERnumerary robotic bodies for physical assistance in huMAN–robot conjoined actions

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article

SUPER-MAN: SUPERnumerary robotic bodies for physical assistance in huMAN–robot conjoined actions

Pietro Balatti, Juan M. Gandarías, Alberto Giammarino, Mattia Leonori, Arash Ajoudani, Marta Lorenzini
article en
6 citations

Abstract

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.

MechatronicsVol. 103
Italian Institute of Technology (IT)
European Research Council, HORIZON EUROPE Reforming and enhancing the European Research and Innovation system
Reduced inequalities
Openalex Percentile: Top 14%
Robot Manipulation and Learning
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