Collaborative Mechatronics Systems

A special issue of Robotics (ISSN 2218-6581). This special issue belongs to the section "Intelligent Robots and Mechatronics".

Deadline for manuscript submissions: closed (30 June 2019) | Viewed by 8054

Special Issue Editors


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Guest Editor
Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
Interests: mechanical design; dynamic system and control; MEMS; robotics
Special Issues, Collections and Topics in MDPI journals
Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA, USA
Interests: human-machine systems, interface design, human friendly mechatronics, human-robot interaction, smart structures and systems

Special Issue Information

Dear Colleagues,

Mechatronics systems are multi-disciplinary systems, and their operation principles involve interactions of different principles in different scientific domains, typically electric and mechanical domains (1). To mechatronic systems that operate together with humans, human factors become extremely important in terms of the ultimate task performance and the safety of human operators. Mechatronic systems in this context are called collaborative mechatronic systems. The key issues with collaborative mechatronic systems are communication and cooperation with human operators (2). More specifically, they are about how a mechatronic system knows a human operator’s physical and mind state and how a mechatronic system operates with a human operator to accomplish their common goal while guaranteeing a high degree of safety and health to the human operator.

This Special Issue calls for papers that address the aforementioned issues as well as related issues, e.g., how a mechatronic system knows about an accident crash with humans, how a mechatronic system makes an optimal plan to change its cooperative behaviour (3), etc. It is noted that the scope is not restricted to one human operator and one mechatronic system only but a group of them, perhaps in the physical-cybernetic setting.

Prof. Dr. Wenjun (Chris) Zhang
Assoc. Prof. Dr. Yingzi Lin
Guest Editor

References

  1. Zhang, W. Double Meaning. Letters to Editor. ASME Mechanical Engineering 2009, 131, 8.
  2. Lin, Y. Toward Intelligent Human Machine Interactions. ASME Mechanical Engineering 2017, 139, doi:10.1115/1.2017-Jun-4.
  3. Zhang, T.; Zhang, W.J.; Gupta, M.M. An Under-actuated Self-Reconfigurable Robot and the Reconfiguration Evolution. Mechanism and Machine Theory 2018, 124, 248-258.

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Published Papers (1 paper)

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Research

17 pages, 2818 KiB  
Article
Wearable Sensors for Human–Robot Walking Together
by Alessandra Moschetti, Filippo Cavallo, Dario Esposito, Jacques Penders and Alessandro Di Nuovo
Robotics 2019, 8(2), 38; https://doi.org/10.3390/robotics8020038 - 15 May 2019
Cited by 11 | Viewed by 7266
Abstract
Thanks to recent technological improvements that enable novel applications beyond the industrial context, there is growing interest in the use of robots in everyday life situations. To improve the acceptability of personal service robots, they should seamlessly interact with the users, understand their [...] Read more.
Thanks to recent technological improvements that enable novel applications beyond the industrial context, there is growing interest in the use of robots in everyday life situations. To improve the acceptability of personal service robots, they should seamlessly interact with the users, understand their social signals and cues and respond appropriately. In this context, a few proposals were presented to make robots and humans navigate together naturally without explicit user control, but no final solution has been achieved yet. To make an advance toward this end, this paper proposes the use of wearable Inertial Measurement Units to improve the interaction between human and robot while walking together without physical links and with no restriction on the relative position between the human and the robot. We built a prototype system, experimented with 19 human participants in two different tasks, to provide real-time evaluation of gait parameters for a mobile robot moving together with a human, and studied the feasibility and the perceived usability by the participants. The results show the feasibility of the system, which obtained positive feedback from the users, giving valuable information for the development of a natural interaction system where the robot perceives human movements by means of wearable sensors. Full article
(This article belongs to the Special Issue Collaborative Mechatronics Systems)
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