Special Issue "Human Collaborative Robotic Systems"

A special issue of Robotics (ISSN 2218-6581).

Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 2696

Special Issue Editors

Prof. Dr. Zhuming Bi
E-Mail Website
Guest Editor
Department of Civil and Mechanical Engineering, Purdue University Fort Wayne, Fort Wayne, IN, USA
Interests: enterprise information systems; digital manufacturing; finite element analysis; machine designs; robotics and automation; enterprise systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Robotic systems are intelligent systems that carry out five main functions, namely (1) power generation, (2) control/management, (3) actuation, (4) body, (5) sensing. These functions can be intelligent, depending on the physical units developed for them. A robotic system may comprise a single robot or a group of robots. For a group of robots, the intelligence levels of these five main functions are expressed in terms of aggregation and emergency. Furthermore, robots may have different levels of intelligence. There is an application scenario in which robots and humans work together. This Special Issue considers this scenario, which involves the introduction of human collaborative robotic systems.

The key issues with human collaborative robotic systems are communication and cooperation between humans and robots for reliable, robust, and resilient operation. More specifically, they are (i) how a robot is able to determine a human operator’s physical and mental state, (ii) how a robot operates together with a human operator to accomplish a common goal while guaranteeing a high degree of safety and health to the human operator, and (iii) how a group reforms, readjusts, or changes in order to ensure its suitability and resilience.

This Special Issue seeks papers that address the aforementioned issues as well as related issues, e.g., how a mechatronic system can detect an accident or crash involving humans or how a mechatronic system can devise an optimal plan to change its cooperative behavior. It should be 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
Prof. Dr. Zhuming Bi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Robotics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Research

Article
Low-Cost Sensory Glove for Human–Robot Collaboration in Advanced Manufacturing Systems
Robotics 2022, 11(3), 56; https://doi.org/10.3390/robotics11030056 - 05 May 2022
Cited by 2 | Viewed by 1454
Abstract
Human–robot collaboration (HRC) enables humans and robots to coexist in the same working environment by performing production operations together. HRC systems are used in advanced manufacturing to improve the productivity and efficiency of a manufacturing process. The question is which HRC systems can [...] Read more.
Human–robot collaboration (HRC) enables humans and robots to coexist in the same working environment by performing production operations together. HRC systems are used in advanced manufacturing to improve the productivity and efficiency of a manufacturing process. The question is which HRC systems can ensure that humans can work with robots in a safe environment. This present study proposes a solution through the development of a low-cost sensory glove. This glove was developed using a number of hardware and software tools. The sensory glove analysed and computed the motion and orientation of a worker’s hand. This was carried out to operate the robot through commands and actions while under safe operating conditions. The sensory glove was built as a mechatronic device and was controlled by an algorithm that was designed and developed to compute the data and create a three-dimensional render of the glove as it moved. The image produced enabled the robot to recognize the worker’s hand when collaboration began. Tests were conducted to determine the accuracy, dynamic range and practicality of the system. The results showed that the sensory glove is an innovative low-cost solution for humans and robots to collaborate safely. The sensory glove was able to provide a safe working environment for humans and robots to collaborate on operations together. Full article
(This article belongs to the Special Issue Human Collaborative Robotic Systems)
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