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Human-Robot Collaboration in Robotic Applications
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Human-Robot Collaboration in Robotic Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 5427

Special Issue Editors

Prof. Dr. Jesús Fernández Lozano

E-Mail Website
Guest Editor
Robotics and Mechatronics Lab, Andalucía Tech, Universidad de Málaga, 29071 Málaga, Spain
Interests: robotics; mechatronics applications
Prof. Dr. Ricardo Vázquez-Martín

E-Mail Website
Guest Editor
Robotics and Mechatronics Lab, Andalucía Tech, Universidad de Málaga, 29071 Málaga, Spain
Interests: robotics

Special Issue Information

Dear Colleagues,

Robotic applications are increasing in a wide range of applications in social and industrial domains. The interaction between human and robots is not only focused on the availability of communication modalities and instructions to be given to the robot, but also collaborative and cooperative tasks present new challenges in human-robot relationship where the human factor is a key element in the design of autonomous robot behaviors.

Social interaction between people and machines is today a routine task but is continuously changing with significant challenges in the future. Autonomous driving towards full vehicle autonomy, agriculture and disaster robotics in unstructured environments, robotics surgery and rehabilitation in medicine applications, and collaboration in industry 4.0 are some examples of new challenges in the relationship between humans and robots, not excluding the interaction between people and the infrastructure (Internet of Things). In terms of sensing capabilities to provide different modalities and redundant systems for interaction visual, lidar, magnetics, tactile and audio are very different feedback information to develop the interacting cues between robot (and robotic things) and human. Topics include but are not limited to:

  • Human-robot collaboration
  • Human-robot interaction in self-driving vehicles
  • Collaborative tasks in industry 4.0
  • Cooperative robotic surgery
  • Cooperative human-robot interaction in rehabilitation
  • Social human interaction with Internet of Things (IoT)
  • Multisensor detection for human-robot interaction
  • Cloud and edge-based processing of sensor information for human-robot interaction
  • Multi-robot cooperation with humans

Prof. Dr. Jesus Fernández Lozano
Prof. Dr. Ricardo Vázquez-Martín
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. Sensors 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 2600 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.

Keywords

  • human-robot interaction
  • cooperative human-robot behaviors
  • human-robot collaboration in industry 4.0
  • human interaction with IoRT
  • human factor in robot collaboration
  • remote sensor processing

Published Papers (3 papers)

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Research

17 pages, 12448 KiB  
Article
Research on Human-Robot Collaboration Method for Parallel Robots Oriented to Segment Docking
by Deyuan Sun, Junyi Wang, Zhigang Xu, Jianwen Bao and Han Lu
Sensors 2024, 24(6), 1747; https://doi.org/10.3390/s24061747 - 8 Mar 2024
Viewed by 542
Abstract
In the field of aerospace, large and heavy cabin segments present a significant challenge in assembling space engines. The substantial inertial force of cabin segments’ mass often leads to unexpected motion during docking, resulting in segment collisions, making it challenging to ensure the [...] Read more.
In the field of aerospace, large and heavy cabin segments present a significant challenge in assembling space engines. The substantial inertial force of cabin segments’ mass often leads to unexpected motion during docking, resulting in segment collisions, making it challenging to ensure the accuracy and quality of engine segment docking. While traditional manual docking leverages workers’ expertise, the intensity of the labor and low productivity are impractical for real-world applications. Human-robot collaboration can effectively integrate the advantages of humans and robots. Parallel robots, known for their high precision and load-bearing capacity, are extensively used in precision assembly under heavy load conditions. Therefore, human-parallel-robot collaboration is an excellent solution for such problems. In this paper, a framework is proposed that is easy to realize in production, using human-parallel-robot collaboration technology for cabin segment docking. A fractional-order variable damping admittance control and an inverse dynamics robust controller are proposed to enhance the robot’s compliance, responsiveness, and trajectory tracking accuracy during collaborative assembly. This allows operators to dynamically adjust the robot’s motion in real-time, counterbalancing inertial forces and preventing collisions between segments. Segment docking assembly experiments are performed using the Stewart platform in this study. The results show that the proposed method allows the robot to swiftly respond to interaction forces, maintaining compliance and stable motion accuracy even under unknown interaction forces. Full article
(This article belongs to the Special Issue Human-Robot Collaboration in Robotic Applications)
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22 pages, 4199 KiB  
Article
A Brain-Controlled Quadruped Robot: A Proof-of-Concept Demonstration
by Nataliya Kosmyna, Eugene Hauptmann and Yasmeen Hmaidan
Sensors 2024, 24(1), 80; https://doi.org/10.3390/s24010080 - 22 Dec 2023
Viewed by 2194
Abstract
Coupling brain–computer interfaces (BCIs) and robotic systems in the future can enable seamless personal assistant systems in everyday life, with the requests that can be performed in a discrete manner, using one’s brain activity only. These types of systems might be of a [...] Read more.
Coupling brain–computer interfaces (BCIs) and robotic systems in the future can enable seamless personal assistant systems in everyday life, with the requests that can be performed in a discrete manner, using one’s brain activity only. These types of systems might be of a particular interest for people with locked-in syndrome (LIS) or amyotrophic lateral sclerosis (ALS) because they can benefit from communicating with robotic assistants using brain sensing interfaces. In this proof-of-concept work, we explored how a wireless and wearable BCI device can control a quadruped robot—Boston Dynamics’ Spot. The device measures the user’s electroencephalography (EEG) and electrooculography (EOG) activity of the user from the electrodes embedded in the glasses’ frame. The user responds to a series of questions with YES/NO answers by performing a brain-teaser activity of mental calculus. Each question–answer pair has a pre-configured set of actions for Spot. For instance, Spot was prompted to walk across a room, pick up an object, and retrieve it for the user (i.e., bring a bottle of water) when a sequence resolved to a YES response. Our system achieved at a success rate of 83.4%. To the best of our knowledge, this is the first integration of wireless, non-visual-based BCI systems with Spot in the context of personal assistant use cases. While this BCI quadruped robot system is an early prototype, future iterations may embody friendly and intuitive cues similar to regular service dogs. As such, this project aims to pave a path towards future developments in modern day personal assistant robots powered by wireless and wearable BCI systems in everyday living conditions. Full article
(This article belongs to the Special Issue Human-Robot Collaboration in Robotic Applications)
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14 pages, 1811 KiB  
Article
Treatment of the Paretic Hand with a Robotic Glove Combined with Physiotherapy in a Patient Suffering from Traumatic Tetraparesis: A Case Report
by Federica Bressi, Laura Cricenti, Marco Bravi, Fabiana Pannunzio, Francesca Cordella, Martina Lapresa, Sandra Miccinilli, Fabio Santacaterina, Loredana Zollo, Silvia Sterzi and Benedetta Campagnola
Sensors 2023, 23(7), 3484; https://doi.org/10.3390/s23073484 - 27 Mar 2023
Cited by 1 | Viewed by 2241
Abstract
Background: cervical spinal cord injury leads to loss of upper limb functionality, which causes a decrease in autonomy to perform activities of daily living. The use of robotic technologies in rehabilitation could contribute to improving upper limb functionality and treatment quality. This case [...] Read more.
Background: cervical spinal cord injury leads to loss of upper limb functionality, which causes a decrease in autonomy to perform activities of daily living. The use of robotic technologies in rehabilitation could contribute to improving upper limb functionality and treatment quality. This case report aims to describe the potential of robotic hand treatment with Gloreha Sinfonia, in combination with conventional rehabilitation, in a tetraparetic patient. Material: fifteen rehabilitative sessions were performed. Evaluations were conducted pre-treatment (T0), post-treatment (T1), and at two-months follow-up (T2) based on: the upper-limb range of motion and force assessment, the FMA-UE, the 9-Hole Peg Test (9HPT), and the DASH questionnaire. A virtual reality game-based rating system was used to evaluate the force control and modulation ability. Results: the patient reported greater ability to use hands with less compensation at T1 and T2 assessments. Improvements in clinical scales were reported in both hands at T1, however, at T2 only did the dominant hand show further improvement. Improved grip strength control and modulation ability were reported for T1. However a worsening was found in both hands at T2, significant only for the non-dominant hand. The maximum force exerted increased from T0 to T2 in both hands. Conclusion: hand treatment combining physical therapy and Gloreha Sinfonia seems to have benefits in functionality and dexterity in tetraparetic patient in the short term. Further studies are needed to confirm these findings, to verify long-term results, and to identify the most appropriate modalities of robotic rehabilitation. Full article
(This article belongs to the Special Issue Human-Robot Collaboration in Robotic Applications)
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