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Electronics
Special Issues
Multi-robot Systems: Collaboration, Control, and Path Planning
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Multi-robot Systems: Collaboration, Control, and Path Planning

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 401

Special Issue Editor

Dr. Corrado Santoro

E-Mail Website
Guest Editor
Department of Mathematics and Informatics, University of Catania, Viale Andrea Doria, 6, 95125 Catania, CT, Italy
Interests: multi-agent system; distributed artificial intelligence; autonomous mobile robots; autonomous flying robots

Special Issue Information

Dear Colleagues,

Multi-robot systems appear to be the next frontier of robotics: they comprise a set of autonomous robots living in a real-world environment that cooperate to achieve a common goal; therefore, during operation, each robot must not only take into account the problems related to its own control, but also, and above all, the fact that the overall goal is split into parts, each one in charge of a specific entity. This characteristic enables the pursuit of novel research related to interaction, cooperation and planning in the presence of a world populated by multiple artificial systems. Since “autonomy” is a contentious word, interaction must consider an exchange of meaningful messages that reflect the “state of mind” (knowledge, goals, plans, intentions, etc.) of each single robot, while cooperation and planning imply considering a state of mind that is spread among all the entities. In addition, the path followed by such robotic systems must consider the fact that robots, while exchanging data, may better optimize their movements by exploiting mutual knowledge. In other words, the technologies used to favor these aspects must deal with problems ranging from communication protocols to the meaningful semantics of the messages exchanged, state of mind representation, reasoning, path planning, goal achievement, etc.

The proposed Special Issue aims to gather novel research in the context described and considers, in particular, the following topics:

  • interaction protocols in multi-robot systems
  • distributed artificial intelligence
  • swarm intelligence
  • planning and reasoning in multi-robot systems
  • collaborative path planning
  • flock organization and formation
  • area coverage
  • application and case-studies of multi-robot systems

I look forward to receiving your contributions.

Dr. Corrado Santoro
Guest Editor

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. Electronics 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 2400 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

  • multi-robot
  • swarm robotics
  • intelligence
  • cooperative robot
  • deep learning

Published Papers (1 paper)

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Research

15 pages, 2026 KiB  
Article
Machine Learning-Based Hand Pose Generation Using a Haptic Controller
by Jongin Choi, Jaehong Lee, Daniel Oh and Eung-Joo Lee
Electronics 2024, 13(10), 1970; https://doi.org/10.3390/electronics13101970 - 17 May 2024
Viewed by 233
Abstract
In this study, we present a novel approach to derive hand poses from data input via a haptic controller, leveraging machine learning techniques. The input values received from the haptic controller correspond to the movement of five fingers, each assigned a value between [...] Read more.
In this study, we present a novel approach to derive hand poses from data input via a haptic controller, leveraging machine learning techniques. The input values received from the haptic controller correspond to the movement of five fingers, each assigned a value between 0.0 and 1.0 based on the applied pressure. The wide array of possible finger movements requires a substantial amount of motion capture data, making manual data integration difficult. This challenge is primary due to the need to process and incorporate large volumes of diverse movement information. To tackle this challenge, our proposed method automates the process by utilizing machine learning algorithms to convert haptic controller inputs into hand poses. This involves training a machine learning model using supervised learning, where hand poses are matched with their corresponding input values, and subsequently utilizing this trained model to generate hand poses in response to user input. In our experiments, we assessed the accuracy of the generated hand poses by analyzing the angles and positions of finger joints. As the quantity of training data increased, the margin of error decreased, resulting in generated poses that closely emulated real-world hand movements. Full article
(This article belongs to the Special Issue Multi-robot Systems: Collaboration, Control, and Path Planning)
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