Special Issue "Application and Optimal Control of Vision Robot System"

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

Deadline for manuscript submissions: closed (15 November 2021) | Viewed by 3032

Special Issue Editor

Dr. Cosmin Copot
E-Mail Website
Guest Editor
Department of Electromechanics, University of Antwerp, Antwerp, Belgium
Interests: robotics; mechatronics; visual serving systems; identification and control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleague,

Recent research in the field of robotics aims to use auxiliary sensors to help improve the robustness, flexibility, and accuracy of the control system. The information obtained from sensors is used as feedback in the system control loop. In recent years, a manifold of sensor types has been developed to perform specific tasks which vary in their features and operation design. Due the fact that industrial systems are becoming increasingly more interconnected, the current control schemes need to be updated in order to deal with the system dynamics, system faults, etc. In recent years, there has been increased research attempting to make steps toward the design and development of high-performance and autonomous robotic systems by means of control strategies able to achieve optimal performance at all times and in all circumstances with minimum user interaction.


We welcome any contributions within the general scope of the Special Issue theme “Applications and Optimal Control of Vision Robot Systems”. Review papers are also welcome. Topics of interest include (but are not limited to):

Motion planning
Robot control
Control in mechatronic systems
Human–robot interaction
Multi-robot systems
Robotics and intelligent control
Visual servoing systems
Sensors and actuators
Task planning and monitoring
Manipulation and grasping
Visual control law
Vision-guided robot

Dr. Cosmin Copot
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. 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
GazeEMD: Detecting Visual Intention in Gaze-Based Human-Robot Interaction
Robotics 2021, 10(2), 68; https://doi.org/10.3390/robotics10020068 - 30 Apr 2021
Cited by 2 | Viewed by 2503
Abstract
In gaze-based Human-Robot Interaction (HRI), it is important to determine human visual intention for interacting with robots. One typical HRI interaction scenario is that a human selects an object by gaze and a robotic manipulator will pick up the object. In this work, [...] Read more.
In gaze-based Human-Robot Interaction (HRI), it is important to determine human visual intention for interacting with robots. One typical HRI interaction scenario is that a human selects an object by gaze and a robotic manipulator will pick up the object. In this work, we propose an approach, GazeEMD, that can be used to detect whether a human is looking at an object for HRI application. We use Earth Mover’s Distance (EMD) to measure the similarity between the hypothetical gazes at objects and the actual gazes. Then, the similarity score is used to determine if the human visual intention is on the object. We compare our approach with a fixation-based method and HitScan with a run length in the scenario of selecting daily objects by gaze. Our experimental results indicate that the GazeEMD approach has higher accuracy and is more robust to noises than the other approaches. Hence, the users can lessen cognitive load by using our approach in the real-world HRI scenario. Full article
(This article belongs to the Special Issue Application and Optimal Control of Vision Robot System)
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