Special Issue "Recent Development and Applications of Remote Robot Systems"
Deadline for manuscript submissions: 21 November 2021.
Interests: multisensory communications;QoS control;remote robot control with force feedback
Special Issues and Collections in MDPI journals
Topical Collection in Applied Sciences: 5G Networks: Optimization, Machine Learning and Blockchain Technologies Ⅱ
Special Issue in Entropy: Selected Feature Papers from 7th International Conference on Computer and Communications (ICCC)
Special Issue in Telecom: Papers from the 4th World Symposium on Communication Engineering (WSCE 2021)
In remote robot systems, users can remotely operate robots having various kinds of sensors such as visual, auditory, force, and olfactory sensors. The users can conduct remote cooperative work with robots efficiently and accurately since they are able to watch, hear, touch, and/or smell through the corresponding interface devices/displays in applications where the following kinds of robots play active parts: Medical robots which operate sophisticated surgery and robots which assist rehabilitation, working robots in outer space, deep sea, and reactor decommissioning, where humans cannot enter easily, and rescue robots and drones which help victims of disasters such as earthquakes and concentrated heavy rains and deliver shortage (e.g., foods, water, and clothes) to them.
This special issue focuses on recent development and applications of remote robot systems. By using the systems, we can largely enhance abilities of robots and humans because we can conduct various types of work which only humans cannot do or only robots cannot do. However, when sensed information is transmitted over a network like the Internet, the quality and stability may seriously degraded owing to network delay, delay jitter, and packet loss. Especially, by using multiple systems, the problems may become complicated; for example, change from bilateral control to multilateral control may lead to instability phenomena. To realize stable and high-quality control in the remote robot systems, we need to solve a variety of problems by using QoS (Quality of Service) control, stabilization control, AI technologies, and so on. This special issue invites submissions on, but not limited to, the above research areas.
Prof. Dr. Yutaka Ishibashi
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 papers will be 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. Applied Sciences 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 2000 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.
- remote robot control
- cooperation between humans and robots, and supports by humans to robots and vice versa
- industrial robots, mobile robots, unmanned aerial vehicles (uav), and autonomous robots
- sensors and displays
- force feedback
- bilateral/multilateral control
- stabilization control
- quality of Service (QoS) control
- quality of Experience (QoE) management
- artificial intelligence (AI)