New Localization Methods and Motion Tracking Algorithms for Mechatronic Systems, Robots and Unmanned Vehicles
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Robotics, Mechatronics and Intelligent Machines".
Deadline for manuscript submissions: 15 December 2024 | Viewed by 7137
Special Issue Editors
Interests: intelligent control; sensor fusion; robotics; kalman filtering; industrial robotics; soft computing; localization; SLAM
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent sensor systems; wireless sensor networks; sensor calibration; inertial and magnetic sensors; sensor applications; human-machine interfaces; wearable sensors; sensor fusion; localization; intelligent transportation systems; vehicle detection and classification systems; robotics; mobile robots; multi-robot systems; pattern recognition; signal processing; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The localization problem of mobile robots/mechatronic systems is the first critical task that needs to be addressed in robot control applications. It outputs the pose estimate; the reliability of this result directly influences the success of control algorithms. The problem is solved in a sensor fusion framework, where generally relative and absolute poses are fused with different approaches, from probabilistic methods, over sophisticated mathematical applications, to deep learning models. The dynamic motion is described by relative sensor measurements along with their uncertainties; these sensors are encoders, magnetic, angular rate and gravity sensors (MARG), control speed signals, etc. Then, the absolute measurements, based on lidar, camera, GPS, or radio communication, are incorporated in uncertainty-driven observation models with the aim of correcting the previously obtained results. The combination of these models results in synergy in a recursive pose-estimation framework, which is the basis for nowadays state-of-the-art algorithms in motion tracking applications.
This Special Issue aims to invite high-quality research papers and up-to-date reviews that address new, challenging and interesting localization algorithms, sensor fusion solutions and motion tracking approaches in robotics/mechatronics applications. Topics of interest include, but are not limited to, the following:
- Low-cost embedded system-based solutions;
- Real-time and online sensor fusion algorithms;
- Machine-learning-/deep-learning-aided localization approaches;
- Artificial-intelligence-based sensor fusion solutions;
- Adaptive algorithms in localization;
- New sensor calibration techniques and multi sensor approaches;
- Pattern-recognition-based intelligent sensory solutions;
- Intelligent filtering algorithms and signal processing approaches;
- New dynamical model implementations in filtration;
- Novel sensor combinations and filter structures in localization solutions;
- Human–machine interface-based applications in motion tracking.
Dr. Akos Odry
Dr. Peter Sarcevic
Prof. Dr. Jozsef Sarosi
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. Machines is an international peer-reviewed open access monthly 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
- sensor fusion
- motion tracking
- localization
- state estimation
- sensor calibration
- applied robotics
- robot modeling
- model validation
- machine learning
- intelligent sensor systems
- pattern recognition
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.