Applied Mathematics and Artificial Intelligence for Robotics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 15 March 2027 | Viewed by 33
Special Issue Editor
Special Issue Information
Dear Colleagues,
With the rapid advancements in industrial automation and unstructured environment operations (e.g., deep space, deep sea, and extreme terrestrial environments), advanced robotics technology has become a pivotal driver for societal and scientific progress. In recent years, an increasing number of sophisticated robotic systems—such as redundant space manipulators for on-orbit servicing, legged humanoid robots for complex terrains, and co-robots for human–machine interaction—are being deployed in highly dynamic, uncertain, and harsh environments. Meanwhile, executing intricate tasks like lunar construction, contact-rich manipulation, and high-speed agile locomotion severely challenges traditional control and perception frameworks.
It is well recognized that modern robotics inherently relies on multi-disciplinary foundations, requiring precise mathematical formulations from structural topology and kinematics to high-order nonlinear dynamics, while simultaneously demanding data-driven adaptability. In complex scenarios, robots are commonly subjected to multi-physics constraints, strong external disturbances, and communication latencies simultaneously, providing a complex breeding ground for operational instabilities. Furthermore, addressing these issues involves multi-rate coupling processes, such as the interaction between high-level discrete semantic decisions and low-level continuous hybrid dynamics in legged systems. Characterizing, optimizing, and controlling such systems under strict non-holonomic constraints and multi-modal transitions remains a monumental challenge.
The primary aim of this Special Issue is to bring together original research discussing innovative efforts on applied mathematics and artificial intelligence in robotics. Submissions showcasing the latest developments in theoretical modeling, advanced control strategies (e.g., fully actuated system theories), optimization algorithms, and machine learning/big-data-driven solutions for robot perception and planning are welcome.
Dr. Xueai Li
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 250 words) can be sent to the Editorial Office for assessment.
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. Mathematics 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
- mathematical modeling in robot mechanisms and design
- intelligent perception and multi-sensor information fusion
- motion planning and trajectory optimization
- physics-informed AI and data-driven optimization
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.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
