Advanced AI and Robotic Technologies for Spacecraft Modelling, Optimization, and Decision-Making
A special issue of Aerospace (ISSN 2226-4310). This special issue belongs to the section "Astronautics & Space Science".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 48
Special Issue Editors
Interests: radio frequency identification (RFID) and supply chain technologies; wireless sensor networks (WSNs); decision support systems and artificial intelligence (AI); big data analytics; resilience engineering
Special Issues, Collections and Topics in MDPI journals
Interests: mechanical engineering; robotics; manufacturing engineering; mechatronics
Special Issues, Collections and Topics in MDPI journals
Interests: precision engineering; product mechatronics; automatic control system; computer integrated manufacturing and management; computer vision; 3D model retrieval; logistic planning and optimization; deep space exploration
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advancements in artificial intelligence (AI) and robotics have provided new opportunities for the enhancement of spacecrafts and deep space exploration. Space missions have grown in complexity due to the interplanetary exploration of large satellite constellations for telecommunications and navigations, space stations in our orbit, the moon, Mars and other planets. This Special Issue aims to explore innovative AI and robotic techniques that could significantly enhance the autonomy of spacecraft by enabling spacecraft to operate with minimal human intervention, autonomously adapt to dynamic space environments, and optimize mission execution. These key technologies have been proven to enhance the efficiency, safety, and adaptability of spacecraft, and enhance their navigation, sensor fusion, energy management, and fault detection systems, providing greater robustness and reliability during missions. They can assist spacecraft in operating autonomously in a challenging unknown environment, improving the success of missions and their cost-effectiveness.
The scope of this Special Issue includes, but is not limited to, the following topics: AI and robotics-based autonomous navigation and control systems, mission optimization through AI-driven decision-making, fault detection and predictive maintenance for spacecraft systems, and AI-enhanced space situational awareness. This Special Issue will also serve as a platform for sharing innovative research that promotes the future of autonomous deep space exploration missions.
The topics to be covered in this Special Issue include:
- Autonomous navigation using reinforcement learning and deep neural networks.
- AI and robot driven autonomous path planning and decision-making for space exploration.
- Real-time trajectory prediction and optimization for long-duration space missions.
- Multi-agent systems for spacecraft coordination and navigation in dynamic and uncertain environments.
- Multi-objective optimization for resource allocation in spacecraft planning and operations.
- Optimizing spacecraft power and energy management and fuel efficiency
- AI-agent-based monitoring systems for spacecraft health and performance.
- Distributed AI algorithms such as Federated Machine Learning for communication and collaboration among spacecraft.
- Swarm intelligence for autonomous space exploration and data collection.
- Integration of AI with attitude control and propulsion systems.
- AI Cyber defense for space missions and operations.
- LLM for deep space exploration planning, control and execution.
Prof. Dr. Andrew W. H. Ip
Prof. Dr. Zhuming Bi
Prof. Dr. Kai Leung Yung
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. Aerospace 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
- space exploration
- space missions
- spacecraft planning
- artificial intelligence
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