As we push space exploration to more challenging targets, space missions become increasingly complex, demanding more capable software and computing elements, as well as scalable and robust verification and validation approaches. Research in these areas has the potential to revolutionize space missions by addressing the various challenges of computational efficiency and system reliability in the harsh environment of space. By exploring emerging software technologies, and analyzing current systems' practices and challenges, this research topic aims at opening up new possibilities for safe and efficient space exploration. Advancements in information technology, machine learning, robotics, computing, and engineering processes will not only enhance future space missions but also enable some missions that could not be achieved without these new technologies.
These themes span multiple Frontiers journals because they have the potential to impact many research areas in the space exploration domain. We invite contributors already working in space exploration, but also in other domains with advanced verification and validation processes, machine learning applications, robotics that could be transferred to space development. This collective endeavor not only aims at enhancing the computational capabilities and reliability of current and future space missions, but also at fostering a multidisciplinary exchange of knowledge and innovative solutions.
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Keywords:
Robotics, Intelligent and Autonomous Systems, Software Reliability, Computing Architectures, Machine learning, Artificial intelligence, Verification and Validation
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
As we push space exploration to more challenging targets, space missions become increasingly complex, demanding more capable software and computing elements, as well as scalable and robust verification and validation approaches. Research in these areas has the potential to revolutionize space missions by addressing the various challenges of computational efficiency and system reliability in the harsh environment of space. By exploring emerging software technologies, and analyzing current systems' practices and challenges, this research topic aims at opening up new possibilities for safe and efficient space exploration. Advancements in information technology, machine learning, robotics, computing, and engineering processes will not only enhance future space missions but also enable some missions that could not be achieved without these new technologies.
These themes span multiple Frontiers journals because they have the potential to impact many research areas in the space exploration domain. We invite contributors already working in space exploration, but also in other domains with advanced verification and validation processes, machine learning applications, robotics that could be transferred to space development. This collective endeavor not only aims at enhancing the computational capabilities and reliability of current and future space missions, but also at fostering a multidisciplinary exchange of knowledge and innovative solutions.
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Keywords:
Robotics, Intelligent and Autonomous Systems, Software Reliability, Computing Architectures, Machine learning, Artificial intelligence, Verification and Validation
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.