About this Research Topic

Manuscript Submission Deadline 13 September 2022
Manuscript Extension Submission Deadline 13 October 2022

Motivated by a considerable scientific interest and relatively easy accessibility, small celestial bodies represent the current frontier of space exploration. This interest is witnessed by the recent Hayabusa-2 mission and the ongoing OSIRIS-Rex mission. Many missions are also being planned, e.g. the DART mission from NASA and the HERA mission from ESA.

However, there are many new challenges in designing space missions for these small bodies. One is that the environment is highly unknown and not well characterized before the spacecraft’s arrival, due to the limited capability of ground observations. Another is landing on the surface of the low-gravity body. Therefore, autonomy is important for a successful and smart mission, and visual navigation is an essential technology to achieve mission autonomy. In addition, small spacecraft such as CubeSats and their formations have become popular in Earth missions due to their low cost and high flexibility. Their application to small body missions is promising, but also challenging, due to the irregular and weak gravity fields and the uncertain dynamical environments. In addition to the technological challenges, the mission is also expected to be designed with the maximum or optimum scientific return. All of these challenges provide a favorable ground for the development and application of the latest artificial intelligence methodologies in the design and control of new space missions, with the ultimate goal of having a higher degree of efficiency and autonomy on board.

The goal of this Research Topic is to collect original contributions that can address some of the above challenges for the design and control of future intelligent missions to small bodies. Applications of Artificial Intelligence (AI) methods to mission design and control, novel design of CubeSat formations, and novel mission design for optimal scientific return and mission autonomy are examples of the topics examined.

Potential submission topics include, but are not limited to, the following:
• AI and optimization methods in guidance, navigation, and control (GNC)
• AI and optimization methods in trajectory design
• Novel design and smart solutions for formations
• Smart solutions for maximum scientific return
• Mission-design enabled by novel systems
• Intelligent control of online and offline algorithms for adaptation and learning
• Uncertainty treatment in mission design and control
• Limited memory and limited storage machine learning methods for onboard computing
• Studies related to current small body missions

Keywords: small body missions, artificial intelligence, mission autonomy, science return, smart solution


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.

Motivated by a considerable scientific interest and relatively easy accessibility, small celestial bodies represent the current frontier of space exploration. This interest is witnessed by the recent Hayabusa-2 mission and the ongoing OSIRIS-Rex mission. Many missions are also being planned, e.g. the DART mission from NASA and the HERA mission from ESA.

However, there are many new challenges in designing space missions for these small bodies. One is that the environment is highly unknown and not well characterized before the spacecraft’s arrival, due to the limited capability of ground observations. Another is landing on the surface of the low-gravity body. Therefore, autonomy is important for a successful and smart mission, and visual navigation is an essential technology to achieve mission autonomy. In addition, small spacecraft such as CubeSats and their formations have become popular in Earth missions due to their low cost and high flexibility. Their application to small body missions is promising, but also challenging, due to the irregular and weak gravity fields and the uncertain dynamical environments. In addition to the technological challenges, the mission is also expected to be designed with the maximum or optimum scientific return. All of these challenges provide a favorable ground for the development and application of the latest artificial intelligence methodologies in the design and control of new space missions, with the ultimate goal of having a higher degree of efficiency and autonomy on board.

The goal of this Research Topic is to collect original contributions that can address some of the above challenges for the design and control of future intelligent missions to small bodies. Applications of Artificial Intelligence (AI) methods to mission design and control, novel design of CubeSat formations, and novel mission design for optimal scientific return and mission autonomy are examples of the topics examined.

Potential submission topics include, but are not limited to, the following:
• AI and optimization methods in guidance, navigation, and control (GNC)
• AI and optimization methods in trajectory design
• Novel design and smart solutions for formations
• Smart solutions for maximum scientific return
• Mission-design enabled by novel systems
• Intelligent control of online and offline algorithms for adaptation and learning
• Uncertainty treatment in mission design and control
• Limited memory and limited storage machine learning methods for onboard computing
• Studies related to current small body missions

Keywords: small body missions, artificial intelligence, mission autonomy, science return, smart solution


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.

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