Because of urgent requirements of extreme environmental exploration, unstructured environment transportation, nuclear power plant inspection and military application, it is crucial to develop intelligent mobile robots to replace humans in completing dangerous tasks and improve efficiency in extreme environments. However, when mobile robots work in extreme environments, such as nuclear power plants, the wild, the deep sea and space, they must face the problems of high temperature, high pressure, high humidity and high radiation. To overcome the problems and attain the objective mentioned above, we must consider the following questions: advanced materials manufacturing, reliability analysis, high mobility, accurate motion control under disturbance, enhanced sensing capabilities, strong physical interaction ability, intelligent decision-making under uncertainty, energy saving management system and safe motion planning ability. It should be mentioned that artificial intelligence technology is widely used in robot structure optimization design, motion control, compliant interaction, optimal trajectory planning and decision-making, which achieves good results.
This Research Topic will exhibit and discuss the application of the latest research in artificial intelligence technology to mobile robots working in extreme environments (including, but not limited to: wheeled robots, legged robots, flying robots, underwater robots, etc.) in order to improve the reliability, adaptability, autonomy and maneuverability of such robots. This session aims to bring up the researchers to share new ideas and new methods for enhancing and exploring the potential of mobile robots in extreme environments.
In this Research Topic, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:
• Advanced decision and embodied AI technologies under uncertainty
• AI-based fast trajectory planning and collision avoidance for mobile robots
• Robust state estimation and filtering for mobile robots
• System reliability analysis
• Learning-based motion control technologies in extreme environments
• Human-robot extreme environment interaction
• Advanced materials for extreme conditions
• Energy-efficient design for longevity in harsh environments
• Enhanced sensing capabilities for extreme environments
• Safety protocols and risk management
• Other related issues
Keywords:
Intelligent mobile robot, extreme environment, optimal design, intelligent control, fast trajectory planning, collision avoidance
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.
Because of urgent requirements of extreme environmental exploration, unstructured environment transportation, nuclear power plant inspection and military application, it is crucial to develop intelligent mobile robots to replace humans in completing dangerous tasks and improve efficiency in extreme environments. However, when mobile robots work in extreme environments, such as nuclear power plants, the wild, the deep sea and space, they must face the problems of high temperature, high pressure, high humidity and high radiation. To overcome the problems and attain the objective mentioned above, we must consider the following questions: advanced materials manufacturing, reliability analysis, high mobility, accurate motion control under disturbance, enhanced sensing capabilities, strong physical interaction ability, intelligent decision-making under uncertainty, energy saving management system and safe motion planning ability. It should be mentioned that artificial intelligence technology is widely used in robot structure optimization design, motion control, compliant interaction, optimal trajectory planning and decision-making, which achieves good results.
This Research Topic will exhibit and discuss the application of the latest research in artificial intelligence technology to mobile robots working in extreme environments (including, but not limited to: wheeled robots, legged robots, flying robots, underwater robots, etc.) in order to improve the reliability, adaptability, autonomy and maneuverability of such robots. This session aims to bring up the researchers to share new ideas and new methods for enhancing and exploring the potential of mobile robots in extreme environments.
In this Research Topic, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:
• Advanced decision and embodied AI technologies under uncertainty
• AI-based fast trajectory planning and collision avoidance for mobile robots
• Robust state estimation and filtering for mobile robots
• System reliability analysis
• Learning-based motion control technologies in extreme environments
• Human-robot extreme environment interaction
• Advanced materials for extreme conditions
• Energy-efficient design for longevity in harsh environments
• Enhanced sensing capabilities for extreme environments
• Safety protocols and risk management
• Other related issues
Keywords:
Intelligent mobile robot, extreme environment, optimal design, intelligent control, fast trajectory planning, collision avoidance
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.