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Space Robotics and Autonomous Systems: Technologies, Advances and Applications (Control, Robotics and Sensors) (en Inglés)
Yang Gao
(Ilustrado por)
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Institution of Engineering & Technology
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Space Robotics and Autonomous Systems: Technologies, Advances and Applications (Control, Robotics and Sensors) (en Inglés) - Gao, Yang
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Reseña del libro "Space Robotics and Autonomous Systems: Technologies, Advances and Applications (Control, Robotics and Sensors) (en Inglés)"
Space robotics and autonomous systems (Space RAS) play a critical role in the current and future development of mission-defined machines that can survive in space while performing exploration, assembly, construction, maintenance and servicing tasks. They represent a multi-disciplinary emerging field at the intersection of space engineering, terrestrial robotics, computer science and materials. The field is essential to humankind's ability to explore or operate in space; providing greater access beyond human spaceflight limitations in the harsh environment of space, and offering greater operational handling that extends astronauts' capabilities. Space RAS covers all types of robotics for the exploration of planet surfaces as well as robotics used in orbit around the Earth and the sensors needed by the platform for navigation or control. Written by a team of International experts on space RAS, this book covers advanced research, technologies and applications including: sensing and perception to provide situational awareness for space robotic agents, explorers and assistants; mobility to reach and operate at sites of scientific interest on extra-terrestrial surfaces or free space environments using locomotion; manipulations to make intentional changes in the environment or objects using locomotion such as placing, assembling, digging, trenching, drilling, sampling, grappling and berthing; high-level autonomy for system and sub-systems to provide robust and safe autonomous navigation, rendezvous and docking capabilities and to enable extended-duration operations without human interventions to improve overall performance of human and robotic missions; human-robot interaction and multi-modal interaction; system engineering to provide a framework for understanding and coordinating the complex interactions of robots and achieving the desired system requirements; verification and validation of complex adaptive systems; modelling and simulation; and safety and trust.
