Yang Gao – författare

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.

This book constitutes the refereed proceedings of the Second International Conference on Distributed Artificial Intelligence, DAI 2020, held in Nanjing, China, in October 2020. The 9 full papers presented in this book were carefully reviewed and selected from 22 submissions.

This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016.

This book constitutes the refereed proceedings of the 18th Annual Conference on Towards Autonomous Robotics, TAROS 2017, held in Guildford, UK, in July 2017. The 43 revised full papers presented together with 13 short papers were carefully reviewed and selected from 66 submissions.

This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2017, held in Guilin, China, in October/November 2017. The 65 full papers presented were carefully reviewed and selected from 110 submissions.

This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2013, held in Hefei, China, in October 2013. The 76 revised full papers presented were carefully reviewed and selected from more than 130 submissions. These papers provided a valuable collection of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, neural networks, probabilistic modelling, swarm intelligent, multi-objective optimisation, and practical applications in regression, classification, clustering, biological data processing, text processing, video analysis, including a number of special sessions on emerging topics such as adaptation and learning multi-agent systems, big data, swarm intelligence and data mining, and combining learning and optimisation in intelligent data engineering.

This book constitutes the refereed proceedings of the First CCF International Conference on Artificial Intelligence, CCF-ICAI 2018, held in Jinan, China in August, 2018. The 17 papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on unsupervised learning, graph-based and semi-supervised learning, neural networks and deep learning, planning and optimization, AI applications.

This book constitutes the proceedings of the 8th CCF Conference on Big Data, BigData 2020, held in Chongqing, China, in October 2020. The 16 full papers presented in this volume were carefully reviewed and selected from 65 submissions.

This book constitutes the proceedings of the 9th CCF Conference on Big Data, BigData 2021, held in Guangzhou, China, in January 2022. They present recent research on theoretical and technical aspects on big data, as well as on digital economy demands in big data applications.