3d Scene Modeling And Robotics Interaction

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3D Scene Modeling and Robotics Interaction

This book focuses on the intelligent perception and interaction module in intelligent robotic systems, establishes a multidisciplinary cross-fertilization knowledge system, explores the related technology frontiers and research frontiers as comprehensively as possible from the perspective of scene modeling and understanding, and develops a practical exposition of practical application tasks such as robotic navigation, obstacle avoidance, and grasping. The main contents of this book include 3D reconstruction, scene exploration, scene understanding, robot navigation and obstacle avoidance, robot grasping and comprehensive project practice. Combining theory and practice, the book contains both basic algorithms and covers the latest technologies with detailed code or pseudo-code resources. This book can be used as a teaching reference book for information and intelligence related majors in higher education institutions, computer graphics, computer vision and intelligent robotics and other related fields, as well as a reference book for technicians engaged in related fields. This book takes intelligent robots as the carrier, focuses on the technologies of environment perception and understanding and applying them to practical tasks such as robot navigation, obstacle avoidance and grasping. The book consists of six chapters. Chapters 1 to 3 provide a comprehensive introduction to the development and application of scene modeling and understanding technologies, including 3D reconstruction, scene exploration, and scene understanding. Chapters 4 and Chapter 5 provide a comprehensive introduction to the development and application of robot perception technologies, including visual relocalization and robot navigation, obstacle avoidance and grasping. Chapter 6 introduces comprehensive project practice with 3D scene modeling and understanding for robot tasks as an example, which facilitates readers to have a comprehensive understanding and mastery of theory and practice. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.
Issues and Challenges of Intelligent Systems and Computational Intelligence

This carefully edited book contains contributions of prominent and active researchers and scholars in the broadly perceived area of intelligent systems. The book is unique both with respect to the width of coverage of tools and techniques, and to the variety of problems that could be solved by the tools and techniques presented. The editors have been able to gather a very good collection of relevant and original papers by prominent representatives of many areas, relevant both to the theory and practice of intelligent systems, artificial intelligence, computational intelligence, soft computing, and the like. The contributions have been divided into 7 parts presenting first more fundamental and theoretical contributions, and then applications in relevant areas.