Embodied Multi-Agent Systems: Perception, Action, and Learning (Machine Learning: Foundations, Methodologies, and Applications)

Liu, Huaping; Liu, Xinzhu; Huang, Kangyao; Guo, Di

ISBN 10: 9819658705 / ISBN 13: 9789819658701

Verlag: Springer, 2025

Beschreibung

Bestandsnummer des Verkäufers I-9789819658701

Bibliografische Details

• Titel: Embodied Multi-Agent Systems: Perception, Action, and Learning (Machine Learning: Foundations, Methodologies, and Applications)
• Verlag: Springer
• Erscheinungsjahr: 2025
• Sprache: Englisch
• ISBN-10: 9819658705
• ISBN-13: 9789819658701
• Einband: Hardcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

While existing books address collaboration control, perception, and learning, there is a gap in focusing on active perception and interactive learning for embodied multi-agent systems.

Über die Autorin bzw. den Autor

Huaping Liu received his Ph.D. degree from Tsinghua University, Beijing, China, in 2004. He is currently a professor in the Department of Computer Science and Technology at Tsinghua University. His research interests include robot perception and learning. Dr. Liu received the National Science Fund for Distinguished Young Scholars and served as the Area Chair for Robotics Science and Systems multiple times. He is a senior editor of the International Journal of Robotics Research. Dr. Liu published the book “Robotic Tactile Perception and Understanding” with Springer in 2018.

Xinzhu Liu received her Ph.D. degree in computer science and technology from Tsinghua University, Beijing, China, in 2024. Her research interests include embodied intelligence, visual perception, and multi-agent collaboration.

Kangyao Huang received his M.Res. in Control and Systems Engineering from the University of Sheffield, Sheffield, U.K., in 2020. He is currently pursuing a Ph.D. degree in computer science and technology at Tsinghua University, Beijing, China. He has interdisciplinary experience and several years of industry experience, providing applied research in cooperation with partners in the information, aerospace, and manufacturing sectors. His research interests include robot learning and swarm robotics.

Di Guo received her Ph.D. degree in Computer Science and Technology from Tsinghua University, Beijing, China, in 2017. She is currently a professor in the School of Artificial Intelligence at Beijing University of Posts and Telecommunications, Beijing. Her research interests include intelligent robots, computer vision, and machine learning.