Duan / Tan / Yuan Advances in Bio-inspired System and Robotics

Proceedings of 2025 International Conference on Bio-inspired System and Robotics, Volume 2
Erscheinungsjahr 2026
ISBN: 978-981-9230-86-0
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 347 Seiten

Reihe: Mechanical Engineering (R0)

This book offers a comprehensive exploration of bio-inspired systems and robotics by integrating theoretical foundations with cutting-edge applications and real-world case studies.Departing from traditional approaches, it uniquely emphasizes interdisciplinary methodologies that bridge automation, Bio-inspired System, and Unmanned System, while spotlighting regional advancements from Asia to provide a global perspective on innovation. Covering a wide range of topics including but not limited to,Bioinspired Systems Modeling;Robotics Design;Evolutionary Computation and Control;Guidance,Navigation and Control in Robotics;Bioinspired Control Applications;Human-Machine Interfaces;Bioinspired Marine Systems;Bioinspired Ground Systems;Bioinspired Aeronautical Systems;Bioinspired Astronautical Systems; New Emerging Technologies in Bioinspired Robots etc. Presenting recent advances in the form of illustrations, tables, and text, it also provides detailed information of a number of the studies, to offer readers insights for their own research.

Zielgruppe

Research

Autoren/Hrsg.

Duan, Haibin

Tan, Ying

Yuan, Meng

Inhaltsverzeichnis

Bayesian Evolutionary Optimization with Conditional Value at Risk for Robust Inverter Voltage Control in Power Systems.- Addressing Local Minima in Drone Path Planning with VAPF-TD3.- Proportional Integral Funnel Control-Based RISE Observer for PMSM.- Robust Visual Localization Against UAV Yaw Angle Rotation via Accelerated Feature Matching.- An Improved Deep Learning Network Model for Ore Detection Under Complex Working Conditions.- LLM-Driven Automatic Construction and Resource Optimization for Large-Scale UAV Simulation.- A Review of 100-kW-Class Piston-Based Hybrid Power Systems for Long-Endurance Low-Altitude Aircraft.- Shape optimization of wave energy converter based on the improved grey goose optimization algorithm.

Über Autor(innen)

Prof. Haibin Duan is the Vice Director of the State Key Laboratory of Virtual Reality Technology and Systems and the chair of Technical Committee on Guidance, Navigation and Control (TCGNC), Chinese Society of Aeronautics and Astronautics (CSAA). He received the National Science Fund for Distinguished Young Scholars of China in 2014. He is also enrolled in the Chang Jiang Scholars Program of China. He is currently an Associate Editor of the IEEE Transactions on Cybernetics.

Prof. Ying Tan is the director of Computational Intelligence Laboratory at Peking University, and the inventor of Fireworks Algorithm (FWA). He is the president of the International Association of Swarm and Evolutionary Intelligence (IASEI), and also serves as the Editor-in-Chief of IASEI Transactions on Swarm Intelligence, and International Journal of Computational Intelligence and Pattern Recognition (IJCIPR), the Associate Editor of IEEE Transactions on Cybernetics (CYB), Neural Networks, International Journal of Swarm Intelligence Research (IJSIR), etc.

Meng Yuan received her B.S. degree in new energy science and engineering from the School of Environmental and Energy Engineering of Beijing University of Technology in 2018, and received her M.S.degree in Thermodynamics and Fluid Mechanics from the University of Manchester in 2019. From December 2023 to May 2025, she served as a research assistant at the Low Carbon Energy Laboratory of Tsinghua University, and is currently a researcher of School of Automation Science and Electrical Engineering,Beihang University , Deputy Secretary of Technical Committee on Guidance, Navigation and Control (TCGNC), Chinese Society of Aeronautics and Astronautics (CSAA),and an editor of Guidance, Navigation and Control.