The textbook "Active Sensor Planning for Multiview Vision Tasks" offers a comprehensive examination of active visual perception and the strategic control of perception processes. It addresses the challenges associated with active sensor planning and demonstrates how robots can purposefully alter their visual parameters to perform perception tasks more efficiently. The authors, including Shengyong Chen, Y. F. Li, Jianwei Zhang, and Wanliang Wang, present various methods for optimizing sensor placement and developing perception plans that encompass both model-based and non-model-based approaches. By employing genetic algorithms and graph algorithms, an effective strategy is developed for determining optimal sensor positions and planning view sequences. This book is a valuable resource for professionals and students in the fields of engineering and IT who are engaged with the latest developments in active visual perception.