Sebastian Thrun Reihenfolge der Bücher

Robotics is experiencing a significant transformation, shifting from a primarily industrial focus to engaging more with human environments. Emerging robots are designed to interact, assist, and explore alongside people, increasingly impacting daily lives. The Springer Tracts in Advanced Robotics (STAR) aims to share the latest significant and high-quality advancements in the field, fostering collaboration and exchange among researchers to drive progress in this rapidly evolving area. The International Symposium on Robotics Research (ISRR), a pioneering event in robotics, has made fundamental contributions over the past two decades. Since STAR's inception, ISRR and other thematic symposia have provided important platforms for enhancing connections within the robotics community. This twelfth edition of Robotics Research, edited by Sebastian Thrun, Rodney Brooks, and Hugh Durrant-Whyte, features a 14-part volume that encompasses a wide array of topics in robotics. The contributions offer comprehensive insights into the current state of research, addressing both theoretical foundations and technological advancements, as well as exploring traditional and innovative application areas.

Since its inception in 1996, FSR, the biannual „International Conference on Field and Service Robotics“ has published archival volumes of high reference value. This unique collection is the post-conference proceedings of the 4 th FSR in Lake Yamanaka, Japan at July 2003. This book edited by Shin’ichi Yuta, Hajime Asama, Sebastian Thrun, Erwin Prassler and Takashi Tsubouchi is rich by topics and authoritative contributors and presents the current developments and new directions in field and service robotics. The contents of these contributions represent a cross-section of the current state of robotics research from one particular aspect: field and service applications, and how they reflect on the theoretical basis of subsequent developments. Pursuing technologies aimed at realizing skilful, smart, reliable, robust field and service robots is the big challenge running throughout this focused collection.

An introduction to the techniques and algorithms of the newest field in robotics. Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.

Focusing on lifelong learning, the book explores how learners encounter diverse tasks that create synergy among their experiences. It introduces explanation-based neural network learning (EBNN), a machine learning algorithm designed to leverage knowledge from previous tasks to enhance generalization in new ones. By utilizing accumulated domain knowledge, EBNN achieves more accurate generalization with less data compared to other methods, making it a powerful tool in machine learning.