![]() ![]() It will also be of interest to applied statisticians and engineers dealing with real-world sensor data. The book is relevant for anyone involved in robotic software development and scientific research. The book's Web site, has additional material. ![]() Most research at that time focused on planning and control problems un-der the assumption of fully modeled, deterministic robot and robot environments. In the 1970s, the predomi-nant paradigm in robotics was model-based. ![]() 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. 1 INTRODUCTION One of the key developmentsin robotics has been the adop-tion of probabilistic techniques. All algorithms are based on a single overarching mathematical foundation. This book introduces the reader to a wealth of techniques and algorithms in the field. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. An introduction to the techniques and algorithms of the newest field in robotics. ![]()
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