State Estimation for Robotics

✍ Timothy D. Barfoot 📂 Library 📅 2017 🏛 Cambridge University Press 🌐 English

A key aspect of robotics today is estimating the state, such as position and orientation, of a robot as it moves through the world. Most robots and autonomous vehicles depend on noisy data from sensors such as cameras or laser rangefinders to navigate in a three-dimensional world. This book presents

📁 State Estimation for Robotics

✍ Timothy D. Barfoot 📂 Library 📅 2024 🏛 Cambridge University Press 🌐 English

A key aspect of robotics today is estimating the state (e.g., position and orientation) of a robot, based on noisy sensor data. This book targets students and practitioners of robotics by presenting classical state estimation methods (e.g., the Kalman filter) but also important modern topics s

State Estimation for Robotics: Second Ed

📁 State Estimation for Robotics: Second Edition

✍ Timothy D. Barfoot 📂 Library 📅 2024 🏛 Cambridge University Press 🌐 English

A key aspect of robotics today is estimating the state (e.g., position and orientation) of a robot, based on noisy sensor data. This book targets students and practitioners of robotics by presenting classical state estimation methods (e.g., the Kalman filter) but also important modern topics s

Multimodal Perception and Secure State E

📁 Multimodal Perception and Secure State Estimation for Robotic Mobility Platforms

✍ Rui Jiang, Xinghua Liu, Badong Chen, Shuzhi Sam Ge 📂 Library 📅 2022 🏛 Wiley-IEEE Press 🌐 English

Multimodal Perception and Secure State Estimation for Robotic Mobility PlatformsEnables readers to understand important new trends in multimodal perception for mobile robotics This book provides a novel perspective on secure state estimation and multimodal p

Environment Learning for Indoor Mobile R

📁 Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building

✍ Juan Andrade Cetto, Alberto Sanfeliu 📂 Library 📅 2006 🏛 Springer 🌐 English

This monograph covers theoretical aspects of simultaneous localization and map building for mobile robots, such as estimation stability, nonlinear models for the propagation of uncertainties, temporal landmark compatibility, as well as issues pertaining the coupling of control and SLAM. One of the m

Applied Interval Analysis: With Examples

📁 Applied Interval Analysis: With Examples in Parameter and State Estimation, Robust Control and Robotics

✍ Luc Jaulin PhD, Michel Kieffer PhD, Olivier Didrit PhD, Éric Walter PhD (auth.) 📂 Library 📅 2001 🏛 Springer-Verlag London 🌐 English

At the core of many engineering problems is the solution of sets of equa tions and inequalities, and the optimization of cost functions. Unfortunately, except in special cases, such as when a set of equations is linear in its un knowns or when a convex cost function has to be minimized under co