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- Robots y Sistemas Sensoriales (Spanish Edition) por F. Torres (1 vezes)
- Least Squares Data Fitting with Applications por Per Christian Hansen (1 vezes)
- Bayesian Filtering and Smoothing (Institute of Mathematical Statistics Textbooks) por Simo Särkkä (1 vezes)
- Nonparametric Inference on Manifolds: With Applications to Shape Spaces (Institute of Mathematical Statistics Monographs) por Abhishek Bhattacharya (1 vezes)
- Filtering and System Identification: A Least Squares Approach por Michel Verhaegen (1 vezes)
- Introduction to Applied Optimization por Urmila Diwekar (1 vezes)
- Probabilistic Graphical Models: Principles and Techniques por Daphne Koller (1 vezes)
- Bayesian Signal Processing: Classical, Modern and Particle Filtering Methods por James V. Candy (1 vezes)
- Optimization of Stochastic Systems por Masanao Aoki (1 vezes)
- 3D Robotic Mapping: The Simultaneous Localization and Mapping Problem with Six Degrees of Freedom por Andreas Nüchter (1 vezes)
- Robotics: Modelling, Planning and Control (Advanced Textbooks in Control and Signal Processing) por Bruno Siciliano (1 vezes)
- Numerical Methods for Least Squares Problems por Ake Bjõrck (1 vezes)
- Optimal Design of Experiments (Classics in Applied Mathematics) por Friedrich Pukelsheim (1 vezes)
- FastSLAM: A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics (Springer Tracts in Advanced Robotics) por Michael Montemerlo (1 vezes)
- Robotics and Cognitive Approaches to Spatial Mapping (Springer Tracts in Advanced Robotics) por Margaret E. Jefferies (1 vezes)
- Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneou por Juan Andrade-Cetto (1 vezes)
- Sequential Monte Carlo Methods in Practice (Statistics for Engineering and Information Science) por Arnaud Doucet (1 vezes)
- Optimization: Foundations and Applications por Ronald E. Miller (1 vezes)
- Estimation with Applications to Tracking and Navigation por Yaakov Bar-Shalom (1 vezes)
- Planning Algorithms por Steven M. LaValle (1 vezes)
- Introduction to Autonomous Mobile Robots (Intelligent Robotics and Autonomous Agents) por Roland Siegwart (1 vezes)
- Numerical Optimization por Jorge Nocedal (1 vezes)
- Computational Principles of Mobile Robotics por Gregory Dudek (1 vezes)
- Statistical Decision Theory and Bayesian Analysis por James O. Berger (1 vezes)
- Kernel Methods for Pattern Analysis por John Shawe-Taylor (1 vezes)
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