
Foundations of Robotics by Bruno Siciliano
This textbook explores the foundational principles of robotics, focusing on its core pillars: modeling, planning, and control. Balancing mathematical rigor and physical intuition, a coherent formalism is established and used throughout the book. At the same time, technological challenges and application-driven solutions are given appropriate consideration.
With a general perspective that includes both fixed-base manipulators and mobile robots, the book presents the essential tools for understanding key topics such as kinematics, statics, trajectory planning, dynamics, and motion control. In its second part, more advanced topics are addressed, including wheeled robots, visual control, motion planning, force control, flexible robots and cooperative manipulation.
To support the learning process, appendices provide essential background material on linear algebra, mechanics, differential geometry, control theory, and graph search algorithms. The practical implementation of the methodologies is emphasized throughout, with over 50 worked examples and case studies, many supported by simulations. Additionally, more than 190 end-of-chapter problems are included, with a Solutions Manual available for instructors adopting the book for their courses.
Foundations of Robotics is designed for use as a textbook in both undergraduate and graduate robotics courses within engineering programs, making it an ideal resource for students and educators alike.
A list of errata for this book can be found at https://drive.google.com/file/d/1dwZ6LvN4hf2lfE4CGft3HtCI54Ga6xq9
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Robotics
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Robust Control Design with MATLAB (R)
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Control Engineering
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Lectures in Feedback Design for Multivariable Systems
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Digital Self-tuning Controllers
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Statistical Signal Processing
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Discrete-time Stochastic Systems
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Principles of Adaptive Filters and Self-learning Systems
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Soft Computing
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Control of Dead-time Processes
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Model-Reference Adaptive Control
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Analysis and Design of Control Laws for Advanced Driver-Assistance Systems
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Fault Detection and Diagnosis in Industrial Systems
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Hybrid Dynamical Systems
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Genetic Algorithms
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Discrete-time Signal Processing
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Analysis and Control of Nonlinear Process Systems
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Control of Robot Manipulators in Joint Space
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Introduction to Optimal Estimation
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Automatic Control with Experiments
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Model Predictive Control
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Neural Networks for Modelling and Control of Dynamic Systems
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Control Engineering: MATLAB Exercises
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Stabilization and Regulation of Nonlinear Systems
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Receding Horizon Control
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Control Systems with Input and Output Constraints
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Modeling and Control of Discrete-event Dynamic Systems
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Multivariable Control Systems
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System Identification
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Power Electronic Converters Modeling and Control
| SKU | Unavailable |
| ISBN 13 | 9783031855221 |
| ISBN 10 | 3031855221 |
| Title | Foundations of Robotics |
| Author | Bruno Siciliano |
| Series | Advanced Textbooks In Control And Signal Processing |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer International Publishing AG |
| Year published | 2025-09-07 |
| Number of pages | 719 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |





























