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About the Book

Mathematics for Robotics

By Satyam Mishra, Dr. Vishwanath Bijalwan, Dr. Vijay Bhaskar Semwal, and Ms. Phung Thao Vi

Unlock the Mathematical Foundations Behind Robotic Intelligence.

This book isn't just about formulas: it's about building the brain behind the machine. Mathematics for Robotics is your essential guide to understanding the core mathematical tools that power modern robotics, from coordinate geometry and vector calculus to probability and control theory.

Whether you're a student diving into robotics for the first time, a researcher brushing up your foundations, or an engineer building intelligent systems, this book offers:

✔️ Clear, structured explanations of core math concepts

✔️ Robotics-focused applications of each topic

✔️ Visual diagrams and intuitive analogies

✔️ Practice examples that link theory to real-world movement

Crafted by a passionate team of educators and researchers from diverse fields, this book turns abstract mathematics into tangible robotic insight. You'll walk away not just knowing the math: but understanding why it matters and how to apply it.

Perfect for:

Robotics enthusiasts • Engineering students • AI and ML learners • Educators bridging math and tech

Take the leap from math to motion. Let your robots think: mathematically.


About the Author

Satyam Mishra’s avatar Satyam Mishra

@satyam_cser

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Satyam Mishra is an AI researcher, applied mathematician, and systems builder specializing in neural architectures, semantic dynamics, and operator theory. With over 20 peer-reviewed research publications in Q1 SCIE journals and A* conferences, his work bridges natural language processing, Koopman dynamics, spectral learning, scientific machine learning, and explainable AI.

He has led multiple international AI projects across Switzerland, Vietnam, and India, developed production-grade GenAI systems, holds multiple patents on Koopman-based NLP, 3D Sparse Transformers, and spectral learning, and built AI-powered educational platforms. His research includes contributions to operator-based attention, symbolic drift modeling, and real-time multimodal inference.

Satyam currently serves as a Senior Tech Lead at Vision Mentors, with prior affiliations to SISLAB, VNU Hanoi and as an Independent AI Consultant/Researcher at Verysell AI (Switzerland). He earned his Bachelor’s degree (High Distinction/Valedictorian) from Vietnam National University, Hanoi.

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