Robotics Algorithms: Optimizing Motion, Perception, and Control in Autonomous Systems (Robotics Engineering and Intelligence)

Thomas, Gareth Morgan

/ ISBN 13: 9798280699243

Published by Independently published, 2025

In. Seller Inventory # ria9798280699243_new

Synopsis:

🧠 Master the Algorithms Powering Tomorrow’s Robots

Robotics Algorithms is your comprehensive guide to the core algorithms that enable modern robots to move, perceive, and think—designed as a glossary-style reference for engineers, researchers, and advanced students who want depth without the fluff.

Whether you're building autonomous drones, surgical bots, industrial manipulators, or multi-agent systems—this book delivers the tools you need to optimize performance at every level of robotic intelligence.

🚀 What You’ll Learn

✅ Precise Motion Planning: Explore A*, RRT, PRM, and real-time optimization techniques to enable collision-free, energy-efficient trajectories—even in complex environments.

✅ Sensor Fusion & SLAM: Fuse vision, lidar, and inertial data with Kalman filters and particle methods for reliable localization and mapping in real-world conditions.

✅ Advanced Control Systems: From PID and feedback linearization to deep reinforcement learning and model predictive control—learn to tame high-dimensional dynamics.

✅ Swarm & Multi-Robot Systems: Implement scalable coordination, decentralized planning, and market-based task allocation in cooperative fleets.

✅ Learning-Enabled Robotics: Integrate supervised, unsupervised, and evolutionary algorithms to create robots that adapt, optimize, and evolve.

✅ Human-Robot Interaction: Develop intuitive, responsive systems with gesture recognition, force feedback, and shared autonomy.

✅ Full-Code Integration: Apply your knowledge using Python, C++, and ROS across simulated and physical platforms including Gazebo, Mujoco, and Webots.

✅ Application-Driven Coverage: Build solutions for autonomous vehicles, medical robots, UAVs, prosthetics, deep-sea rovers, and space exploration.

🔧 Why This Book?

• 📚 Glossary-Driven Format: Skip the filler. Each algorithm is defined, contextualized, and referenced with practical relevance.

• 🧩 Modular Chapters: Jump directly to the domain you’re working on—motion planning, SLAM, control, or multi-robot coordination.

• ⚙️ Engineer's Reference: Ideal for field engineers, roboticists, and AI developers who need fast access to proven methods and implementation notes.

👨💻 For Engineers, Researchers, and Builders of the Future

Whether you're prototyping cutting-edge robots or enhancing existing systems, this book helps you go from concept to implementation with precision and clarity.

Grab your copy of Robotics Algorithms now and start building systems that move, think, and act with purpose.

UPDATE: This book now has a github repository with all source code samples, infographics and more.

From the Editor at Burst Books — Gareth Thomas

A Smarter Kind of Learning Has Arrived — Thinking on Its Own.

Forget tired textbooks from years past. These AI-crafted STEM editions advance at the speed of discovery. Each page is built by intelligence trained on thousands of trusted sources, delivering crystal-clear explanations, flawless equations, and functional examples — all refreshed through the latest breakthroughs.

Best of all, these editions cost a fraction of traditional texts yet surpass expectations. You’re gaining more than a book — you’re enhancing the mind’s performance.

Explore BurstBooksPublishing on GitHub to find technical samples, infographics, and additional study material — a complete hub that supports deeper, hands-on learning.

In this age of AI, leave the past behind and learn directly from tomorrow.

Bibliographic Details

Title: Robotics Algorithms: Optimizing Motion, ...
Publisher: Independently published
Publication Date: 2025
Binding: Soft cover
Condition: New