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

Sinopsis

🧠 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.

✅ 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.

• 📚 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.

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

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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.

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