Robotics Foundations: Understanding Intelligent Machines and the Future of Robotics

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Robotics Foundations: Understanding Intelligent Machines and the Future of Robotics

Author: Landon Pierce

Description: A warehouse robot that can navigate aisles and pick packages uses more computing power than the Apollo spacecraft. Yet most people have only a vague idea of how these machines actually work. Robotics Foundations bridges that gap, offering a clear, systems-level understanding of modern intelligent machines—no math required. This book by Landon Pierce takes you inside the loop: how sensors perceive, how actuators move, and how software decides. It doesn't just describe components; it shows how they integrate into the feedback cycles that create autonomous behavior. From the first industrial arms to AI-powered humanoid robots, you'll trace the evolution and understand the engineering principles behind each leap. What makes this book different is its practical, example-driven approach. A continuous warehouse robot case study evolves with you—starting as a simple barcode-guided cart and progressing to an AI-driven fleet coordinator. Every concept is grounded in real-world applications you can recognize from companies like Tesla, Amazon, and Boston Dynamics. • Understand the autonomy spectrum: from reactive reflexes to deliberative planning. • See how sensors (cameras, LiDAR, radar) and actuators (motors, hydraulics) form the robot's body. • Grasp how machine learning and computer vision give robots the ability to adapt and learn. Whether you're a technology enthusiast curious about how robots really work, a university student building a conceptual foundation, or a professional in logistics or manufacturing who needs to evaluate automation systems, this book gives you the vocabulary and mental models to think like a roboticist. Rigorously avoiding equations and jargon while maintaining intellectual depth, Robotics Foundations is your gateway to understanding the intelligent machines that are reshaping our world. Step inside the loop—and see robotics with new eyes.

AI summary: Robotics Foundations provides a systems-thinking introduction to robotics, covering perception, decision-making, and actuation through real-world examples and a warehouse case study, targeting beginners without a math background.

Phù hợp với

Technology enthusiasts, students, and software engineers seeking a conceptual foundation in robotics

Chân dung độc giả

A software engineer or tech enthusiast who wants to understand robot systems intuitively, without advanced math, to prepare for further study or practical evaluation.

Nhu cầu tìm kiếm

Readers looking for an accessible, non-mathematical introduction to robotics and autonomous systems to build a systems-thinking foundation.

Loại nội dung

introductory non-fiction technology guide

Key topics: robot anatomy, sensors and actuators, embedded computing, robot decision-making, AI machine learning in robotics, industrial and warehouse robotics, humanoid robots, human-robot collaboration, autonomous vehicles, AI-native robots

Mục lục

1. Introduction (introduction)
2. The Rise of Robots (part)
3. What Is a Robot? (chapter)
4. Defining Robotics (section)
5. Machines vs Robots (section)
6. Automation vs Autonomy (section)
7. The Evolution of Robotics (section)
8. Why Robotics Matters (section)
9. A Brief History of Robotics (chapter)
10. Early Mechanical Machines (section)
11. Industrial Automation (section)
12. The First Industrial Robots (section)
13. The Robotics Revolution (section)
14. The Age of Intelligent Machines (section)
15. The Modern Robotics Landscape (chapter)
16. Industrial Robots (section)
17. Warehouse Robots (section)
18. Service Robots (section)
19. Autonomous Vehicles (section)
20. Humanoid Robots (section)
21. The Building Blocks of Robots (part)
22. The Anatomy of a Robot (chapter)
23. Mechanical Structure (section)
24. Electronics (section)
25. Sensors (section)
26. Actuators (section)
27. Software (section)
28. Sensors: How Robots Perceive the World (chapter)
29. Cameras (section)
30. LiDAR (section)
31. Radar (section)
32. IMUs (section)
33. Force and Touch Sensors (section)
34. Actuators: How Robots Move (chapter)
35. Motors (section)
36. Servos (section)
37. Hydraulic Systems (section)
38. Pneumatic Systems (section)
39. Emerging Actuation Technologies (section)
40. Embedded Computing (chapter)
41. Microcontrollers (section)
42. Single Board Computers (section)
43. Real-Time Systems (section)
44. Edge Computing (section)
45. Robot Controllers (section)
46. Robot Intelligence (part)
47. How Robots Make Decisions (chapter)
48. Reactive Systems (section)
49. Rule-Based Systems (section)
50. Planning Systems (section)
51. Intelligent Behavior (section)
52. Autonomy Levels (section)
53. Artificial Intelligence in Robotics (chapter)
54. Machine Learning (section)
55. Computer Vision (section)
56. Reinforcement Learning (section)
57. Foundation Models (section)
58. AI-Powered Robotics (section)
59. Robot Software Architecture (chapter)
60. Layers of Robot Software (section)
61. Communication Systems (section)
62. Decision Systems (section)
63. Safety Systems (section)
64. Modern Robot Architectures (section)
65. Robots in the Real World (part)
66. Industrial Robotics (chapter)
67. Manufacturing (section)
68. Automotive Industry (section)
69. Electronics Manufacturing (section)
70. Quality Control (section)
71. Smart Factories (section)
72. Warehouse Robotics (chapter)
73. Automated Storage (section)
74. Picking Robots (section)
75. Mobile Robots (section)
76. Fulfillment Centers (section)
77. The Amazon Model (section)
78. Service Robotics (chapter)
79. Healthcare Robots (section)
80. Hospitality Robots (section)

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