Control Systems and Vision in Robotics
By Ashwin Hegde
Length12h 52m
About this audiobook
"Control Systems and Vision in Robotics" embarks on a journey into the realm of robotics, vision, and control, meticulously illuminating the intricate interplay between these cutting-edge disciplines. In an era defined by technological innovation, the integration of robotics, computer vision, and control systems is reshaping industries from manufacturing to healthcare, transportation to entertainment.
This book serves as a beacon, guiding readers through fundamental principles, advanced methodologies, and real-world applications that underscore the transformative potential of this convergence. From the theoretical underpinnings of robot kinematics and dynamics to the practical implementation of vision-based perception algorithms and feedback control strategies, each chapter offers comprehensive explorations of key concepts, supplemented by illustrative examples and hands-on exercises.
Whether you're a seasoned researcher, a curious student, or a forward-thinking practitioner, this book equips you with the knowledge and skills needed to tackle complex challenges and push the boundaries of possibility in the dynamic field of robotics and automation. Join us on this exhilarating expedition, where theory meets practice and innovation knows no bounds.
Audiobook details
GenreTechnology, Science and Nature
Length12 hrs 52 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateFeb 20, 2025
LanguageEnglish
Table of contents
1CHAPTER 1 Introduction to Robotics
395.2 Feature Extraction and Matching
21.1 Definition and Scope of Robotics
405.2.1 Feature Detection
31.2 History of Robotics
415.3.2 Feature Descriptors
41.3 Components of Robotic Systems
425.3.3 Feature Matching Algorithms
51.4 Applications of Robotics
435.3.4 Feature-Based Registration and Alignment
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6CHAPTER 2 Kinematics of Robots
445.3.5 Deep Learning Approaches
72.1 Degrees of Freedom and Motion Types
455.5 Visual Servoing and Hand-Eye Calibration
82.2 Forward Kinematics
46CHAPTER 6 Robotic Manipulation
92.1.1 Denavit-Hartenberg Parameters
476.1 End-Effector Design and Grippers
102.1.2 Homogeneous Transformation Matrices
486.2 Forward and Inverse Kinematics for Manipulators
112.1.3 Forward Kinematics Solutions for Serial Manipulators
496.3 Path Planning and Collision Avoidance
122.1.4 Closed-form Solutions vs. Numerical Methods
506.4 Grasping and Manipulation Strategies
132.1.5 Forward Kinematics for Parallel Manipulators
516.5 Cooperative Manipulation and Multi-Robot Systems
142.3 Inverse Kinematics
52CHAPTER 7
152.4 Jacobian Matrix and Velocity Kinematics
53Mobile Robots and Navigation
162.5 Singularities and Workspace Analysis
547.1 Mobile Robot Architectures
17CHAPTER 3 Dynamics and Control of Robots
557.2 Localization and Mapping (SLAM)
183.1 Newton-Euler Formulation
567.3 Path Planning and Obstacle Avoidance
193.2 Lagrange-Euler Formulation
577.4 Simultaneous Localization and Mapping (SLAM)
203.3 Dynamic Equations of Motion
587.5 Multi-Robot Coordination and Swarm Intelligence
213.3.1 Euler-Lagrange Equations
59CHAPTER 8 Human-Robot Interaction
223.3.2 Newton-Euler Equations
608.1 Interface Design
233.3.3 Dynamic Modeling of Serial and Parallel Robots
618.2 Teleoperation and Shared Control
243.3.4 Dynamic Parameters Estimation
628.3 Collaborative Robotics in Industry
253.3.5 Dynamic Control Algorithms
638.4 Ethical Considerations
263.4 Feedback Control Techniques
64CHAPTER 9 Robot Learning and Adaptation
273.5 Trajectory Planning and Control Strategies
659.2 Imitation Learning and Apprenticeship
28CHAPTER 4 Sensors and Perception in Robotics
669.3 Transfer Learning in Robotics
294.2.1 Intrinsic and Extrinsic Calibration
679.4 Adaptive Control and Online Learning
304.2.2 Calibration Techniques
689.5 Cognitive Robotics and Developmental Robotics
314.2.3 Sensor Fusion Techniques
69CHAPTER 10 Robot Applications in Industry and Beyond
324.2.4 Calibration Tools and Software
7010.1 Industrial Robotics
334.2.5 Challenges in Sensor Fusion
7110.2 Service Robotics
344.3 Localization and Mapping (SLAM)
7210.3 Agricultural Robotics
354.4 Object Recognition and Tracking
7310.4 Space Robotics
364.5 Machine Learning in Perception
7410.5 Future Trends and Emerging Applications
37CHAPTER 5 Robot Vision Systems
75Glossary
385.1 Imaging Basics
76Index
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