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Computer Science
Robotics
Robotics and Autonomous Systems
1. Introduction to Robotics and Autonomous Systems
2. Robot Kinematics and Dynamics
3. Sensors and Perception
4. Localization and State Estimation
5. Planning and Navigation
6. Robot Control
7. Machine Learning for Robotics
8. System Integration and Implementation
9. Safety, Reliability, and Ethics
10. Applications and Case Studies
Sensors and Perception
Sensor Fundamentals
Sensor Classification
Proprioceptive Sensors
Exteroceptive Sensors
Active vs Passive Sensors
Performance Characteristics
Range and Resolution
Accuracy and Precision
Noise Characteristics
Response Time
Environmental Sensitivity
Proprioceptive Sensing
Position and Orientation Sensors
Rotary Encoders
Incremental Encoders
Absolute Encoders
Linear Encoders
Potentiometers
Inertial Measurement Systems
Accelerometers
MEMS Accelerometers
Piezoelectric Accelerometers
Gyroscopes
Mechanical Gyroscopes
MEMS Gyroscopes
Fiber Optic Gyroscopes
Magnetometers
IMU Integration and Calibration
Force and Torque Sensing
Strain Gauge Sensors
Multi-axis Force Sensors
Joint Torque Sensors
Exteroceptive Sensing
Range Measurement Systems
LiDAR Systems
Time-of-Flight Principles
2D Scanning LiDAR
3D LiDAR Systems
Solid-State LiDAR
RADAR Systems
Doppler RADAR
FMCW RADAR
Automotive RADAR
Ultrasonic Sensors
Sonar Principles
Beam Patterns
Multi-element Arrays
Infrared Distance Sensors
Vision Systems
Camera Technologies
CCD and CMOS Sensors
Monocular Cameras
Stereo Camera Systems
RGB-D Cameras
Event-based Cameras
Thermal Imaging
Hyperspectral Imaging
Global Navigation Systems
GPS Fundamentals
GNSS Constellations
Differential GPS
RTK GPS
Indoor Positioning Systems
Tactile and Proximity Sensing
Capacitive Sensors
Resistive Sensors
Optical Proximity Sensors
Sensor Fusion Techniques
Multi-sensor Integration
Complementary Sensor Fusion
Redundant Sensor Fusion
Cooperative Sensor Fusion
Fusion Algorithms
Weighted Averaging
Kalman Filter Fusion
Bayesian Fusion Methods
Dempster-Shafer Theory
Sensor Network Architectures
Computer Vision for Robotics
Image Formation and Processing
Camera Models
Pinhole Camera Model
Lens Distortion Models
Image Coordinate Systems
Image Enhancement Techniques
Feature Detection and Description
Corner Detection
Harris Corner Detector
FAST Corner Detector
Blob Detection
Feature Descriptors
SIFT Features
SURF Features
ORB Features
Binary Descriptors
Image Segmentation
Thresholding Methods
Edge Detection
Canny Edge Detector
Sobel Operator
Region Growing
Watershed Algorithm
Graph-based Segmentation
Object Detection and Recognition
Template Matching
Haar Cascades
HOG Features
Deep Learning Methods
Convolutional Neural Networks
YOLO Architecture
R-CNN Family
3D Vision
Stereo Vision
Epipolar Geometry
Stereo Matching
Disparity Computation
Structure from Motion
Multi-view Geometry
3D Reconstruction Techniques
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2. Robot Kinematics and Dynamics
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4. Localization and State Estimation