Useful Links
Engineering
Mechanical Engineering
Robotics and Mechatronics
1. Introduction to Robotics and Mechatronics
2. Foundational Mathematics and Physics
3. Mechanical Systems in Robotics
4. Electronic Systems and Components
5. Sensors and Perception Systems
6. Actuators and Drive Systems
7. Control Systems Engineering
8. Computation and Intelligence
9. System Integration and Applications
Sensors and Perception Systems
Principles of Sensing
Sensor Characteristics
Range
Resolution
Accuracy
Precision
Linearity
Sensitivity
Hysteresis
Response Time
Drift and Stability
Sensor Calibration
Calibration Procedures
Error Sources
Compensation Techniques
Sensor Types and Applications
Proprioceptive Sensors
Encoders
Incremental Encoders
Absolute Encoders
Optical Encoders
Magnetic Encoders
Resolvers
Construction and Operation
Signal Processing
Inertial Measurement Units
Accelerometers
Capacitive Accelerometers
Piezoelectric Accelerometers
Gyroscopes
Mechanical Gyroscopes
MEMS Gyroscopes
Magnetometers
Hall Effect Magnetometers
Fluxgate Magnetometers
Motor Current Sensing
Current Transformers
Hall Effect Sensors
Shunt Resistors
Exteroceptive Sensors
Proximity Sensors
Infrared Sensors
Ultrasonic Sensors
Capacitive Sensors
Inductive Sensors
Range Sensors
LiDAR
Time-of-Flight LiDAR
Phase-Shift LiDAR
Scanning Mechanisms
Time-of-Flight Cameras
Structured Light Sensors
Radar Sensors
Doppler Radar
FMCW Radar
Tactile Sensors
Force Sensors
Load Cells
Strain Gauges
Torque Sensors
Pressure Sensors
Piezoresistive Sensors
Capacitive Pressure Sensors
Vision Systems
Cameras
Monocular Cameras
Stereo Cameras
RGB-D Cameras
Event Cameras
Lenses and Optics
Focal Length
Aperture
Distortion Correction
Image Sensors
CCD Sensors
CMOS Sensors
Stereo Vision
Triangulation
Disparity Maps
Depth Sensing
Structured Light
Time-of-Flight
Signal Conditioning and Processing
Amplification
Signal Amplifiers
Gain Control
Filtering
Analog Filtering
RC Filters
LC Filters
Digital Filtering
FIR Filters
IIR Filters
Noise Reduction
Shielding Techniques
Grounding Strategies
Signal Averaging
Isolation Techniques
Sensor Fusion
Kalman Filter
Linear Kalman Filter
Prediction Step
Update Step
Covariance Matrices
Extended Kalman Filter
Nonlinear System Modeling
Jacobian Linearization
Unscented Kalman Filter
Particle Filter
Monte Carlo Methods
Resampling Techniques
Applications of Sensor Fusion
Navigation Systems
State Estimation
Multi-Sensor Integration
Previous
4. Electronic Systems and Components
Go to top
Next
6. Actuators and Drive Systems