Sensor Integration

Overview

Modern robotics relies heavily on sophisticated sensor systems for perception, navigation, and decision-making. My expertise encompasses the full sensor integration pipeline from hardware selection to data processing algorithms.

Sensor Technologies

Vision Systems

• 2D Cameras: High-speed industrial cameras for quality inspection
• 3D Vision: Structured light and time-of-flight systems
• Thermal Imaging: Temperature monitoring and defect detection
• Hyperspectral: Material composition analysis

Proximity & Range

• LiDAR: 2D and 3D scanning for navigation and mapping
• Ultrasonic: Cost-effective distance measurement
• Infrared: Precise short-range detection
• Capacitive: Material-independent proximity sensing

Force & Torque

• 6-Axis Force/Torque: Precise force control for assembly
• Tactile Arrays: Surface pressure distribution
• Current Sensing: Motor load monitoring
• Vibration Analysis: Predictive maintenance

Data Processing Pipeline

1. Signal Conditioning

• Noise filtering and amplification
• Analog-to-digital conversion
• Synchronization and timestamping
• Calibration and compensation

2. Feature Extraction

• Edge detection and contour analysis
• Pattern recognition algorithms
• Statistical analysis
• Frequency domain processing

3. Sensor Fusion

• Kalman filtering for state estimation
• Particle filters for non-linear systems
• Bayesian inference for uncertainty handling
• Deep learning for complex pattern recognition

Implementation Examples

Quality Inspection System

Multi-camera system with AI-powered defect detection:

• 4 high-resolution cameras (5MP each)
• Real-time processing at 30 fps
• Defect detection accuracy: 99.7%
• False positive rate: <0.1%

Autonomous Navigation

LiDAR-based navigation system:

• 360° scanning at 10 Hz
• SLAM algorithm implementation
• Obstacle avoidance with dynamic replanning
• Localization accuracy: ±2 cm

Performance Optimization

Real-Time Processing

• GPU acceleration for vision processing
• FPGA implementation for low-latency control
• Multi-threaded architecture
• Memory optimization techniques

Calibration Procedures

• Automatic calibration routines
• Temperature compensation
• Periodic verification systems
• Remote calibration capabilities