MyRoboPath
electronics13 min readUpdated 2026-03-08Intermediate

Robotics Sensor Interfacing: IMUs, LiDAR, Encoders & Ultrasonic

Learn hardware interfacing, level-shifting, signal filtering, and noise mitigation for 9-axis IMUs, time-of-flight LiDAR, and quadrature optical encoders.

Marcus Vance
Marcus Vance
Mechatronics Hardware Architect

Key Engineering Takeaways

  • Accelerometers measure gravity + linear acceleration; gyroscopes measure angular rate but suffer from integration drift.
  • Quadrature encoders output two 90-degree out-of-phase square waves (Channel A and B), enabling 4x decoding resolution and direction detection.
  • Place 100nF ceramic decoupling capacitors directly adjacent to every sensor VCC pin to eliminate high-frequency ripple.
Prerequisites
  • Digital logic signals
  • I2C and SPI basics

Quadrature Optical & Magnetic Encoders

Quadrature encoders generate two pulse signals $A$ and $B$ shifted by $90^\circ$ electrical degrees. When rotating clockwise, $A$ leads $B$. When rotating counter-clockwise, $B$ leads $A$. By triggering hardware interrupts on **both rising and falling edges** of both channels, you achieve **4X resolution**: $$\text{Effective Counts Per Revolution (CPR)} = \text{Base CPR} \times 4$$ If your motor has a 500 CPR disc connected to a 30:1 gearbox: $$\text{Output Shaft Resolution} = 500 \times 4 \times 30 = 60,000\text{ ticks per rotation!}$$
Tags:#Sensors#IMU#LiDAR#Encoders#I2C#SPI#Hardware Noise