Work

R44 Sprayhawk - Autonomous Aerial Perception

Computer Vision
Autonomous Systems
Embedded AI

Built the perception pipeline for an autonomous helicopter — fusing cameras, lidar, and radar to enable precision agriculture at scale.

Autonomous Aerial Application

As a Senior Perception Engineer at Rotor AI, I contributed to the R44 Sprayhawk program—a gas-powered unmanned VTOL aircraft designed for precision aerial application in agriculture.

The Platform

The Sprayhawk is built on Robinson Helicopter’s proven R44 platform, adapted for fully autonomous operation:

  • 110-gallon spray capacity
  • 200+ acres/hour production rate
  • 60-foot swath width
  • Single-pilot ground station operation

Perception System Architecture

The aircraft features a comprehensive sensor suite that I helped develop and integrate:

  • 2x Wide FOV Forward Cameras for obstacle detection
  • 1x Downward Camera for terrain analysis
  • 1x Tail Camera for rear awareness
  • Long Range Forward Lidar for obstacle avoidance
  • 360-Degree Collision Lidar for full situational awareness
  • Radar Altimeter for precise height control

Key Technical Contributions

Perception Pipeline

Built the onboard perception pipeline — fusing cameras, lidar, and radar into a unified view of the aircraft’s surroundings for obstacle detection and situational awareness.

Sensor Integration

Helped develop and integrate the multi-sensor suite, from wide-FOV cameras to 360-degree collision lidar, ensuring reliable perception across varying altitudes and lighting conditions.

Impact

  • Enables application of more acres per hour with fewer personnel
  • Reduces pilot exposure during low-altitude operations
  • Maintains consistent spray quality across complex terrain
  • Minimizes downtime with high-capacity payloads