Carbon Robotics Tech Stack
AI-powered laser weeding system for specialty crop growers
Carbon Robotics manufactures the LaserWeeder G2, a field robotics platform combining computer vision, deep learning, and laser systems to autonomously identify and eliminate weeds in large-scale crops. The tech stack reveals a hardware-first company: embedded systems (C++, FreeRTOS, UART, I2C), mechanical CAD (SolidWorks, Ansys), sensor integration (MIPI CSI-2), and PyTorch-based ML pipelines — paired with manufacturing and field-deployment pain points (scaling production, thermal performance, field reliability) that dominate the active project list. Engineering dominates hiring (16 of 27 active roles), with immediate focus on sensor integration, cooling systems architecture, and mobile farmer-facing applications.
Tech Stack 53 technologies
What Carbon Robotics Is Building
◆Challenges
- Labor shortages
- Rising costs
- Scaling production for field deployment
- Preventative maintenance and repairs
- Scaling manufacturing processes
- Thermal performance gaps
- Balancing performance reliability serviceability
- Complex ai models
- Data integrity issues
- Field test reliability
▲Active Projects
- Laserweeder sensor integration
- Laser weeder
- Model labeling data collection
- Atk hardware system
- Service ticket management for service territory
- Mobile farmer facing applications
- Seamless robot operations
- Scaling manufacturing processes
- Prototype electrical test fixtures
- Architect complete cooling systems for diesel engines, generators, motors, inverters, batteries, hydraulics, laser, computer, and auxiliary systems
