Roadmap

Q1 2026 ✅ — Autonomous AI Dispatch in Simulation

• AI agent integration with priority-based fleet dispatch
• Incident-to-flight pipeline in ~10 seconds
• Web command center with real-time camera feeds and incident queue
• Multi-drone coordination — two drones, simultaneous incidents
• Natural language operator override interface
• Top 5 finish at lablab.ai AI × Robotics Hackathon

---

Q2 2026 — AI Dispatch on Real Hardware

• Migrate companion computer from Raspberry Pi to NVIDIA Jetson
• Deploy AI agent on Jetson companion computer
• End-to-end autonomous dispatch on X500 + Pixhawk over Wi-Fi
• Validate full AI dispatch loop over 4G on physical drone

---

Q3 2026 — Platform Upgrade & Cloud Simulation

• Migrate PX4 SITL simulation to Vultr GPU cloud
• Live camera feed from onboard camera during autonomous flight
• Basic object detection with Google Coral Edge TPU during flight

---

Q4 2026 — Obstacle Avoidance

• Fine-tune object detection model for real use cases (people, vehicles, fire)
• Obstacle avoidance sensor research and selection
• Initial obstacle avoidance integration on real hardware

---

Q1 2027 — Open Framework

• Modular plugin architecture with swappable components
• ArduPilot support alongside PX4
• Developer onboarding docs and quickstart guide

---

Q2 2027 — Core Rewrite

• Rewrite core SDK in Rust for memory safety and performance
• Maintain full API compatibility with existing drone_core interface