NVU To Launch Live Drone Testing to Validate Sim Results
| Stock | Nanoveu Ltd (NVU.ASX) |
|---|---|
| Release Time | 7 Oct 2025, 8:25 a.m. |
| Price Sensitive | Yes |
NVU To Launch Live Drone Testing to Validate Sim Results
- EMASS to begin on-air endurance validation of ECS-DoT on Crazyflie nano-drones
- Phase 2 simulation results showed up to 85% endurance gains without hardware changes
- Parallel testing to benchmark GPS-free indoor navigation using minimal sensors
Nanoveu Limited, through its subsidiary Embedded A.I. Systems Pte Ltd (EMASS), is commencing live flight trials to validate the endurance gains of its ECS-DoT technology in real-world conditions, initially on palm-sized Crazyflie nano-drones. This follows Phase 2 simulation results which demonstrated substantial flight-time improvements of up to 80% for quadcopters, 75% for hexacopters, and 85% for octocopters, without altering batteries, propulsion, or airframes. The program will replicate the Phase 2 control policies in real time, verify sub-milliwatt closed-loop operation under natural environmental variability, and generate on-air results to confirm the simulated endurance improvements. In parallel, EMASS will benchmark GPS-free indoor navigation using a minimal sensor suite (e.g., a single monocular camera and IMU) powered entirely by ECS-DoT's milliwatt-class on-board AI. This will validate visual-inertial odometry for infrastructure-free motion tracking, AI-driven obstacle avoidance, and adaptive real-time path planning in cluttered environments. The live testing aims to provide evidence that ECS-DoT can deliver reliable autonomy without heavy sensors or external positioning systems, establishing a proof point ahead of evaluating applicability on larger platforms and mission profiles. Following successful Crazyflie validation, EMASS will seek engagements with airframe manufacturers and system integrators to evaluate ECS-DoT on larger drone platforms.
The upcoming navigation & hazard-avoidance benchmarking is designed to establish ECS-DoT as a multi-chip per device drone opportunity spanning endurance, control, perception, and path-planning for commercial, defence, surveillance, and industrial applications.