NVU Secures Exclusive License to Autonomous Drone Swarm IP
| Stock | Nanoveu Ltd (NVU.ASX) |
|---|---|
| Release Time | 17 Feb 2026, 9:22 a.m. |
| Price Sensitive | Yes |
NVU Secures Exclusive License to Autonomous Drone Swarm IP
- Nanoveu secures exclusive global licensing rights to four advanced autonomous navigation and formation control inventions
- Innovations combine onboard vision and ultra-wide-band (UWB) technologies for multi-drone swarm functions in GPS-absent/constrained settings
- Integration with EMASS' ECS-DoT ultra-low-power control engine and AIoT roadmap to advance Nanoveu's drone autonomy stack
Nanoveu Limited (ASX: NVU, OTCQB: NNVUF) has entered into an exclusive evaluation license agreement - with the option to convert to an exclusive worldwide license - with Nanyang Technological University, Singapore (NTU Singapore), for four inventions in autonomous localisation and formation-control technologies. The innovations combine onboard vision and ultra-wide-band (UWB) technologies to enable multi-drone swarm functions in GPS-absent/constrained settings, mitigating the limitations of GPS-based navigation. The four inventions provide complementary approaches to localisation and swarm coordination, including monocular vision-based relative localisation, range-based localisation using a rotating UWB tag, leader-follower formation control using RGB-D with limited FOV, and single-anchor UWB-assisted 3D localisation. Integrated with Nanoveu's ECS-DoT ultra-low-power control engine and AIoT roadmap, the technologies hold the potential to enable a complete autonomy stack (endurance + navigation + swarm intelligence) for aerial and ground robotics across logistics and industrial inspection, with applicability to emerging autonomous ecosystems.
Nanoveu will advance toward integrating the licensed technologies with its ECS-DoT energy-efficient AI control engine, engaging with global drone manufacturers and avionics suppliers, conducting live field trials, and expanding the IP portfolio around integrated swarm autonomy frameworks.