Tilak.io Launches Resilient Navigation Software for GNSS-Denied Environments
The new software-based positioning system enables UAVs and robotics to operate in contested areas where satellite signals are jammed or unavailable.
Tilak.io has introduced a software-based navigation system designed to provide resilient positioning for unmanned aerial vehicles (UAVs) and robotic platforms. The solution is specifically engineered for operation in environments where Global Navigation Satellite System (GNSS) signals are unavailable, jammed, or spoofed.
To achieve this resilience, the system utilizes graph-based visual SLAM (Simultaneous Localization and Mapping) combined with advanced inertial navigation processing. This combination allows platforms to maintain accurate positioning by mapping their surroundings and tracking movement without relying on external satellite data.
The Challenge of Contested Space
Modern UAVs and autonomous robots rely heavily on GNSS for precise positioning and navigation. However, in military or industrial settings, these signals are often vulnerable. In electronic warfare scenarios, signals can be intentionally blocked or manipulated through spoofing, which can lead to total mission failure or the loss of expensive assets. Additionally, satellite signals cannot penetrate indoor or underground environments, creating "dead zones" for traditional navigation.
This vulnerability has driven a surge in research into GNSS-denied navigation. The industry is increasingly shifting toward sensor-fusion techniques—integrating inertial navigation systems (INS) and visual odometry—to ensure that a platform can "see" and "feel" its way through a mission when the sky is obscured or the signal is compromised.
Operational Implications
The ability to operate without GNSS is critical for the survival and effectiveness of autonomous systems in high-risk scenarios. By implementing a software-based solution that can be integrated into existing robotic platforms, operators can significantly reduce their reliance on external infrastructure. This shift increases operational security, as the platform no longer requires the specific signals that can be tracked or jammed by adversaries.
Furthermore, such software allows for expanded mission profiles, enabling robots to transition seamlessly from open-air satellite navigation to complex indoor or subterranean environments without losing orientation.
Future Outlook
As electronic warfare capabilities evolve, the demand for software-defined resilience is expected to grow. The industry is watching how these SLAM-based systems scale across different platform sizes and environmental conditions. Future developments will likely focus on further reducing the computational overhead of visual SLAM to allow for deployment on smaller, power-constrained edge devices.