Psionic and Gambit have announced a partnership to deliver resilient collaborative autonomy for heterogeneous robotic fleets operating in contested environments.
The collaboration integrates Psionic’s high-performance perception and navigation sensors with Gambit’s adaptive, collaborative autonomy software. This integrated capability enables air, ground, and maritime systems to coordinate, navigate, and learn in environments where GPS, communications, and traditional infrastructure may be degraded or unavailable. By combining precision sensing and navigation with distributed, multi-platform autonomy, the companies are working to ensure robotic systems can operate effectively across featureless terrain, contested logistics corridors, and GPS-denied environments.
Josh Giegel, CEO of Gambit, commented, “Current operational demands require autonomous systems that can function reliably in contested and degraded environments. By integrating Psionic’s precision sensing infrastructure with Gambit’s autonomy platform, we’re enabling robotic fleets to coordinate, navigate, and execute missions with greater resilience.”
The combined technologies support several critical applications, including contested logistics, autonomous navigation in degraded and denied environments, distributed precision sensing and mapping, and coordinated multi-platform operations.
Stephen Sanford, CEO at Psionic, added, “Stealthy, unjammable, and unspoofable precision sensing and navigation are foundational to autonomy. Our partnership with Gambit combines precision sensing and navigation with collaborative autonomy to unlock new capabilities for robotic systems operating in demanding environments.”
As autonomous systems continue to proliferate across defense and critical infrastructure sectors, the ability for robotic systems to operate collaboratively and resiliently in challenging environments is becoming increasingly important. This partnership aims to accelerate the deployment of intelligent robotic systems capable of maintaining mission effectiveness even in highly contested operational environments.
