United States adversaries are advancing unmanned systems (UxS) at an exponential
rate. New advancements in lightweight intelligence, surveillance, reconnaissance
(ISR) targeting sensors, size, weight, and power (SWAP) computational payloads,
machine learning (ML) and artificial intelligence (AI), have generated an
advanced threat to U.S forces. The recent conflict in Ukraine illustrates the
usage of lethal, weaponized UxS at scale in both conventional and irregular
warfare and demonstrates the need for robotic systems capable of autonomous
precision targeting and kinetic defeat. [1]
The Wolf Pack project aims at developing modular weapons payloads (MWP) for
quadruped unmanned ground vehicles (Q-UGV). The MWP system would integrate
precision targeting sensors, networked lethality software, narrow AI/ML
precision trackers, and advanced fire control with weapon systems such as rifles
(M4), anti-armor (AT-4) and tube lunched systems (40mm loitering munition). The
MWP system would run on embedded, real-time, at the edge, computing modules
where SWAP is very challenging. The Wolf Pack would be integrated across
distributed lethal networks to enable collaborative and coordinated lethal
effects.