30 SFS Robotic Targets

The 30th Contracting Squadron is issuing a Notice of Intent to Sole Source for the procurement of advanced Humanoid Engageable Kinetic Training Robot (HEKTR) systems. These systems, manufactured by MVP Robotics, are designed to provide realistic, live-fire training scenarios that improve the readiness and effectiveness of Security Forces personnel. The HEKTR systems must feature a 3-dimensional armored target design, real-time shot detection, human-like motion, modular design, advanced sensor system, customizable orientation, realistic response, battery life of at least eight hours, easy replacement, and synchronized operation. Interested parties must submit written capability statements demonstrating their ability to meet these requirements. Some key features of the HEKTR systems include: • 3-Dimensional Armored Target: The HEKTR must feature a 3-dimensional armored target design. • Real-Time Shot Detection: The system must provide real-time 360° shot detection with instant feedback through a mobile app interface. • Human-Like Motion: Targets must simulate human motion with speeds up to 18 mph, controlled via a simple remote control. • Modular Design: The system should have modular, field-replaceable humanoid targets suitable for both outdoor terrain and indoor close-quarter engagements. • Advanced Sensor System: Targets must contain specialized sensor systems within a self-healing body, built around a circular reinforced plastic spine for durability. • Customizable Orientation: The circular spine design should allow operators to change target orientation, presenting various profiles to shooters. • Realistic Response: Targets must be capable of "falling down" when shot, simulating a realistic engagement scenario. • Battery Life: The system should have a minimum battery life of eight hours or more. • Easy Replacement: All targets should be consumable and easily replaced within seconds. • Synchronized Operation: Multiple systems must be able to sync and operate together for complex training scenarios.