Palladyne AI Secures U.S. Patent for Breakthrough Edge AI Framework Enabling Autonomous Target Recognition and Path Planning

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Palladyne AI (NASDAQ: PDYN), a U.S.-based defense and industrial technology company commercializing embedded AI, collaborative autonomy, and advanced avionics for defense markets, announced the issuance of U.S. Patent 12,517,525 B1, titled “Path Creation, Detection and Prediction Using Primitives,” protecting its proprietary Bayesian Program Learning (BPL) framework for intelligent target recognition, autonomous path planning, and real-time behavioral prediction across multiple types of sensors deployed across multi-domain environments (space, air, land, and maritime).

"We believe our patented BPL framework does three things no conventional AI system can match at the edge: it recognizes targets across multiple sensor types without the cloud, it turns a spoken instruction into an optimized robotic motion plan in seconds, and it keeps tracking even when the signal goes dark,” said Denis Garagic, CTO, Co-Founder, and Named Inventor, Palladyne AI.

This patent represents a significant expansion of Palladyne AI’s intellectual property portfolio and strengthens its competitive position across high-value commercial and defense markets covering three distinct capability domains:

• Target Recognition: Detects, classifies, and tracks moving targets across EO, IR, LiDAR, radar, acoustic, and RF sensors: fully on-device, without cloud connectivity.
• Autonomous Path Planning: Converts natural-language commands into optimized motion plans without manual reprogramming which accelerates deployment and reduces task changeover time from hours to minutes in manufacturing, logistics, and field operations.
• Behavioral Prediction & Track Continuity: Predicts target behavior even through sensor dropout, occlusion, or jamming which enables persistent tracking in communications-denied and degraded environments.

“This patent is a direct expression of the long-term value we are building at Palladyne AI,” said Ben Wolff, President and CEO, Palladyne AI. “Our framework is not incremental, it is a fundamentally different approach to machine intelligence. We believe this IP is revolutionary and will compound in value as autonomous systems become central to both defense and industrial customers as they accelerate adoption of trusted, edge-native autonomy.”