The newly developing facets of technology and sensory control algorithm fuselets that will enable the envisioned information flow between the unmanned aerial system agents, will rely on cognitive advances in embedded smart perception sensory systems. Smart perception system-on-a-chip (SP-SoC) systems that sense, receive, transmit, and process signals are the analogous eyes and ears for waveform diversity. The nature of context processing implies information processing that is cognitive in classifying waveform diversity from sensory wavelet data

This paper explores the cognitive domains of information, knowledge and intelligence for signal processing. Since the initial cognitive efforts into the field of multi-agent cooperation, research has begun to polarize in several different types of cooperation. The nature of image registration implies information processing that is cognitive in classifying sensory image data. Key functionality presented in this image registration flight control concept development technology roadmap include: image applications of neighborhood and formation algorithms; adaptive wavelet techniques for optimizing imagery transmission and processing; and application of emerging wavelet transformations for adaptive multiscale and multiresolution image applications.

Ladar provides 3D shape information that has yet to be fully exploited for object recognition or classification. This is partly due to the operating conditions, but mostly due to a representational gap in computational intelligence. This paper briefly explores some of the hurdles of object classification using ladar data and proposes a theoretical framework, based on the biological inspiration of qualia, we believe will allow us to address these operating conditions and, most importantly, this representational gap. Our framework works on concepts instead of parts, and iterates a top-down and bottom-up solution that updates the hypothesis with the accrual of evidence. This creates a system that we believe will generalize concepts, learn from experience, and even recognize the need for the addition of new classes based on its current world view.