Award Data

TRACLabs Inc. has worked with NASA to create indoor/outdoor, vision-based leader-following systems for sparse, extra-terrestrial environments. Brown University's Robotics Group has demonstrated leader-following and gesture recognition in high-traffic, dynamic, indoor environments using active lidar sensing. We propose to combine our technologies in order to create a passive sensing system that w ...

We will develop novel acousto-optic devices for use in the UV using the new material Barium Borate (BBO) which not only has the required UV transparency, but a unique combination of acoustic and optical properties. The capabilities provided by these new UV AO devices are ideally suited for optical addressing arrays of trapped ions with focused spots from appropriately tuned UV and visible lasers t ...

LADAR light reflection from a target is highly dependent of the spectral reflectivity and texture properties of the surface. Such dependencies could be exploited for target recognition based on surface characterization with appropriate imaging conditions and processing algorithms. Target surface light reflection is characterized by the Bidirectional Reflectance Distribution Function (BRDF), which ...