首页|Study Results from University of Virginia Provide New Insights into Robotics (St ereoscopic artificial compound eyes for spatiotemporal perception in three-dimen sional space)
Study Results from University of Virginia Provide New Insights into Robotics (St ereoscopic artificial compound eyes for spatiotemporal perception in three-dimen sional space)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in robotic s. According to news reporting originating from Charlottesville, Virginia, by Ne wsRx correspondents, research stated, “Arthropods’ eyes are effective biological vision systems for object tracking and wide field of view because of their stru ctural uniqueness; however, unlike mammalian eyes, they can hardly acquire the d epth information of a static object because of their monocular cues.” The news journalists obtained a quote from the research from University of Virgi nia: “Therefore, most arthropods rely on motion parallax to track the object in three-dimensional (3D) space. Uniquely, the praying mantis (Mantodea) uses both compound structured eyes and a form of stereopsis and is capable of achieving ob ject recognition in 3D space. Here, by mimicking the vision system of the prayin g mantis using stereoscopically coupled artificial compound eyes, we demonstrate d spatiotemporal object sensing and tracking in 3D space with a wide field of vi ew. Furthermore, to achieve a fast response with minimal latency, data storage/t ransportation, and power consumption, we processed the visual information at the edge of the system using a synaptic device and a federated split learning algor ithm. The designed and fabricated stereoscopic artificial compound eye provides energy-efficient and accurate spatiotemporal object sensing and optical flow tra cking. It exhibits a root mean square error of 0.3 centimeter, consuming only ap proximately 4 millijoules for sensing and tracking.”
University of VirginiaCharlottesvilleVirginiaUnited StatesNorth and Central AmericaRobotics
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