首页|Reports from University of Texas Austin Describe Recent Advances in Robotics and Automation (Obvi-slam: Long-term Object-visual Slam)
Reports from University of Texas Austin Describe Recent Advances in Robotics and Automation (Obvi-slam: Long-term Object-visual Slam)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics - Robotics and Automation. Accordingto news reporting originating from A ustin, Texas, by NewsRx correspondents, research stated, “Robotsresponsible for tasks over long time scales must be able to localize consistently and scalably amid geometric,viewpoint, and appearance changes. Existing visual SLAM approach es rely on low-level feature descriptorsthat are not robust to such environment al changes and result in large map sizes that scale poorly overlong-term deploy ments.”
AustinTexasUnited StatesNorth and Central AmericaRobotics and AutomationRoboticsUniversity of Texas Austin
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