首页|Research Reports from Sun Yat-sen University Provide New Insights into Robotics (Integrated Localization Method for a Ground-Aerial Robotic System in Warehouse Inventory Scenarios)
Research Reports from Sun Yat-sen University Provide New Insights into Robotics (Integrated Localization Method for a Ground-Aerial Robotic System in Warehouse Inventory Scenarios)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in robotics. According to news originating from Guangdong, People’s Republic of Chi na, by NewsRx correspondents, research stated, “In this study, we designed a gro und-aerial robotic system for the warehouse inventory.” The news editors obtained a quote from the research from Sun Yat-sen University: “The system fully exploits the advantages of UAV and UGV, giving it a stronger competitive edge than previous solutions. The sensors and hardwares used in this system also have modest requirements for computational resources and electrical power, which allows for long-term inventory. An integrated localization framewo rk is established to achieve an accurate localization of this system. We propose d a LiDAR-Inertial Odometry and a targetbased relative localization method to p rovide accurate pose estimation for the entire system. We conducted a series of tests using motion-capture cameras to validate the accuracy and robustness of th e ground-aerial robotic system.”
Sun Yat-sen UniversityGuangdongPeopl e’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRoboticsRobots
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