Robotics & Machine Learning Daily News2024,Issue(Oct.14) :12-13.

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)

Robotics & Machine Learning Daily News2024,Issue(Oct.14) :12-13.

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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Abstract

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.”

Key words

Sun Yat-sen University/Guangdong/Peopl e’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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