Robotics & Machine Learning Daily News2024,Issue(Mar.1) :95-96.DOI:10.1016/j.conengprac.2023.105817

New Robotics Study Findings Recently Were Reported by Researchers at University of Nantes (Decentralized Control and State Estimation of a Flying Parallel Robot Interacting With the Environment)

Robotics & Machine Learning Daily News2024,Issue(Mar.1) :95-96.DOI:10.1016/j.conengprac.2023.105817

New Robotics Study Findings Recently Were Reported by Researchers at University of Nantes (Decentralized Control and State Estimation of a Flying Parallel Robot Interacting With the Environment)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Robotics. According to news reporting originating from Nantes, France, by NewsRx correspondents, research stated, “Unmanned Aerial Vehicles (UAVs) have great potential to achieve a variety of tasks remotely such as aerial grasping, transporting and manipulating objects. Architectures with multiple UAVs have further enhanced the payload capacity and manipulability of these robots, for instance a Flying Parallel Robot (FPR) where a moving platform is cooperatively supported by multiple quadrotors with passive rigid links.” Funders for this research include French Infrastructure in Robotics, French Infrastructure in Robotics.Our news editors obtained a quote from the research from the University of Nantes, “In this paper, we address the vision-based state estimation and decentralized control applied to the multi-UAV parallel robot, taking the FPR as an example. An ArUco marker system is applied to estimate the relative pose of each UAV with respect to the common platform frame, along with the Extended Kalman Filter to reconstruct the robot state without the dependence on any external localization system. The interaction controller is then deployed in a decentralized manner, which is potentially more robust to communication delays or interruptions.”

Key words

Nantes/France/Europe/Emerging Technologies/Machine Learning/Robot/Robotics/University of Nantes

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
参考文献量26
段落导航相关论文