Muqing Cao | See NTU From Above----Amazing Aerial View of Nanyang Technological University, Singapore @muqingcao6184 | Uploaded January 2015 | Updated October 2024, 3 hours ago.
This video offers a different angle of view of the beautiful campus of Nanyang Technological University, Singapore. It is made by NTU Aerospace Society using a quadcopter with Gopro camera.
Visit NTU Aerospace Society's FB page: facebook.com/NTUAerospace?ref=bookmarks
For aerial filming service in campus, contact caomuqing@163.com
Aerial filming: Cao Muqing, Hoang Minh Chung
Movie Editing: Cao Muqing
Special Thanks: Hambali Mohd, Li Jingning, Li Junru, Liu Haotian
This video offers a different angle of view of the beautiful campus of Nanyang Technological University, Singapore. It is made by NTU Aerospace Society using a quadcopter with Gopro camera.
Visit NTU Aerospace Society's FB page: facebook.com/NTUAerospace?ref=bookmarks
For aerial filming service in campus, contact caomuqing@163.com
Aerial filming: Cao Muqing, Hoang Minh Chung
Movie Editing: Cao Muqing
Special Thanks: Hambali Mohd, Li Jingning, Li Junru, Liu Haotian
![[IEEE T-SMC] Distributed Control of Multi-Robot Sweep Coverage with Unknown Workload Distribution](https://i.ytimg.com/vi/nBXupDJ9x94/hqdefault.jpg "[IEEE T-SMC] Distributed Control of Multi-Robot Sweep Coverage with Unknown Workload Distribution
Supplementary material for the paper accepted by IEEE Transactions on System, Man and Cybernetics: Systems (IEEE T-SMC).
TITLE: Distributed Control of Multi-Robot Sweep Coverage Over A Region with Unknown Workload Distribution
ABSTRACT: In this paper, we consider the problem of using a multi-robot system to conduct sweep coverage over a region with uneven and unknown workload distribution. Uneven workload distribution means that a robot has to spend different amounts of time covering a unit area at different locations in the region. Unknown workload distribution means that the amount of workload at any location is unknown prior to the operation, hence online sensing and allocation of workload is needed for better efficiency. In this work, the entire region is separated into multiple stripes, and a discrete-time distributed workload allocation algorithm is used to allocate workload on a stripe to each robot. We propose a new algorithm that addresses the limited sensor range of robots, which is an essential constraint in applications such as agricultural spraying and building inspection. The stability analysis and error bound of the proposed algorithm are also provided. Realistic simulations and actual flight experiments using UAVs are carried out to demonstrate the practicality and validate the theoretical results.")
