This paper investigates the problem of decentralized multi-robot cooperative localization.This problem involves collaboratively estimating the poses of a group of robots with respect to a common reference coordinate s...
supported in part by the Inner Mongolia Autonomous Region Science and Technology Plan Key Technology Breakthroughs of China under Grant No.2021GG0218;in part by the MIC/SCOPE#JP235006102.
The research on multi-robot systems has been divided into various fields,such as communication,navigation,task allocation,and collaborative transport.While significant progress has been made in each area,there has bee...
supported by Bright Dream Robotics and the HKUSTBDR Joint Research Institute Funding Scheme under Project HBJRI-FTP-005(Automated 3D Reconstruction using Robot-mounted 360-Degree Camera with Visible Light Positioning Technology for Building Information Modelling Applications,OKT22EG06).
Large-scale indoor 3D reconstruction with multiple robots faces challenges in core enabling technologies.This work contributes to a framework addressing localization,coordination,and vision processing for multi-agent ...
This paper investigates the problem of cooperative localization(CL)for a multi-robot system(MRS)under dynamic measurement topology,which involves a group of robots collectively estimating their poses with respect to a...
supported by the National Key Research and Development Program of China(No.2019YFB1803400)。
We investigate the impact of network topology characteristics on focking fragmentation for a multi-robot system under a multi-hop and lossy ad hoc network,including the network's hop count features and information's s...
The authors propose a distributed field mapping algorithm that drives a team of robots to explore and learn an unknown scalar field using a Gaussian Process(GP).The authors’strategy arises by balancing exploration ob...
This work was supported by the National Natural Science Foundation of China(No.52105244);Entrepreneurship and Innovation Support Plan of Chongqing for Returned Overseas Scholars(No.cx2023085).
The heightened autonomy and robust adaptability inherent in a multi-robot system have proven pivotal in disaster search and rescue,agricultural irrigation,and environmental monitoring.This study addresses the coordina...
the National Natural Science Foundation of China(No.62063006);to the Natural Science Foundation of Guangxi Province(No.2023GXNSFAA026025);to the Innovation Fund of Chinese Universities Industry-University-Research(ID:2021RYC06005);to the Research Project for Young and Middle-Aged Teachers in Guangxi Universities(ID:2020KY15013);to the Special Research Project of Hechi University(ID:2021GCC028).
The robotics industry has seen rapid development in recent years due to the Corona Virus Disease 2019.With the development of sensors and smart devices,factories and enterprises have accumulated a large amount of data...
supported by the National Natural Science Foundation of China (62173251);the“Zhishan”Scholars Programs of Southeast University;the Fundamental Research Funds for the Central Universities;Shanghai Gaofeng&Gaoyuan Project for University Academic Program Development (22120210022)
Motion planning is critical to realize the autonomous operation of mobile robots.As the complexity and randomness of robot application scenarios increase,the planning capability of the classical hierarchical motion pl...
supported by the DEFENCE SCIENCE&TECHNOLOGY GROUP(DSTG)(9729);The Commonwealth of Australia supported this research through a Defence Science Partnerships agreement with the Australian Defence Science and Technology Group。
A common assumption of coverage path planning research is a static environment.Such environments require only a single visit to each area to achieve coverage.However,some real-world environments are characterised by t...