supported by the National Natural Science Foundation of China (62273007,61973023);Project of Cultivation for Young Top-motch Talents of Beijing Municipal Institutions (BPHR202203032)。
This work proposes an online collaborative hunting strategy for multi-robot systems based on obstacle-avoiding Voronoi cells in a complex dynamic environment. This involves firstly designing the construction method us...
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...
supported in part by the National Natural Science Foundation of China(62176109);the Natural Science Foundation of Gansu Province(21JR7RA531);the Tibetan Information Processing and Machine Translation Key Laboratory of Qinghai Province(2021-Z-003);the CAS“Light of West China”Program;the Natural Science Foundation of Chongqing(China)(cstc2020jcyjzdxm X0028);the Chongqing Entrepreneurship and Innovation Support Program for Overseas Returnees(CX2021100);the Supercomputing Center of Lanzhou University;the Science and Technology Project of Chengguan District of Lanzhou(2021JSCX0014);the Education Department of Gansu Province:Excellent Graduate Student“Innovation Star”Project(2021CXZX-122)。
Aiming at the k-winners-take-all(kWTA)operation,this paper proposes a gradient-based differential kWTA(GDk WTA)network.After obtaining the network,theorems and related proofs are provided to guarantee the exponential ...