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pro vyhledávání: '"Majcherczyk, Nathalie"'
Autor:
Ding, Wenhao, Majcherczyk, Nathalie, Deshpande, Mohit, Qi, Xuewei, Zhao, Ding, Madhivanan, Rajasimman, Sen, Arnie
Active perception describes a broad class of techniques that couple planning and perception systems to move the robot in a way to give the robot more information about the environment. In most robotic systems, perception is typically independent of m
Externí odkaz:
http://arxiv.org/abs/2301.09544
In this paper, we propose an approach to the distributed storage and fusion of data for collective perception in resource-limited robot swarms. We demonstrate our approach in a distributed semantic classification scenario. We consider a team of mobil
Externí odkaz:
http://arxiv.org/abs/2012.08061
In this paper, we show how the Federated Learning (FL) framework enables learning collectively from distributed data in connected robot teams. This framework typically works with clients collecting data locally, updating neural network weights of the
Externí odkaz:
http://arxiv.org/abs/2010.08595
We present an approach to the distributed storage of data across a swarm of mobile robots that forms a shared global memory. We assume that external storage infrastructure is absent, and that each robot is capable of devoting a quota of memory and ba
Externí odkaz:
http://arxiv.org/abs/1909.04905
We present a decentralized and scalable approach for deployment of a robot swarm. Our approach tackles scenarios in which the swarm must reach multiple spatially distributed targets, and enforce the constraint that the robot network cannot be split.
Externí odkaz:
http://arxiv.org/abs/1806.00150
Akademický článek
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Autor:
Majcherczyk, Nathalie, Rabenorosoa, Kanty, Clevy, Cedric, Mincheva, Rosica, Raquez, Jean-Marie, Viallon, Marc, Mastrangeli, Massimo, Lambert, Pierre
Publikováno v:
2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics; 2014, p961-966, 6p
