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pro vyhledávání: '"Li, ZhaoTing"'
Planning methods struggle with computational intractability in solving task-level problems in large-scale environments. This work explores leveraging the commonsense knowledge encoded in LLMs to empower planning techniques to deal with these complex
Externí odkaz:
http://arxiv.org/abs/2409.04775
Unlike human beings that can employ the entire surface of their limbs as a means to establish contact with their environment, robots are typically programmed to interact with their environments via their end-effectors, in a collision-free fashion, to
Externí odkaz:
http://arxiv.org/abs/2308.04323
Autor:
Yang, Yaming, Ren, Shichang, Chen, Ming, Li, ZhaoTing, Ma, Qian, Zhang, Miaochan, Li, Hualin, Ren, Xiaolin, Ding, Yuduan
Publikováno v:
In Postharvest Biology and Technology May 2024 211
Being able to explore unknown environments is a requirement for fully autonomous robots. Many learning-based methods have been proposed to learn an exploration strategy. In the frontier-based exploration, learning algorithms tend to learn the optimal
Externí odkaz:
http://arxiv.org/abs/2106.09257
Autor:
Li, Zhaoting, Mo, Fanyi, Guo, Kai, Ren, Shuai, Wang, Yixin, Chen, Yu, Schwartz, Patrick B., Richmond, Nathaniel, Liu, Fengyuan, Ronnekleiv-Kelly, Sean M., Hu, Quanyin
Publikováno v:
In Med 12 April 2024 5(4):348-367
Autor:
Cheng, Tianfang, Cheang, Qing Wei, Xu, Linghui, Sheng, Shuo, Li, Zhaoting, Shi, Yu, Zhang, Huiyan, Pang, Li Mei, Liu, Ding Xiang, Yang, Liang, Liang, Zhao-Xun, Wang, Junxia
Publikováno v:
In Journal of Biological Chemistry March 2024 300(3)
Robot path planning is difficult to solve due to the contradiction between optimality of results and complexity of algorithms, even in 2D environments. To find an optimal path, the algorithm needs to search all the state space, which costs a lot of c
Externí odkaz:
http://arxiv.org/abs/2012.03449
Publikováno v:
In Journal of Energy Storage 20 December 2023 73 Part D
Akademický článek
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Autor:
Li, Zhaoting, Deng, Yueyang, Sun, Honghao, Tan, Caixia, Li, Heming, Mo, Fanyi, Wang, Yixin, Li, Jing, Zhou, Zhanwei, Sun, Minjie
Publikováno v:
In Journal of Controlled Release June 2023 358:579-590