Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Zhongxuan Cai"'
Autor:
Yihan Jiang, Boqi Du, Yuanyuan Chen, Lijiang Wei, Zong Zhang, Zhengcao Cao, Cong Xie, Quanqun Li, Zhongxuan Cai, Zheng Li, Chaozhe Zhu
Publikováno v:
Brain Stimulation, Vol 15, Iss 4, Pp 924-926 (2022)
Externí odkaz:
https://doaj.org/article/680b7f22f6aa44618f39135385199822
Publikováno v:
2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC).
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:6058-6065
Behavior Trees (BTs) have attracted much attention in the robotics field in recent years, which generalize existing control architectures and bring unique advantages for building robot systems. Automated synthesis of BTs can reduce human workload and
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:11282-11289
Multi-agent coordination tends to benefit from efficient communication, where cooperation often happens based on exchanging information about what the agents intend to do, i.e. intention sharing. It becomes a key problem to model the intention by som
Autor:
Yihan Jiang, Boqi Du, Yuanyuan Chen, Lijiang Wei, ZhengCao Cao, Zong Zhang, Cong Xie, Quanqun Li, Zhongxuan Cai, Zheng Li, Chaozhe Zhu
Transcranial magnetic stimulation efficacy is largely dependent upon coil position and orientation. A good method for describing coil placement is required for both computational optimization (planning) and actual placement (implementation). In coord
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6509b6869ded0c0dfcbd1b7af9596e6f
https://doi.org/10.1101/2022.01.22.477370
https://doi.org/10.1101/2022.01.22.477370
Publikováno v:
Proceedings of the 3rd International Conference on Advanced Information Science and System.
Autor:
Zhongxuan Cai, Minglong Li
Publikováno v:
Proceedings of the 3rd International Conference on Advanced Information Science and System.
Publikováno v:
ICTAI
Deep reinforcement learning is making advances in robotics with the platforms of realistic environment simulation. However, as shown in this paper, the realistic simulation introduces vast time cost which is the bottleneck of the learning procedure.
Publikováno v:
Chinese Journal of Electronics. 27:467-475
Programming control systems for mobile robots is complicated and time-consuming, due to three aspects, i.e., the robot behavior coordination, the distributed multi-robot cooperation and the robot software reusability. Subsumption model is a robust co
Publikováno v:
Journal of Physics: Conference Series. 2113:012086
Deep reinforcement learning (DRL) has greatly improved the intelligence of AI in recent years and the community has proposed several common software to facilitate the development of DRL. However, in robotics the utility of common DRL software is limi