Zobrazeno 1 - 10
of 337
pro vyhledávání: '"ZHANG Zixu"'
Existing traffic simulation models often fail to capture the complexities of real-world scenarios, limiting the effective evaluation of autonomous driving systems. We introduce Versatile Behavior Diffusion (VBD), a novel traffic scenario generation f
Externí odkaz:
http://arxiv.org/abs/2404.02524
Publikováno v:
Polish Journal of Chemical Technology, Vol 20, Iss 1, Pp 60-66 (2018)
In order to improve the performance of the shell and tube heat exchanger, a porous baffle and a splitter bar are employed in this research. Through the arrangement of the porous baffle in the tube-side inlet and the splitter bar in the tube, the flow
Externí odkaz:
https://doaj.org/article/e3a48c297be74167bd4ff758085c4537
Autor:
Lidard, Justin, Hu, Haimin, Hancock, Asher, Zhang, Zixu, Contreras, Albert Gimó, Modi, Vikash, DeCastro, Jonathan, Gopinath, Deepak, Rosman, Guy, Leonard, Naomi Ehrich, Santos, María, Fisac, Jaime Fernández
As intelligent robots like autonomous vehicles become increasingly deployed in the presence of people, the extent to which these systems should leverage model-based game-theoretic planners versus data-driven policies for safe, interaction-aware motio
Externí odkaz:
http://arxiv.org/abs/2402.14174
Autor:
Hu, Haimin, Dragotto, Gabriele, Zhang, Zixu, Liang, Kaiqu, Stellato, Bartolomeo, Fisac, Jaime F.
We consider the multi-agent spatial navigation problem of computing the socially optimal order of play, i.e., the sequence in which the agents commit to their decisions, and its associated equilibrium in an N-player Stackelberg trajectory game. We mo
Externí odkaz:
http://arxiv.org/abs/2402.09246
Large language models (LLMs) exhibit advanced reasoning skills, enabling robots to comprehend natural language instructions and strategically plan high-level actions through proper grounding. However, LLM hallucination may result in robots confidentl
Externí odkaz:
http://arxiv.org/abs/2402.06529
Autor:
Zhang, Zixu, Yu, Guangsheng, Sun, Caijun, Wang, Xu, Wang, Ying, Zhang, Ming, Ni, Wei, Liu, Ren Ping, Reeves, Andrew, Georgalas, Nektarios
Integrating sharded blockchain with IoT presents a solution for trust issues and optimized data flow. Sharding boosts blockchain scalability by dividing its nodes into parallel shards, yet it's vulnerable to the $1\%$ attacks where dishonest nodes ta
Externí odkaz:
http://arxiv.org/abs/2401.00632
An outstanding challenge for the widespread deployment of robotic systems like autonomous vehicles is ensuring safe interaction with humans without sacrificing performance. Existing safety methods often neglect the robot's ability to learn and adapt
Externí odkaz:
http://arxiv.org/abs/2309.01267
Accurately segmenting blood vessels in retinal fundus images is crucial in the early screening, diagnosing, and evaluating some ocular diseases, yet it poses a nontrivial uncertainty for the segmentation task due to various factors such as significan
Externí odkaz:
http://arxiv.org/abs/2305.03617
Publikováno v:
Management Decision, 2024, Vol. 62, Issue 5, pp. 1560-1575.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MD-05-2023-0867
Autor:
Yan, Junxiang1,2,3 (AUTHOR), Zhang, Zixu1,2,3 (AUTHOR), Shi, Hongdan1,2,3 (AUTHOR), Xue, Xinke1,2,3 (AUTHOR), Li, Ang4 (AUTHOR), Liu, Fenxia1,2,3 (AUTHOR), Ding, Peng1,2,3 (AUTHOR), Guo, Xi1,2,3 (AUTHOR) guoxi@nankai.edu.cn, Cao, Boyang1,2,3 (AUTHOR) boyangcao@nankai.edu.cn
Publikováno v:
BMC Microbiology. 11/15/2024, Vol. 24 Issue 1, p1-12. 12p.