Zobrazeno 1 - 10
of 6 567
pro vyhledávání: '"Zhou, Cheng"'
Autor:
Zhou, Cheng-Long, Peng, Yu-Chen, Zhang, Yong, Yi, Hong-Liang, Antezza, Mauro, Galdi, Vincenzo
We explore a novel approach to achieving anisotropic thermal photon tunneling, inspired by the concept of parity-time symmetry in quantum physics. Our method leverages the modulation of constitutive optical parameters, oscillating between loss and ga
Externí odkaz:
http://arxiv.org/abs/2405.16109
Ghost imaging is a non local imaging technology, which can obtain target information by measuring the second-order intensity correlation between the reference light field and the target detection light field. However, the current imaging environment
Externí odkaz:
http://arxiv.org/abs/2403.03426
Autor:
Zhang, Chong, Sheng, Jiapeng, Li, Tingguang, Zhang, He, Zhou, Cheng, Zhu, Qingxu, Zhao, Rui, Zhang, Yizheng, Han, Lei
Learning highly dynamic behaviors for robots has been a longstanding challenge. Traditional approaches have demonstrated robust locomotion, but the exhibited behaviors lack diversity and agility. They employ approximate models, which lead to compromi
Externí odkaz:
http://arxiv.org/abs/2402.13473
Autor:
Han, Lei, Zhu, Qingxu, Sheng, Jiapeng, Zhang, Chong, Li, Tingguang, Zhang, Yizheng, Zhang, He, Liu, Yuzhen, Zhou, Cheng, Zhao, Rui, Li, Jie, Zhang, Yufeng, Wang, Rui, Chi, Wanchao, Li, Xiong, Zhu, Yonghui, Xiang, Lingzhu, Teng, Xiao, Zhang, Zhengyou
Summarizing knowledge from animals and human beings inspires robotic innovations. In this work, we propose a framework for driving legged robots act like real animals with lifelike agility and strategy in complex environments. Inspired by large pre-t
Externí odkaz:
http://arxiv.org/abs/2308.15143
Autor:
Li, Tingguang, Zhang, Yizheng, Zhang, Chong, Zhu, Qingxu, sheng, Jiapeng, Chi, Wanchao, Zhou, Cheng, Han, Lei
In this paper, we present a general learning framework for controlling a quadruped robot that can mimic the behavior of real animals and traverse challenging terrains. Our method consists of two steps: an imitation learning step to learn from motions
Externí odkaz:
http://arxiv.org/abs/2308.03273
Publikováno v:
Industrial Lubrication and Tribology, 2024, Vol. 76, Issue 2, pp. 252-261.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ILT-11-2023-0350
Publikováno v:
Asian Journal of Surgery, Vol 47, Iss 3, Pp 1677-1679 (2024)
Externí odkaz:
https://doaj.org/article/9b3d3a14b3b24fed96c40042fbc75fff
We consider the problem of policy transfer between two Markov Decision Processes (MDPs). We introduce a lemma based on existing theoretical results in reinforcement learning to measure the relativity gap between two arbitrary MDPs, that is the differ
Externí odkaz:
http://arxiv.org/abs/2206.06009
Motion style transfer is highly desired for motion generation systems for gaming. Compared to its offline counterpart, the research on online motion style transfer under interactive control is limited. In this work, we propose an end-to-end neural ne
Externí odkaz:
http://arxiv.org/abs/2203.16393
Publikováno v:
Engineering, Construction and Architectural Management, 2022, Vol. 30, Issue 8, pp. 3620-3644.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ECAM-10-2021-0877