Zobrazeno 1 - 10
of 7 831
pro vyhledávání: '"SHI LU"'
Autor:
YANG WANG1 yang.wang@ucdenver.edu
Publikováno v:
China Perspectives. 2021, Issue 4, p61-71. 11p.
Autor:
Ge, Haizhou, Wang, Ruixiang, Xu, Zhu-ang, Zhu, Hongrui, Deng, Ruichen, Dong, Yuhang, Pang, Zeyu, Zhou, Guyue, Zhang, Junyu, Shi, Lu
Advanced imitation learning with structures like the transformer is increasingly demonstrating its advantages in robotics. However, deploying these large-scale models on embedded platforms remains a major challenge. In this paper, we propose a pipeli
Externí odkaz:
http://arxiv.org/abs/2411.11406
Autor:
Shi, Lu, Qi, Bin, Luo, Jiarui, Zhang, Yang, Liang, Zhanzhao, Gao, Zhaowei, Deng, Wenke, Sun, Lin
Functional safety is a critical aspect of automotive engineering, encompassing all phases of a vehicle's lifecycle, including design, development, production, operation, and decommissioning. This domain involves highly knowledge-intensive tasks. This
Externí odkaz:
http://arxiv.org/abs/2410.12475
Benefiting from the advancement of hardware accelerators such as GPUs, deep neural networks and scientific computing applications can achieve superior performance. Recently, the computing capacity of emerging hardware accelerators has increased rapid
Externí odkaz:
http://arxiv.org/abs/2410.02170
Autor:
Lou, Haozhe, Liu, Yurong, Pan, Yike, Geng, Yiran, Chen, Jianteng, Ma, Wenlong, Li, Chenglong, Wang, Lin, Feng, Hengzhen, Shi, Lu, Luo, Liyi, Shi, Yongliang
Real2Sim2Real plays a critical role in robotic arm control and reinforcement learning, yet bridging this gap remains a significant challenge due to the complex physical properties of robots and the objects they manipulate. Existing methods lack a com
Externí odkaz:
http://arxiv.org/abs/2408.14873
Autor:
Shi, Lu, Haseli, Masih, Mamakoukas, Giorgos, Bruder, Daniel, Abraham, Ian, Murphey, Todd, Cortes, Jorge, Karydis, Konstantinos
Koopman operator theory offers a rigorous treatment of dynamics and has been emerging as a powerful modeling and learning-based control method enabling significant advancements across various domains of robotics. Due to its ability to represent nonli
Externí odkaz:
http://arxiv.org/abs/2408.04200
Video Anomaly Detection (VAD), aiming to identify abnormalities within a specific context and timeframe, is crucial for intelligent Video Surveillance Systems. While recent deep learning-based VAD models have shown promising results by generating hig
Externí odkaz:
http://arxiv.org/abs/2403.19111
Autor:
Wang, Zifan, Jia, Yufei, Shi, Lu, Wang, Haoyu, Zhao, Haizhou, Li, Xueyang, Zhou, Jinni, Ma, Jun, Zhou, Guyue
Incorporating a robotic manipulator into a wheel-legged robot enhances its agility and expands its potential for practical applications. However, the presence of potential instability and uncertainties presents additional challenges for control objec
Externí odkaz:
http://arxiv.org/abs/2403.16535
To accomplish relatively complex tasks, in Internet of Bio-Nano Things (IoBNT), information collected by different nano-machines (NMs) is usually sent via multiple-access channels to fusion centers (FCs) for further processing. Relying on two types o
Externí odkaz:
http://arxiv.org/abs/2402.16097
Autor:
Wade, Geoff
Publikováno v:
Journal of Southeast Asian Studies, 2000 Sep 01. 31(2), 249-294.
Externí odkaz:
https://www.jstor.org/stable/20072252