Zobrazeno 1 - 10
of 23 080
pro vyhledávání: '"An, Yueming"'
Robust grasping represents an essential task in robotics, necessitating tactile feedback and reactive grasping adjustments for robust grasping of objects. Previous research has extensively combined tactile sensing with grasping, primarily relying on
Externí odkaz:
http://arxiv.org/abs/2411.08499
Achieving robust and precise pose estimation in dynamic scenes is a significant research challenge in Visual Simultaneous Localization and Mapping (SLAM). Recent advancements integrating Gaussian Splatting into SLAM systems have proven effective in c
Externí odkaz:
http://arxiv.org/abs/2411.08373
Precise localization and mapping are critical for achieving autonomous navigation in self-driving vehicles. However, ego-motion estimation still faces significant challenges, particularly when GNSS failures occur or under extreme weather conditions (
Externí odkaz:
http://arxiv.org/abs/2411.07699
Learning diverse and high-performance behaviors from a limited set of demonstrations is a grand challenge. Traditional imitation learning methods usually fail in this task because most of them are designed to learn one specific behavior even with mul
Externí odkaz:
http://arxiv.org/abs/2411.06965
Autor:
Yin, Shi, Tan, Hongqi, Chong, Li Ming, Liu, Haofeng, Liu, Hui, Lee, Kang Hao, Tuan, Jeffrey Kit Loong, Ho, Dean, Jin, Yueming
Background: Cone-beam computed tomography (CBCT) plays a crucial role in image-guided radiotherapy, but artifacts and noise make them unsuitable for accurate dose calculation. Artificial intelligence methods have shown promise in enhancing CBCT quali
Externí odkaz:
http://arxiv.org/abs/2411.01575
Autor:
Dou, Shihan, Zhang, Jiazheng, Zang, Jianxiang, Tao, Yunbo, Zhou, Weikang, Jia, Haoxiang, Liu, Shichun, Yang, Yuming, Xi, Zhiheng, Wu, Shenxi, Zhang, Shaoqing, Wu, Muling, Lv, Changze, Xiong, Limao, Zhan, Wenyu, Zhang, Lin, Weng, Rongxiang, Wang, Jingang, Cai, Xunliang, Wu, Yueming, Wen, Ming, Zheng, Rui, Ji, Tao, Cao, Yixin, Gui, Tao, Qiu, Xipeng, Zhang, Qi, Huang, Xuanjing
We introduce MPLSandbox, an out-of-the-box multi-programming language sandbox designed to provide unified and comprehensive feedback from compiler and analysis tools for Large Language Models (LLMs). It can automatically identify the programming lang
Externí odkaz:
http://arxiv.org/abs/2410.23074
Black-box optimization algorithms have been widely used in various machine learning problems, including reinforcement learning and prompt fine-tuning. However, directly optimizing the training loss value, as commonly done in existing black-box optimi
Externí odkaz:
http://arxiv.org/abs/2410.12457
Autor:
Jiang, Yi, Shen, Qingyang, Lai, Shuzhong, Qi, Shunyu, Zheng, Qian, Yao, Lin, Wang, Yueming, Pan, Gang
Autism spectrum disorder(ASD) is a pervasive developmental disorder that significantly impacts the daily functioning and social participation of individuals. Despite the abundance of research focused on supporting the clinical diagnosis of ASD, there
Externí odkaz:
http://arxiv.org/abs/2410.05684
Autor:
Wan, Zhenglin, Yu, Xingrui, Bossens, David Mark, Lyu, Yueming, Guo, Qing, Fan, Flint Xiaofeng, Tsang, Ivor
Imitation learning (IL) has shown great potential in various applications, such as robot control. However, traditional IL methods are usually designed to learn only one specific type of behavior since demonstrations typically correspond to a single e
Externí odkaz:
http://arxiv.org/abs/2410.06151
Autor:
Deng, Chengyun, Lai, Shuzhong, Zhou, Chi, Bao, Mengyi, Yan, Jingwen, Li, Haifeng, Yao, Lin, Wang, Yueming
Early diagnosis and professional intervention can help children with autism spectrum disorder (ASD) return to normal life. However, the scarcity and imbalance of professional medical resources currently prevent many autistic children from receiving t
Externí odkaz:
http://arxiv.org/abs/2409.01867