Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Huang Yanlong"'
Autor:
Huang Yanlong, Luo Xin, Li Biting, Zeng Liwei, Ye Ruoting, Liu Chengyi, Ji Cunwei, Chen Zhenhui, Luo Mingyong
Publikováno v:
Journal of Laboratory Medicine, Vol 48, Iss 4, Pp 183-186 (2024)
To explore and identify an optimal serum ferritin (SF) threshold level in diagnosing hemophagocytic lymphohistiocytosis (HLH) in Chinese children.
Externí odkaz:
https://doaj.org/article/4d9b104f8b614f2da69bff819b928f30
One-Shot Robust Imitation Learning for Long-Horizon Visuomotor Tasks from Unsegmented Demonstrations
In contrast to single-skill tasks, long-horizon tasks play a crucial role in our daily life, e.g., a pouring task requires a proper concatenation of reaching, grasping and pouring subtasks. As an efficient solution for transferring human skills to ro
Externí odkaz:
http://arxiv.org/abs/2410.01630
Graph-level anomaly detection is significant in diverse domains. To improve detection performance, counterfactual graphs have been exploited to benefit the generalization capacity by learning causal relations. Most existing studies directly introduce
Externí odkaz:
http://arxiv.org/abs/2407.13251
Humans' ability to smoothly switch between locomotion and manipulation is a remarkable feature of sensorimotor coordination. Leaning and replication of such human-like strategies can lead to the development of more sophisticated robots capable of per
Externí odkaz:
http://arxiv.org/abs/2402.13915
Over the past few years, there have been numerous works towards advancing the generalization capability of robots, among which learning from demonstrations (LfD) has drawn much attention by virtue of its user-friendly and data-efficient nature. While
Externí odkaz:
http://arxiv.org/abs/2310.09791
Autor:
Silvério, João, Huang, Yanlong
Over the last two decades, the robotics community witnessed the emergence of various motion representations that have been used extensively, particularly in behavorial cloning, to compactly encode and generalize skills. Among these, probabilistic app
Externí odkaz:
http://arxiv.org/abs/2209.08522
Layout design is ubiquitous in many applications, e.g. architecture/urban planning, etc, which involves a lengthy iterative design process. Recently, deep learning has been leveraged to automatically generate layouts via image generation, showing a h
Externí odkaz:
http://arxiv.org/abs/2203.14412
Autor:
Huang, Yanlong
As a user-friendly and straightforward solution for robot trajectory generation, imitation learning has been viewed as a vital direction in the context of robot skill learning. In contrast to unconstrained imitation learning which ignores possible in
Externí odkaz:
http://arxiv.org/abs/2103.00452
Autor:
Huang, Yanlong, Caldwell, Darwin G.
In recent years, a myriad of advanced results have been reported in the community of imitation learning, ranging from parametric to non-parametric, probabilistic to non-probabilistic and Bayesian to frequentist approaches. Meanwhile, ample applicatio
Externí odkaz:
http://arxiv.org/abs/1909.07374
As a promising branch of robotics, imitation learning emerges as an important way to transfer human skills to robots, where human demonstrations represented in Cartesian or joint spaces are utilized to estimate task/skill models that can be subsequen
Externí odkaz:
http://arxiv.org/abs/1907.03918