Zobrazeno 1 - 10
of 283
pro vyhledávání: '"Tzuu-Hseng S. Li"'
Publikováno v:
IEEE Access, Vol 11, Pp 78028-78041 (2023)
Tidying up objects poses a complex challenge for service robots, particularly when it involves scheduling operations that require real-time action for achieving optimal results. This paper presents a decision system aimed at selecting priority locati
Externí odkaz:
https://doaj.org/article/076e10bfd41046daa8d250a4cbfc01b8
Autor:
Yu-Ting Su, Tzuu-Hseng S. Li, Meng-Xue Chen, Song-Jin Lin, Cheng-Yeh Yang, Chang-Wen Wang, Hsu-Ming Tsao, Cheng-Han Zhan
Publikováno v:
IEEE Access, Vol 10, Pp 50100-50113 (2022)
This study provides a complete Selective Compliance Assembly Robot Arm (SCARA) wafer inspection system. This system mainly includes two phases. In the first phase, a SCARA manipulator acts as an inspection application platform, and a depth camera is
Externí odkaz:
https://doaj.org/article/e4d02174402a444da28953fe27c53da0
Publikováno v:
IEEE Access, Vol 10, Pp 91045-91058 (2022)
This study proposes an automatic classifier for detecting the multiclass probabilities of hepatitis C virus (HCV) incidence based on patients’ blood attributes. The purpose of this study is to establish an artificial intelligence-based model that c
Externí odkaz:
https://doaj.org/article/c73853bd4b7841b0b75468f4313bcef6
Autor:
Li-Fan Wu, Tzuu-Hseng S. Li
Publikováno v:
IEEE Access, Vol 8, Pp 36441-36453 (2020)
A fuzzy dynamic gait pattern generator, which allows a teen-sized humanoid robot to generate, in real-time, a suitable gait pattern when it is hit by an unexpected force, is proposed in this paper. Conventional gait pattern generators usually utilize
Externí odkaz:
https://doaj.org/article/d1dce2be69224bf4a555ec8802a4d4f8
Publikováno v:
IEEE Access, Vol 8, Pp 204309-204324 (2020)
This study proposed a new processing method to predict breast cancer on the basis of nine individual attributes, including age, body mass index, glucose, insulin, and a homeostasis model assessment. First, principal component analysis (PCA) was used
Externí odkaz:
https://doaj.org/article/e6b2c3d458a949dc926929af39de13d2
Autor:
Tzuu-Hseng S. Li, Ping-Huan Kuo, Chien-Yu Chang, Hao-Ping Hsu, Yuan-Chih Chen, Chien-Hsin Chang
Publikováno v:
IEEE Access, Vol 7, Pp 165659-165670 (2019)
A cognition learning algorithm based on a deep belief network and inertia weight Particle Swarm Optimization (PSO) is presented and examined in a humanoid robot. The psychology concepts were adopted from Thinking, Fast and Slow by Daniel Kahneman. Th
Externí odkaz:
https://doaj.org/article/1e53cab73591402e89b39eda4958d674
Publikováno v:
IEEE Access, Vol 7, Pp 93998-94011 (2019)
Robots must be able to recognize human emotions to improve the human-robot interaction (HRI). This study proposes an emotion recognition system for a humanoid robot. The robot is equipped with a camera to capture users' facial images, and it uses thi
Externí odkaz:
https://doaj.org/article/c1b15811764d486b9530b086eeefdb18
Publikováno v:
IEEE Access, Vol 7, Pp 126929-126940 (2019)
This paper proposes an intelligent control strategy for enabling a robotic arm to grasp and place water-filled bottles without spilling any of the water. First, the system architecture of a five-degree-of-freedom robotic arm and its mechanical design
Externí odkaz:
https://doaj.org/article/51755f45464b46c495380a1a5fc3c3a1
Publikováno v:
IEEE Access, Vol 7, Pp 153986-153998 (2019)
A motion imitation and augmentation system comprising an imitation system, a self-collision avoidance system, and a motion augmented system was proposed in this study. The imitation system captures the human skeleton by using an RGB-D camera and a me
Externí odkaz:
https://doaj.org/article/f6f5bb27df0b4b848c0fcf5b2294107e
Publikováno v:
IEEE Access, Vol 5, Pp 2459-2469 (2017)
In this paper, an enhanced linear inverted pendulum model (LIPM) and a gait planning algorithm are proposed. The LIPM is a widely used concept for gait reference generation, and it provides a simplified model for planning a center of mass trajectory
Externí odkaz:
https://doaj.org/article/c31d0ff5eca144009820083d1970f931