Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Guanglong Du"'
Autor:
Kang Su, Jingwei Liu, Xiaoqi Ren, Yingxiang Huo, Guanglong Du, Wei Zhao, Xueqian Wang, Bin Liang, Di Li, Peter Xiaoping Liu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract The current thyroid ultrasound relies heavily on the experience and skills of the sonographer and the expertise of the radiologist, and the process is physically and cognitively exhausting. In this paper, we report a fully autonomous robotic
Externí odkaz:
https://doaj.org/article/236b877a227448c5a35b77dc9df6cc5d
Publikováno v:
IEEE Access, Vol 10, Pp 16518-16529 (2022)
This paper proposes a novel method for active collision avoidance to protect the human who enters a robot’s workspace in a human-robot collaborative environment. The proposed method uses a somatosensory sensor to monitor the robot’s workspace and
Externí odkaz:
https://doaj.org/article/d64ef5864d2a4a67a8dafaa049450a2e
Publikováno v:
IEEE Access, Vol 8, Pp 20838-20848 (2020)
At present, cloud robots tend to be intelligent and cooperative. Based on this, we proposed a teaching method based on Imitation and a learning method that incorporates Incremental Learning and Meta Learning. We use Imitation Learning to teach robots
Externí odkaz:
https://doaj.org/article/7c74e56be1334d2a88c9175c1e9e52fb
Publikováno v:
IEEE Access, Vol 8, Pp 11896-11906 (2020)
A key to optimize a user's entertainment or learning experience when playing interactive games is to understand his emotional responses. Current methods mostly exploit intrusive physiological signals to detect a player's emotions. In this study, we p
Externí odkaz:
https://doaj.org/article/6a8608fbaa3b441b81e4df75b1fe19d2
Publikováno v:
IEEE Access, Vol 7, Pp 24806-24818 (2019)
As an important unsupervised learning method, clustering can find the hidden structures in data effectively. With the amount of data grows larger, clustering of large data sets is a challenging task. Many clustering algorithms have been developed to
Externí odkaz:
https://doaj.org/article/04575510785f4fc49c14d1fe8e4e8adb
Publikováno v:
IEEE Access, Vol 7, Pp 154317-154330 (2019)
This paper proposes a novel teleoperation method that allows users to guide robots hand by hand along with speech. In this method, the virtual robot modeled according to the remote real robot is projected into the real local environment to form a 3D
Externí odkaz:
https://doaj.org/article/a98bc31cbf8e4f92854c3df3a3479228
Publikováno v:
IEEE Access, Vol 6, Pp 21745-21757 (2018)
This paper considers the problem of having a team of mobile robots to visit a set of target locations. This problem is known as multi-robot patrolling problems. In this paper, the problem is formulated as a multiple traveling salesman problem (MTSP)
Externí odkaz:
https://doaj.org/article/ea4ed2fcd31949dfba59121c07e7fe9e
Publikováno v:
Frontiers in Robotics and AI, Vol 5 (2018)
With the development of Industry 4.0, the cooperation between robots and people is increasing. Therefore, man—machine security is the first problem that must be solved. In this paper, we proposed a novel methodology of active collision avoidance to
Externí odkaz:
https://doaj.org/article/c9881fec3a524e839cece98b05c616c7
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 12 (2015)
The objective of this paper is to develop a novel human-manipulator interface which incorporates wearable-based and markerless tracking to interact with the continuous movements of a human operator's hand. Unlike traditional approaches, which usually
Externí odkaz:
https://doaj.org/article/542ba2717bae439cbfec739950157aad
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
This paper utilizes a human-robot interface system which incorporates particle filter (PF) and adaptive multispace transformation (AMT) to track the pose of the human hand for controlling the robot manipulator. This system employs a 3D camera (Kinect
Externí odkaz:
https://doaj.org/article/1a5a574a1ca6459c8815c6cd806c5d68