Search

Your search keyword '"Robot technology"' showing total 3 results
Start Over Descriptor "Robot technology" Publisher ieee
3 results on '"Robot technology"'

1. The Image Processing Using Soft Robot Technology in Fitness Motion Detection Under the Internet of Things

Author

Lin Ye and Yingying Zheng

Subjects
Human posture recognition, robot technology, simulated annealing, semi-supervised learning, deep learning, motion detection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

In order to study the application of robotic technology in fitness motion detection, this study develops a modular high accuracy and low-latency Human Gesture Recognition (HGR) system. Firstly, an improved HGR algorithm is introduced, which compresses the HGR model through content extraction and reduces the number of parameters. Methods such as Simulated Annealing and Semi-Supervised Learning are introduced to improve content extraction, further improving the compression of the model. Secondly, a human pose recognition system is constructed based on Deep Learning (DL) and robotics, and each module is recommended. Finally, the effectiveness of the system is verified. The results show that when the accuracy is close to HRNet-32. The inference speed of the model is increased by about 2.4 times, and the model parameters are compressed by about 67%. The data demonstrate the effectiveness of the method. The robot-human posture detection technology can effectively solve human posture recognition in fitness exercises.

Published
2022
Full Text
View/download PDF

2. Information Technology Convergence for Industry in Korea.

Author

Kang, Byeongdo

Abstract

In this paper, we summarized the technologies of great promise related with information technology by reference to the reports issued by popular research institutes or organizations in the inside and outside of country. We clssified those technologies by the fields of study in information technology, contents technology, biotechnology, nanotechnology, green technology, manufacture technology, service technology, robot technology, and human technology. And then we introduced the research direction of information technology convergence for industry in the Republic of Korea. [ABSTRACT FROM PUBLISHER]

Published
2011
Full Text
View/download PDF

3. A System on Chip approach to enhanced learning in interdisciplinary robotics

Author

Simon Falsig and Anders Stengaard Sørensen

Subjects
Hardware architecture, business.industry, Computer science, robot teknologi, Robotics, Modular design, Software, System on Chip (SoC), Embedded system, Læring, Robot, Learning, System on a chip, Artificial intelligence, business, Field-programmable gate array, Robot Technology, FPGA
Abstract

p, li { white-space: pre-wrap; } To sustain interdisciplinary teaching and learning in the rapidly growing and diversifying field of robotics, we have successfully employed FPGA based System on Chip (SoC) technology to provide abstraction between high level software and low level IO/ and control hardware. Our approach is to provides students with a simple FPGA based framework for hardware access, and hardware I/O development, which is independent of computer platform and programming language, and enable the students to add to, or change I/O hardware in accordance with their skills. We have tested the framework in an embedded systems course and various student projects, and have found that it greatly enhance the students abilities to control hardware from software, and dramatically reduce the time spent on software $\leftrightarrow$ hardware interfacing. As the framework is also scalable, it can support projects from controlling a single LED, to complex modular and aggregated robots. p, li { white-space: pre-wrap; } To sustain interdisciplinary teaching and learning in the rapidly growing and diversifying field of robotics, we have successfully employed FPGA based System on Chip (SoC) technology to provide abstraction between high level software and low level IO/ and control hardware. Our approach is to provides students with a simple FPGA based framework for hardware access, and hardware I/O development, which is independent of computer platform and programming language, and enable the students to add to, or change I/O hardware in accordance with their skills. We have tested the framework in an embedded systems course and various student projects, and have found that it greatly enhance the students abilities to control hardware from software, and dramatically reduce the time spent on software $\leftrightarrow$ hardware interfacing. As the framework is also scalable, it can support projects from controlling a single LED, to complex modular and aggregated robots.

Published
2010
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results