Deep-learning SSD-based Smart Touch Interface and Interactive Robot Design
碩士 === 國立臺灣海洋大學 === 電機工程學系 === 107 === The main purpose of this thesis is to study the application of the deep learning object recognition to the control of several devices including omnidirectional mobile robot, delta robot arm and household appliances. The SSD (Single Shot multibox Detector) neura...
Main Authors: | Chen, Hsu-Huan, 陳緒桓 |
---|---|
Other Authors: | Cheng, Chih-Yung |
Format: | Others |
Language: | zh-TW |
Published: |
2019
|
Online Access: | http://ndltd.ncl.edu.tw/handle/cbxmkw |
Similar Items
-
Interactions Between Specific Human and Omnidirectional Mobile Robot Using Deep Learning Approach: SSD-FN-KCF
by: Chih-Lyang Hwang, et al.
Published: (2020-01-01) -
Interactions Between Specific Human and Omnidirectional Mobile Robot Using Deep Learning Approach: SSD-FN-KCF
by: Ding-Sheng Wang, et al.
Published: (2019) -
An Approach on Image Processing of Deep Learning Based on Improved SSD
by: Liang Jin, et al.
Published: (2021-03-01) -
Explore the interactive design of touch interface Webpage
by: JIANG Zhen, et al.
Published: (2014-12-01) -
Hybrid Fuzzy Controller Design for Slider Robot with Touch Screen Human-Machine Interface
by: yen-chung Hsu, et al.
Published: (2012)