How Blind People Can Manage a Remote Control System: A Case Study

Author(s):  
Marina Buzzi ◽  
Francesco Gennai ◽  
Barbara Leporini
2012 ◽  
Vol 591-593 ◽  
pp. 1236-1241
Author(s):  
Huan Liu ◽  
Bing Hua Jiang ◽  
Fang Bing Liu ◽  
Qing Song Xu

In this paper, we studied de-icing robot wireless remote control system. According to the actual operating environment of the de-icing robot, we analyzed the operational requirements of the robot and the control requirements of remote control system. A new wireless remote control circuit has designed based on APC220-43 module implemented in design hardware and software. Experiments and the actual operation had shown that the reliability of the wireless remote control system.


2017 ◽  
Vol 45 (21) ◽  
pp. 12256-12269 ◽  
Author(s):  
Kwang-Ho Lee ◽  
Shirley Oghamian ◽  
Jin-A Park ◽  
Liang Kang ◽  
Peter W. Laird

2020 ◽  
Vol 216 ◽  
pp. 01143
Author(s):  
Kodir Aslonov ◽  
Anvar Akhmedov ◽  
Ramziddin Pirimov ◽  
Maktuba Rakhmatova

The article analyzes the advantages of devices for receiving and transmitting information smartphone, Bluetooth and WiFi technologies. In addition, an algorithm for a digital wireless remote control system based on the Arduino UNO microcontroller with Bluetooth and WiFi technologies is presented. In order to increase the reliability of the digital wireless remote control system, a model has been developed to save battery power on a smartphone.


2019 ◽  
Vol 2 (1) ◽  
pp. 5 ◽  
Author(s):  
Sidagam Sankar ◽  
Chi-Yi Tsai

Human detection and tracking is an important task in artificial intelligent robotic systems, which usually require a robust target detector to work in a variety of circumstances. In complex environments where a camera is installed on a wheeled mobile robot, this task becomes much more difficult. In this paper, we present a real-time remote-control system for human detection, tracking, security, and verification in such challenging environments. Such a system is useful for security monitoring, data collection, and experimental purpose. In the proposed system, a Kinect RGB-D camera from Microsoft is used as a visual sensing device for the design of human detection and tracking. We also implemented a remote-control system on a four-wheel mobile platform with a Robot Operating System (ROS). By combining these two designs, a wireless controlled mobile platform having the feature of real-time human monitoring can be realized to handle this task efficiently. Experimental results validate the performance of the proposed system for wirelessly controlling the mobile robot to track humans in a real-world environment.


Author(s):  
Liu Shi-nian ◽  
Hu Shan ◽  
Ma Cun-ren ◽  
Xu He-zhang ◽  
Su Wei ◽  
...  

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