Smart Home Service Robot applying self-adaptation technologies

2011 ◽  
Author(s):  
Ingeol Chun ◽  
Haeyoung Lee ◽  
Wontae Kim ◽  
Seungmin Park ◽  
EunSeok Lee
Keyword(s):  
Smart Home ◽  
Service Robot ◽  
Home Service Robot ◽  
Home Service ◽  
Self Adaptation

scholarly journals Design of Smart Home Service Robot Based on ROS

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Jiansheng Peng ◽  
Hemin Ye ◽  
Qiwen He ◽  
Yong Qin ◽  
Zhenwu Wan ◽  
...  
Keyword(s):  
Smart Home ◽  
Service Robots ◽  
Service Robot ◽  
Raspberry Pi ◽  
Robot System ◽  
Gas Leakage ◽  
Home Service Robot ◽  
Home Service ◽  
Robot Systems ◽  
And Control

At present, the functions of home service robots are not perfect, and home service robot systems that can independently complete autonomous inspections and home services are still lacking. In response to this problem, this paper designs a smart home service robot system based on ROS. The system uses Raspberry Pi 3B as the main control to manage the nodes of each sensor. CC2530 sets up a ZigBee network to collect home environmental information and control home electrical appliances. The image information of the home is collected by the USB camera. The human speech is recognized by Baidu Speech Recognition API. When encountering a dangerous situation, the GSM module is used to give users SMS and phone alarms. Arduino mega2560 is used as the bottom controller to control the movement of the service robot. The indoor environment map of the home is constructed by the lidar and the attitude sensor. The service robot finally designed and developed realizes the functions of wireless control of home appliances, voice remote control, autonomous positioning and navigation, liquefied gas leakage alarm, and human infrared detection alarm. Compared with the household service robots in the related literature, the household service robots developed by us have more complete functions. And the robot system has completed the task of combining independent patrol and home service well.

Design of Embedded Control System for Window-Cleaning Robot

2014 ◽  
Vol 1022 ◽  
pp. 197-200 ◽  
Author(s):  
Chun Jia Zhu ◽  
Zhi Feng Sun
Keyword(s):  
Control System ◽  
Smart Home ◽  
Service Robot ◽  
Complete Coverage ◽  
Embedded Control ◽  
Coverage Path Planning ◽  
Embedded Control System ◽  
Cleaning Robot ◽  
Home Service Robot ◽  
Home Service

Considering increasing importance of home service robot, the embedded control system based on TI msp430 and μC/OS-II is designed for window-cleaning robot. This paper includes three aspects, i.e., functions, hardware and software design. In the development of the system, the robot can be controlled by smart home system. PID controller is used to control DC motor stably. Meanwhile, a complete coverage path planning is proposed for efficiency.

Generic Technology of Home Service Robot

2011 ◽  
Vol 121-126 ◽  
pp. 3330-3334
Author(s):  
Zhong Hai Yu
Keyword(s):  
Modular Design ◽  
Service Robots ◽  
Service Robot ◽  
Home Nursing ◽  
Paper Briefly ◽  
Home Service Robot ◽  
Home Service ◽  
Reconfigurable Robot ◽  
Research Situation ◽  
Technology Standardization

The paper briefly looks back on current research situation of home service robots. It takes a home nursing robot as example to study and discuss some key generic technologies of home service robots. It generally overviewed robot’s mobile platform technology, modular design, reconfigurable robot technique, motion control, sensor technologies, indoor robot’s navigation and localization technology indoor, intelligentization, and robot’s technology standardization. Some the measures of technology standardization of home service robots have been put forward. It has realistic signification for industrialization of home service robots.

Implementation of an SSVEP-based intelligent home service robot system

2020 ◽  
pp. 1-16
Author(s):  
Yuxin Zhang ◽  
Qiang Gao ◽  
Yu Song ◽  
Zhe Wang
Keyword(s):  
Brain Activity ◽  
Neuromuscular Disorders ◽  
Motor Impairment ◽  
Service Robot ◽  
Task Completion ◽  
Home Service Robot ◽  
Home Service ◽  
Severe Motor ◽  
Severe Motor Impairment ◽  
The Subject

BACKGROUND: People with severe neuromuscular disorders caused by an accident or congenital disease cannot normally interact with the physical environment. The intelligent robot technology offers the possibility to solve this problem. However, the robot can hardly carry out the task without understanding the subject’s intention as it relays on speech or gestures. Brain-computer interface (BCI), a communication system that operates external devices by directly converting brain activity into digital signals, provides a solution for this. OBJECTIVE: In this study, a noninvasive BCI-based humanoid robotic system was designed and implemented for home service. METHODS: A humanoid robot that is equipped with multi-sensors navigates to the object placement area under the guidance of a specific symbol “Naomark”, which has a unique ID, and then sends the information of the scanned object back to the user interface. Based on this information, the subject gives commands to the robot to grab the wanted object and give it to the subject. To identify the subject’s intention, the channel projection-based canonical correlation analysis (CP-CCA) method was utilized for the steady state visual evoked potential-based BCI system. RESULTS: The offline results showed that the average classification accuracy of all subjects reached 90%, and the online task completion rate was over 95%. CONCLUSION: Users can complete the grab task with minimum commands, avoiding the control burden caused by complex commands. This would provide a useful assistance means for people with severe motor impairment in their daily life.

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