scholarly journals Application of modified Asimov’s laws to the agent of home service robot using state, operator, and result (Soar)

2018 ◽  
Vol 15 (3) ◽  
pp. 172988141878082 ◽  
Author(s):  
Chien Van Dang ◽  
Mira Jun ◽  
Yong-Bin Shin ◽  
Jae-Won Choi ◽  
Jong-Wook Kim
Keyword(s):  
Decision Making ◽  
Food Item ◽  
The Elderly ◽  
Food Delivery ◽  
Service Robots ◽  
Service Robot ◽  
Human Beings ◽  
State Operator ◽  
Home Service Robot ◽  
Home Service

This study aims to interpret and apply Asimov’s Three Laws of Robotics to home service robots. An agent is developed herein with the ability to focus its attention on human beings’ health, particularly the elderly and the diseased, by delivering food. The agent is developed on a cognitive agent architecture, state, operator, and result (Soar), to enable effective reasoning and decision-making skills. This study deals with basic home care services, such as food delivery and emergency response; therefore, common food care and emergency rules are newly proposed based on the priority values that correspond to a family’s circumstances and/or emergency levels. Asimov’s Three Laws are modified to aid the home service robot to follow a predetermined order in selecting a food item or recommending an alternative food item suitable for its user’s prevailing health condition. Experimental results confirm that reasoning and decision-making of the proposed agent are logically and ethically valid for a home service robot and ensure compliance with both the original and modified Asimov’s Three Laws.

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.

Project Donaxi@HOME Service Robot

2013 ◽  
Vol 423-426 ◽  
pp. 2817-2820 ◽  
Author(s):  
Hector S. Vargas ◽  
Edson Olmedo ◽  
Aldo Daniel Martinez ◽  
Victor Poisot ◽  
Agustin Perroni ◽  
...  
Keyword(s):  
Human Robot Interaction ◽  
Service Robots ◽  
Service Robot ◽  
Robot Interaction ◽  
Effective Implementation ◽  
Modular Software ◽  
Detection And Tracking ◽  
Home Service Robot ◽  
Home Service ◽  
Human Face Detection

Donaxi is a prototype to improve their different capacities in the area of service robotics. This paper describes the functional architecture design and the different modules that integrate it of the service robot Donaxi of UPAEP. Novel results are presented here in the area of face recognition; we propose theHybrid Algorithm to Human-Face Detection and Tracking UnrestrictedandIdentification of People on the Floor Due to a Fall or Other Accident. The robot Donaxi is used as a vehicle for research in control of movement and human-robot interaction. The at Home League of RoboCup provides an ideal tested for such aspects of dynamic in motion indoor, skills to manipulate objects, aptitudes to intergesticulate with the persons in natural language and more. A modular software architecture as well as further technologies have been developed for efficient and effective implementation and test of modules for sensing, planning, behavior, and actions of service robots.

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.

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.

Sign in / Sign up

Export Citation Format

Share Document