SG-Robot: CDMA Network-Operated Mobile Robot for Security Guard at Home

2006 ◽  
pp. 633-638 ◽  
Author(s):  
Je-Goon Ryu ◽  
Se-Kee Kil ◽  
Hyeon-Min Shim ◽  
Sang-Moo Lee ◽  
Eung-Hyuk Lee ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Security Guard ◽  
At Home

HUMAN GAIT BEHAVIOR INTERPRETATION BY A MOBILE HOME HEALTHCARE ROBOT

2012 ◽  
Vol 12 (04) ◽  
pp. 1240021 ◽  
Author(s):  
MYAGMARBAYAR NERGUI ◽  
YUKI YOSHIDA ◽  
WENWEI YU
Keyword(s):  
Mobile Robot ◽  
Motor Function ◽  
Human Behavior ◽  
Lower Limb ◽  
Home Healthcare ◽  
Depth Image ◽  
Human Gait ◽  
Mobile Home ◽  
Joint Angles ◽  
At Home

The ultimate goal of this study is to develop autonomous mobile home healthcare robots which closely monitor and evaluate the patients' motor function, and their at-home training therapy process, providing automatically calling for medical personnel in emergency situations. The robots to be developed will bring about cost-effective, safe and easier at-home rehabilitation to most motor-function impaired patients (MIPs), and meanwhile, relieve therapists from great burden in canonical rehabilitation. In order to achieve this goal, we have developed the following programs/algorithms for monitoring human activities and recognizing human behaviors: (1) control programs for a mobile robot to track and follow a human subject by three different viewpoints; (2) algorithms for analyzing lower limb joint angles from RGB-D images from a Kinect sensor setup at a mobile robot; and (3) algorithms for recognizing human gait behavior. In (1), side viewpoint, front/back viewpoint and a middle angle viewpoint (between two former viewpoints) tracking were developed. In (2), depth image compensation with colored markers was implemented to deal with the skeleton point extraction error caused by mixing-up and frame flying of depth image during tracking and following human subjects by the mobile robot. In (3), we have proposed a hidden Markov model (HMM) based human behavior recognition using lower limb joint angles and trunk angle. Experimental results showed that joint trajectory could be measured and analyzed with high accuracy compared to a motion tracking system, and human behavior could be recognized from the joint trajectory.

Towards Long-Term Deployment of a Mobile Robot for at-Home Ambient Assisted Living of the Elderly

2019 ◽  
Author(s):  
Matteo Luperto ◽  
Javier Monroy ◽  
J. Raul Ruiz-Sarmiento ◽  
Francisco-Angel Moreno ◽  
Nicola Basilico ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
The Elderly ◽  
At Home

scholarly journals Service Robot Operated by CDMA Networks for Security Guard at Home

10.5772/6058 ◽  
2008 ◽  
Author(s):  
JeGoon Ryu ◽  
ByeongChoel Yoo ◽  
Toshihiro Nishimur
Keyword(s):  
Service Robot ◽  
Security Guard ◽  
Cdma Networks ◽  
At Home

An Application of Campro-R (Mobile Robot with Camera and Projector) at home - A speculation about structuring information indoors

2006 ◽  
Author(s):  
Hiroaki Kawata ◽  
Tamotsu Machino ◽  
Satoshi Iwaki ◽  
Yoshito Nanjo ◽  
Ken-ichiro Shimokura
Keyword(s):  
Mobile Robot ◽  
At Home

scholarly journals Analysis of the Problems Existing in Mechanical Structure Design of The Legged Mobile Robot

2018 ◽  
Vol 151 ◽  
pp. 02007
Author(s):  
MingJuan Xie ◽  
ChunYan Zhang ◽  
XingLu Yin
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Research Methods ◽  
Current Situation ◽  
Structure Design ◽  
Mechanical Structure ◽  
At Home

Based on the analysis of the research background and current situation of the legged mobile robots at home and abroad, in this paper we discusses the existing research methods of the legged mobile robot in the mechanical structure design; discusses the mainproblems in the design of the mobile robot, and to focus on the emergence of instability and poor adaptability and obstacle-surmounting performance of the legged mobile robot to find the corresponding solution in the process of movement.

scholarly journals Extending the Application of an Assistant Personal Robot as a Walk-Helper Tool

Robotics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 27 ◽  
Author(s):  
Palacín ◽  
Clotet ◽  
Martínez ◽  
Martínez ◽  
Moreno
Keyword(s):  
Mobile Robot ◽  
User Interaction ◽  
Automatic Generation ◽  
Physical Support ◽  
Higher Weights ◽  
Personal Robot ◽  
Walking Aid ◽  
At Home

This paper presents the application of a mobile robot designed as an Assistant Personal Robot (APR) as a walk-helper tool. The hypothesis is that the height and weight of this mobile robot can be used also to provide a dynamic physical support and guidance to people while they walk. This functionality is presented as a soft walking aid at home but not as a substitute of an assistive cane or a walker device, which may withstand higher weights and provide better stability during a walking. The APR operates as a walk-helper tool by providing user interaction using the original arms of the mobile robot and by using the onboard sensors of the mobile robot in order to avoid obstacles and guide the walking through free areas. The results of the experiments conducted with the walk-helper have showed the automatic generation of smooth walking trajectories and a reduction in the number of manual trajectory corrections required to complete a walking displacement.

Self-Position Detection System Using a Visual-Sensor for Mobile Robots

1999 ◽  
Vol 11 (1) ◽  
pp. 17-24
Author(s):  
Takayuki Tanaka ◽  
◽  
Yasunori Yamazaki ◽  
Hiroki Watanabe ◽  
Takeshi Katae ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Detection System ◽  
The Other ◽  
Office Building ◽  
Visual Sensor ◽  
Office Environment ◽  
Position Detection ◽  
Security Guard ◽  
The Relationship

We have been developing an intelligent mobile robot for use as an office building secretary or aid during the day and a security guard or maintenance engineer, e.g., for cleaning floors, at night. Since the robot works and moves autonomously among people in an office environment, it must be able to recognize its own location and environment. We proposed two types of self-positoin detection based on a visual sensor. One is global self-positioning (GSP) by recognizing a room number. The other is local self-positioning (LSP) calculating the relationship between the robot and three light landmarks such as two exit lamps and a fire hydrant lamp in corridors. Experiments verified the effectiveness of the robot's self-position detection.

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