Development of a smart laser range finder for an autonomous service robot

2007 ◽  
Author(s):  
Hannes Bistry ◽  
Stephan Pohlsen ◽  
Daniel Westhoff ◽  
Jianwei Zhang
Keyword(s):  
Service Robot ◽  
Laser Range Finder ◽  
Range Finder ◽  
Laser Range ◽  
Autonomous Service

scholarly journals Development of a Laser-Range-Finder-Based Human Tracking and Control Algorithm for a Marathoner Service Robot

2014 ◽  
Vol 19 (6) ◽  
pp. 1963-1976 ◽  
Author(s):  
Eui-Jung Jung ◽  
Jae Hoon Lee ◽  
Byung-Ju Yi ◽  
Jooyoung Park ◽  
Shinichi Yuta ◽  
...  
Keyword(s):  
Control Algorithm ◽  
Human Tracking ◽  
Service Robot ◽  
Laser Range Finder ◽  
Range Finder ◽  
Laser Range ◽  
And Control

Target Person Identification and Following Based on Omnidirectional Camera and LRF Sensor Fusion from a Moving Robot

2011 ◽  
Vol 23 (1) ◽  
pp. 163-172 ◽  
Author(s):  
Mehrez Kristou ◽  
◽  
Akihisa Ohya ◽  
Shin’ichi Yuta
Keyword(s):  
Target Person ◽  
Service Robot ◽  
Indoor Environments ◽  
Laser Range Finder ◽  
Panoramic Image ◽  
Range Finder ◽  
Person Identification ◽  
Laser Range ◽  
Omnidirectional Camera ◽  
Person Following

In this paper, we introduce an approach to identify and follow a target person for a service robot application. The robot is equipped with LRF and omnidirectional camera. Our approach is based on multisensor fusion in which a person is identified using the panoramic image and tracked using the Laser Range Finder (LRF). A target person selection is implemented to improve the identification when multiple candidates are detected. Our approach is successfully implemented on a mobile robot. A simplified target person following behavior is implemented to focus on the proposed method’s efficiency. Several experiments are conducted and showed the effectiveness of our approach to identify and follow human in indoor environments.

Control of Service Robot by Integration of Multiple Intermittent Sensors

2014 ◽  
Vol 939 ◽  
pp. 609-614 ◽  
Author(s):  
Liang Kuang Chen ◽  
Mao Yuan Hsiao
Keyword(s):  
Lead Time ◽  
Memory Capacity ◽  
Service Robots ◽  
Service Robot ◽  
Laser Range Finder ◽  
Range Finder ◽  
Servo Motor ◽  
Laser Range ◽  
Wireless Control ◽  
Independent Mechanism

In this paper, we design a service robot which not only can plan road to a destination by itself, but also can take an elevator to every floor. For planning road, in order to solve the Hagisonic Stargazer Robot localization system problem which in large environment will need to set a lot of landmark and this way will increase the lead time and memory capacity. So we use the concept of road nodes to combine with Stargazer landmark and Dijkstra’s algorithm. Robot can localize by itself and can plan the shortest road to a destination. In dead region of Stargazer, we integrate with a laser range finder and e-compass to assist robot in navigation, and use the laser range finder simultaneously to avoid front obstacle. For taking elevator, we design a wireless control of independent mechanism. Robot can use Xbee transmit command to control servo motor to push elevator button and use RFID to determine whether the arrival task Floor. Last, we use Borland C++ Builder to design a Human–Computer interaction. People can operate monitor to choice receiver, and we add the functions of remote call and setting code which can increase the practicability of this service robots.

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