Title
Autonomous Human Tracking Of Multiple Robotic Lamps
Abstract
This paper proposes an automatic lighting system using multiple 3-DOF robotic lamps. The robotic lamp is a spherical type parallel mechanism with a unique forward kinematic solution. In order to minimize the dynamic load, three motors are installed at the base frame and a counter balancing design is performed. Using the coordinate transformation between the environment coordinate and the robot coordinate, the position data of the human is converted to three output angles of the robotic lamp. Positions of people are measured by a laser scanner, and in order to track the positions of people accurately by multiple robotic lamps, the Kalman filter algorithm and a data association algorithm were applied. In experiment, three robotic lamps were employed to track three people independently. For each lamp, two tilting angles are controlled for a localized light and the zoom mechanism is employed to control the intensity of the light.
Year
DOI
Venue
2012
10.1109/ICRA.2012.6225183
2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA)
Keywords
Field
DocType
kalman filters,mobile robots,kalman filter,motor,sensor fusion,attitude control,dynamic load,laser scanner,gears,couplings,robot kinematics,object tracking,coordinate transformation
Coordinate system,Kinematics,Control theory,Attitude control,Control engineering,Artificial intelligence,Computer vision,Zoom,Robot kinematics,Video tracking,Engineering,Robot,Mobile robot
Conference
Volume
Issue
ISSN
2012
1
1050-4729
Citations 
PageRank 
References 
0
0.34
7
Authors
5
Name
Order
Citations
PageRank
Dae-Keun Yoon100.34
Yun-Seok Lee2284.38
Jong Tae Seo333.92
Shengnan Gai4152.22
Byung-Ju Yi544474.48