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Wheel & Track hybrid robot platform for optimal navigation in an urban environment

Title
Wheel & Track hybrid robot platform for optimal navigation in an urban environment
Authors
Kim, JinwooKim, Yoon-GuKwak, Jeong-HwanHong, Dae-HanAn, Jinung
DGIST Authors
Kim, Jinwoo; Kim, Yoon-Gu; Kwak, Jeong-Hwan; Hong, Dae-Han; An, Jinung
Issue Date
2010
Citation
SICE Annual Conference 2010, SICE 2010, 881-884
Type
Conference
Article Type
Conference Paper
ISBN
9784907764364
Abstract
Various robot platforms are used for tasks in a variety of disaster fields. For public safety in some urban environments, a novel wheel and track hybrid robot platform which is able to perform fast navigation in flatland and stairs is developed. For its applicability on various environments, we devised a transformable track structure which can climb stairs and navigate the flat floor rapidly. The transformable track can transfer the power with three actuators. Track arms installed in front, rear, and side are used for mode change between floor-navigation and stair-climbing. When the robot navigates on a flatland, tracks on its left and right side are down-folded and kept up folded posture in which four wheels are exposed to the outside of tracks. In this floor-navigation mode, the robot fast navigates flat floors without contact between tracks and the floor. When the robot ascends stairs, the robot spreads tracks until they enclose four wheels. In the stair-climbing mode, two tracks are working. The wheel and track hybrid robot platform was verified by real-navigation experiments in some indoor test-bed environments. The experimental result shows that the developed robot platform has good performance in climbing stair with two tracks and navigating flatland. The platform's maximum speed on flatland is 7.2 km/h and its maximum slope to climbing is an angle of 45 degrees. © 2010 SICE.
URI
http://hdl.handle.net/20.500.11750/3960
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
Files:
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Collection:
Convergence Research Center for Wellness2. Conference Papers
Division of IoT∙Robotics Convergence Research2. Conference Papers
Convergence Research Center for Wellness2. Conference Papers


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