Issue |
MATEC Web of Conferences
Volume 42, 2016
2015 The 3rd International Conference on Control, Mechatronics and Automation (ICCMA 2015)
|
|
---|---|---|
Article Number | 03006 | |
Number of page(s) | 6 | |
Section | Robot design and development | |
DOI | https://doi.org/10.1051/matecconf/20164203006 | |
Published online | 17 February 2016 |
Design and modeling of an autonomous multi-link snake robot, capable of 3D-motion
Notre Dame University – Louaize, Zouk Mosbeh, Lebanon
a Corresponding author: nmetni@ndu.edu.lb
The paper presents the design of an autonomous, wheeless, mechanical snake robot that was modeled and built at Notre Dame University – Louaize. The robot is also capable of 3D motion with an ability to climb in the z-direction. The snake is made of a series links, each containing one to three high torque DC motors and a gearing system. They are connected to each other through Aluminum hollow rods that can be rotated through a 180° span. This allows the snake to move in various environments including unfriendly and cluttered ones. The front link has a proximity sensor used to map the environment. This mapping is sent to a microcontroller which controls and adapts the motion pattern of the snake. The snake can therefore choose to avoid obstacles, or climb over them if their height is within its range. The presented model is made of five links, but this number can be increased as their role is repetitive. The novel design is meant to overcome previous limitations by allowing 3D motion through electric actuators and low energy consumption.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.