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Published on: October 14, 2017
Collision Avoidance and Stability Study of a Self-Reconfigurable Drainage Robot
Rizuwana Parween1, M A Viraj J Muthugala1, Manuel V Heredia2
1Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore 487372, Singapore.
A novel hybrid quadruped robot, Tarantula-II, was developed for drain inspection and maintenance. This self-configurable robot navigates confined spaces and adapts to height changes, enhancing community hygiene.
Area of Science:
- Robotics
- Mechanical Engineering
- Environmental Engineering
Background:
- Drain inspection and maintenance are crucial for community hygiene and disease prevention.
- Existing methods are challenged by varying drain heights and confined spaces.
- A specialized robotic solution is needed to address these limitations.
Purpose of the Study:
- To develop a self-configurable hybrid robot for autonomous drain inspection and maintenance.
- To enable navigation and level adaptation in narrow, confined drain environments.
- To demonstrate the robot's capabilities in collision avoidance, stability, and level shifting.
Main Methods:
- Designed a quadruped robot (Tarantula-II) with hybrid locomotion and reconfigurable height/width.
- Incorporated linear actuators and bi-directional rolling wheels for leg mechanisms.
- Implemented a fuzzy logic system for side-wall collision avoidance and an Inertial Measuring Unit (IMU) for stability during level shifting.
Main Results:
- The Tarantula-II robot successfully demonstrated wall collision avoidance in simulated and real-world drain environments.
- The platform exhibited stable performance during level shifting using IMU feedback for height adjustment.
- The reconfigurable design allowed adaptation to varying heights and widths within the confined drain spaces.
Conclusions:
- The Tarantula-II robot offers a viable solution for autonomous drain inspection and maintenance.
- Its self-configurable hybrid locomotion and intelligent control systems enable effective navigation in challenging environments.
- The developed platform contributes to improved community hygiene and disease prevention through advanced robotics.
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