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A Novel Pneumatic Soft Snake Robot Using Traveling-Wave Locomotion in Constrained Environments
- Source :
- IEEE Robotics and Automation Letters. 5:1610-1617
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- In this paper we propose a novel pneumatic soft snake robot which exploits traveling-wave motion to move in complex, constrained environments such as a pipeline. The robot is modular, with a unique pneumatic system design that requires the use of only four air channels regardless of the number of modules. The robot is 3D-printed, and thus low-cost and easy to build. Finite element modeling of the bending behavior of each module is conducted in ANSYS. The dynamic behavior of the robot, consisting of six modules, is further modeled in SOFA. In particular, it is found that the locomotion speed of the robot increases with the actuation pressure and decreases with the friction coefficient. Extensive experimental results on a snake robot prototype show good agreements with model predictions. The robot also demonstrates the capability of moving in constrained pipeline environments, including travelling in pipes of different diameters and challenging geometry such as a sharp elbow.
- Subjects :
- 0209 industrial biotechnology
Control and Optimization
Bending (metalworking)
Computer science
Biomedical Engineering
02 engineering and technology
Bending
Computer Science::Robotics
020901 industrial engineering & automation
Artificial Intelligence
Traveling wave
Simulation
business.industry
Mechanical Engineering
Modular design
021001 nanoscience & nanotechnology
Pipeline (software)
Finite element method
Computer Science Applications
Human-Computer Interaction
Control and Systems Engineering
Systems design
Robot
Computer Vision and Pattern Recognition
0210 nano-technology
business
Subjects
Details
- ISSN :
- 23773774
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- IEEE Robotics and Automation Letters
- Accession number :
- edsair.doi...........bbe6853ea04c79b39652b9eb6f7e81a3
- Full Text :
- https://doi.org/10.1109/lra.2020.2969923