There has been a growing interest in development of nature-inspired miniature mobile robotics, for navigating complex ground scenarios, unknown terrains, and disaster-hit areas. One application is the development of a remotely operated vehicle (ROV) for rumen monitoring to improve our understanding of microbiology, and real-time physical changes and correlations with health. This interest is being driven from the desire to improve the safety and efficiency of food production by improving precision animal agriculture, which involves understanding the digestive system of ruminant animals and responding to the biochemical and physical changes. Most miniature robotic locomotion methods have taken inspiration from insects and have focused on adopting approaches that results in improved gait performance with respect to stability, velocity, cost-of-transport, and ability to navigate uneven surface terrains. In order to operate in the rumen environment, the locomotion mechanism should have the ability to handle large frictional and viscous forces in the direction of motion performing submerged burrowing-like action. The rumen environment consists of varying stiffness content with different fluidic concentration across the layers, reaching high viscosity and densities similar to wet soil or mud. Taking inspiration from millipedes for a locomotion mechanism to function in such an environment is attractive as these organisms have evolved to be proficient burrowers in similar substrates.
In this dissertation, the bio-mechanics of millipedes were investigated in-depth and modeled using analytical approaches. Multiple experiments were conducted on real animals to gain fundamental understanding of their locomotive abilities under varying environmental conditions. From this understanding, their gait behavior was emulated on a robotic platform to confirm the predicted dynamics and practically demonstrate the phenomena of modulating thrust force. The robotic models were also utilized to validate the parametric analysis and gain insight of the burrowing ability in varying gait behavior and body morphology. The primary features that govern the millipede behavior for effective burrowing were analyzed and utilized to design a locomotion mechanism for a rumen ROV. The design of the locomotion mechanism was tested in rumen-like media consisting of a wet mud mixture, where both locomotion thrust and steering ability were demonstrated. / Ph. D. / In this dissertation, the movement of millipedes utilize to traverse effectively within an environment that provides significant resistance is studied. Through various experimental observations and mathematical modeling, we are able to develop an understanding of the techniques millipedes use to be effective burrowers. To validate our model and understanding the millipede movement techniques, a robot was designed to emulate a millipede’s body structure and movement behavior. The performance of the millipede robot was found to be consistent with that of the biological creatures, indicating that we are able to emulate their behavior to achieve desirable tasks.
With this developed understanding of the fundamental concepts that allow millipedes to effectively move against large resistances, we introduce the ability to design robots or devices that can achieve similar performance for various applications ranging from search and rescue to health inspection. One such application is a device that traverse within the stomach (rumen) of dairy cows to investigate its biological features and characteristics for improvement in animal agricultural efficiency. The fundamental concepts of millipede motion are translated to a rumen monitoring vehicle design, which would operate in a wet-soil-like environment, similar to millipedes. The device motion techniques are demonstrated, an indication of successfully transferring the fundamental mechanism used by millipedes for an engineering application.
| Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/85042 |
| Date | 18 September 2018 |
| Creators | Garcia, Anthony Jon Chanco |
| Contributors | Mechanical Engineering, Priya, Shashank, Behkam, Bahareh, Mueller, Rolf, Kurdila, Andrew J., Marek, Paul E. |
| Publisher | Virginia Tech |
| Source Sets | Virginia Tech Theses and Dissertation |
| Detected Language | English |
| Type | Dissertation |
| Format | ETD, application/pdf, application/x-zip-compressed |
| Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
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