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Full-Text Articles in Engineering
Viewpoint Optimization For Autonomous Strawberry Harvesting With Deep Reinforcement Learning, Jonathon J. Sather
Viewpoint Optimization For Autonomous Strawberry Harvesting With Deep Reinforcement Learning, Jonathon J. Sather
Master's Theses
Autonomous harvesting may provide a viable solution to mounting labor pressures in the United States' strawberry industry. However, due to bottlenecks in machine perception and economic viability, a profitable and commercially adopted strawberry harvesting system remains elusive. In this research, we explore the feasibility of using deep reinforcement learning to overcome these bottlenecks and develop a practical algorithm to address the sub-objective of viewpoint optimization, or the development of a control policy to direct a camera to favorable vantage points for autonomous harvesting. We evaluate the algorithm's performance in a custom, open-source simulated environment and observe affirmative results. Our trained …
Autonomous Vehicles Operating Collaboratively To Avoid Debris And Obstructions, Toan T. Le, Cole W. Oppenheim, James H. Gildart, Kyle M. Bybee
Autonomous Vehicles Operating Collaboratively To Avoid Debris And Obstructions, Toan T. Le, Cole W. Oppenheim, James H. Gildart, Kyle M. Bybee
Mechanical Engineering
The purpose of this project is to demonstrate the safety and increased fuel efficiency of an automated collision avoidance system in collaborative vehicle platooning. This project was cosponsored by Daimler Trucks North America headquartered in Portland, Oregon, as well as Dr. Birdsong, and Dr. DeBruhl of Cal Poly. The mechanical engineering team consists of Cole Oppenheim, James Gildart, Toan Le, and Kyle Bybee who worked in coordination with a team of computer engineers. Vehicle platooning is a driving technique to increase the fuel efficiency of a group of vehicles by following a lead vehicle closely to reduce the drag experienced …
Ares Cleaning System, Andy Sagers, John Cunningham, Peter Greig, Jack Glynn
Ares Cleaning System, Andy Sagers, John Cunningham, Peter Greig, Jack Glynn
Mechanical Engineering
In this Final Design Review, the team outlines the general scope of the ARES Cleaning System project and the final design direction chosen and built. This team consists of a group of four mechanical engineering students who have been tasked with designing and manufacturing an autonomous ARES cleaning system to help their sponsor, Fracsun, better track soiling losses measured at large solar arrays. They designed, conceptualized, manufactured, and tested throughout the project as they looked to create a final, functioning product. In creating this Final Design Review, they have identified how the product will perform the desired functions and what …