Abstract
Digital Twin Roadside Vegetation Management and Real-World Verification: Roadside mowing operations are high risk for all crew members working alongside moving traffic and challenging terrain. Autonomous mowers could remove the need for a human presence along the right-of-way. To study the feasibility of this technology, a digital-twin robotic simulator was developed for testing and evaluating real-world Indiana test segments. Real-world verification was then performed on unmanned mowing platforms to validate the simulated results. Join us to learn more.
Session Number
56
Session Title
The Future of Roadside Mowing Operations
Track Title
Maintenance & Operations
Location
UC 114
Date of Version
2025
Recommended Citation
Mardikes, Michael A.; Sprague, Nathan C.; Wiegman, Timothy J.; and Evans, John T., "RIGHT OF WAY (ROW) AUTONOMOUS MOWING PROJECT" (2025). Purdue Road School. 74.
https://docs.lib.purdue.edu/roadschool/2025/presentations/74
Start Date
3-18-2025 4:00 PM
End Date
3-18-2025 4:50 PM
RIGHT OF WAY (ROW) AUTONOMOUS MOWING PROJECT
UC 114
Digital Twin Roadside Vegetation Management and Real-World Verification: Roadside mowing operations are high risk for all crew members working alongside moving traffic and challenging terrain. Autonomous mowers could remove the need for a human presence along the right-of-way. To study the feasibility of this technology, a digital-twin robotic simulator was developed for testing and evaluating real-world Indiana test segments. Real-world verification was then performed on unmanned mowing platforms to validate the simulated results. Join us to learn more.
