Papers
2
Total Citations
9
H-Index
2
About
Kevin Bregler is at the forefront of advancing automation in field robotics and logistics, with a focus on creating practical, scalable solutions for real-world applications. His key research areas include modular automation systems for agricultural robots and optimization algorithms for mobile robot routing. Bregler’s major contribution is the development of a modular and scalable charging and navigation concept for electrified field robots, which integrates an underbody charging system on a trailer with a versatile navigation box. This work, published in 2021 with 7 citations, addresses critical challenges in agricultural automation by enabling efficient, continuous operation of field robots. Additionally, Bregler has applied Ant Colony Optimization to solve the Capacitated Vehicle Routing Problem with Pickup and Delivery for mobile robots in retail settings (2023, 2 citations), demonstrating his ability to bridge theoretical optimization with practical automation needs. His work is notable for its emphasis on modularity and scalability, making advanced robotics more accessible and adaptable across industries. Bregler’s research is particularly valuable for students and researchers interested in the intersection of robotics, automation, and optimization, offering a clear pathway from concept to implementation in both agricultural and commercial environments.
Research Focus
Key Achievements
Top Papers
- 1Modular and scalable automation for field robots7 citations · 2021
- 2