Lukas Bostelmann-Arp
Papers
1
Total Citations
2
H-Index
1
About
Lukas Bostelmann-Arp is a researcher at the forefront of autonomous systems and optimization, with a primary focus on multi-objective free-form coverage path planning. His work addresses the complex challenge of enabling robots to efficiently navigate and cover arbitrary, non-rectilinear environments—such as agricultural fields, disaster zones, or industrial sites—while balancing competing objectives like time, energy, and completeness. His most-cited paper, "Encodings for Multi-Objective Free-Form Coverage Path Planning" (2025), introduces novel algorithmic encodings that transform intricate spatial coverage problems into solvable optimization frameworks, a key step toward practical, real-world deployment of autonomous vehicles. Though early in his career, this work has already garnered attention (2 citations), signaling its foundational value. Bostelmann-Arp’s contributions bridge theoretical computer science and applied robotics, offering scalable solutions that could redefine how drones and ground robots plan missions. His achievements reflect a promising trajectory, positioning him as an emerging voice in multi-objective path planning—a field critical for advancing automation in logistics, environmental monitoring, and search-and-rescue operations.
Research Focus
Key Achievements
Top Papers
- 1Encodings for Multi-objective Free-Form Coverage Path Planning2 citations · 2025