Papers
4
Total Citations
12
H-Index
2
About
David Oberacker is a robotics researcher focused on enabling heterogeneous robot teams to operate autonomously and efficiently in complex, real-world missions. His core research areas include distributed behavior trees, multi-robot task allocation, and scalable autonomy for teams of diverse mobile robots. Oberacker’s major contributions center on developing novel frameworks that allow robots with different capabilities—such as varied sensors, mobility, or manipulation skills—to collaboratively plan and execute tasks without centralized control. His work on distributed behavior trees provides a formal, modular approach to mission definition and coordination, ensuring that heterogeneous teams can adapt dynamically to changing conditions. With his most-cited papers accumulating citations from 2023 and 2024, Oberacker’s research is gaining traction in the growing field of multi-robot systems. Notably, his 2023 paper “Distributed Behavior Trees for Heterogeneous Robot Teams” and the related “Efficient Scalable Autonomy Approach” lay the groundwork for balancing autonomous efficiency with operator reliability—a critical challenge for deploying robots in exploration, search-and-rescue, and industrial settings. Oberacker’s work is paving the way for more capable, flexible, and trustworthy robot teams.
Research Focus
Key Achievements
Top Papers
- 1Distributed Behavior Trees for Heterogeneous Robot Teams4 citations · 2023
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- 4Distributed Behavior Trees for Heterogeneous Robot Teams2 citations · 2023