Brian G. Kilberg
Papers
2
Total Citations
15
H-Index
2
About
Brian G. Kilberg is a leading researcher in swarm robotics and autonomous exploration, with a focus on developing scalable, infrastructure-free localization and mapping systems. His work addresses a critical challenge in robotics: enabling teams of small, low-cost robots to navigate and map unknown environments without relying on external positioning systems like GPS or pre-deployed beacons. In his highly cited 2020 paper, "Atlas: Exploration and Mapping with a Sparse Swarm of Networked IoT Robots" (8 citations), Kilberg introduced a novel algorithm that allows a sparse swarm of Internet-of-Things (IoT) robots to collaboratively explore and build a map of an unknown area, a fundamental capability for applications ranging from search-and-rescue to environmental monitoring. Complementing this, his work "Quadrotor-Based Lighthouse Localization with Time-Synchronized Wireless Sensor Nodes and Bearing-Only Measurements" (7 citations) demonstrates a method for drones to localize using only bearing measurements from time-synchronized wireless nodes, eliminating the need for pre-installed infrastructure. With a growing citation impact, Kilberg’s contributions are paving the way for practical, deployable multi-robot systems that can operate autonomously in remote or disaster-stricken environments.
Research Focus
Key Achievements
Top Papers
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