Alexander Kolarow

Papers

Total Citations

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About

Alexander Kolarow is a robotics researcher specializing in multi-sensor perception, human-robot interaction, and real-time tracking systems. His work addresses the critical challenge of enabling robots to perceive and interact with humans in dynamic environments. Kolarow’s most cited paper (15 citations) introduces an automatic calibration method for stationary networks of laser range finders by matching movement trajectories, a key contribution for scaling person detection and tracking from single mobile robots to larger observational spaces. This work is foundational for applications in surveillance, autonomous navigation, and ambient assisted living. He also developed a vision-based hyper-real-time object tracker (9 citations) that employs a sparse template feature set, achieving faster performance than conventional descriptive-feature methods—a significant advancement for mobile robotics and responsive human-robot interaction. By combining laser and vision modalities, Kolarow’s research bridges the gap between robust spatial awareness and high-speed visual processing. His contributions are particularly notable for their practical focus on calibration and tracking efficiency, enabling more autonomous and interactive robotic systems. With a citation footprint that continues to grow, Kolarow is recognized for advancing the state of the art in real-time perception for human-centered robotics.