Michal Pliska

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About

Michal Pliska is a leading researcher in aerial robotics, specializing in the detection, tracking, and autonomous interception of flying objects. His work focuses on enabling highly dynamic multi-robot interactions and safe mid-air capture of non-cooperating unmanned aerial vehicles (UAVs). Pliska’s major contributions include the development of a robust, onboard LiDAR-based flying object detection system, which achieves high accuracy for real-time aerial interception tasks. He also proposed the novel Fast Response Proportional Navigation (FRPN) guidance method, designed to catch agile, maneuvering targets while relying solely on onboard state estimation. His most cited paper, "On Onboard LiDAR-Based Flying Object Detection" (2024), has garnered 22 citations, reflecting its immediate impact on the field. Additionally, his work on "Towards Safe Mid-Air Drone Interception" introduces strategies for tracking and capture using a net-equipped flying robot, addressing critical safety and precision challenges. Pliska’s research is pivotal for advancing autonomous aerial systems in applications like drone defense, search and rescue, and agile multi-robot coordination.