Mariusz Wzorek
Papers
11
Total Citations
240
H-Index
7
About
Mariusz Wzorek is a prominent researcher specializing in autonomous robotics, unmanned aerial vehicles (UAVs), and collaborative robotic systems. His work spans foundational challenges in robot autonomy, from low-level control and navigation to high-level multi-agent coordination and distributed situation awareness. Wzorek's early contributions established important groundwork for autonomous UAV operation, including a visual servoing system for indoor micro UAV exploration (52 citations) and a comprehensive navigation framework for autonomous aerial vehicles (32 citations). His control system framework based on extended state machines (33 citations) provided researchers with practical tools for designing and testing autonomous robots. More recently, he advanced the field of intelligent control through stochastic model-predictive collision avoidance using Bayesian policy optimization (44 citations) and deep learning-based quadcopter control via risk-aware active learning (43 citations), demonstrating a sophisticated understanding of probabilistic and data-driven approaches to robotic decision-making. His later research has shifted toward collaborative robotics and distributed cognition, exploring knowledge sharing frameworks, RDF graph synchronization, and active query-based mission planning for multi-agent systems. Collectively, Wzorek's body of work reflects a career dedicated to bridging theoretical control methods with real-world autonomous systems, making meaningful contributions across both aerial robotics and collaborative intelligence research.
Research Focus
Key Achievements
Top Papers
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- 3Deep Learning Quadcopter Control via Risk-Aware Active Learning43 citations · 2017
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- 7Evaluation of reactive obstacle avoidance algorithms for a quadcopter9 citations · 2016
- 8Leveraging active queries in collaborative robotic mission planning4 citations · 2024
- 9RGS$$^\oplus $$: RDF graph synchronization for collaborative robotics4 citations · 2023
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