Max Robotics — Global Service Robot Directory + US Certification

About

Katarzyna Filus is a robotics researcher focused on advancing autonomous navigation for indoor and vehicular environments. Her work centers on Simultaneous Localization and Mapping (SLAM), sensor configuration, and real-time testing frameworks for autonomous ground vehicles (AGVs). She has made major contributions by developing simulation-based evaluation tools that bridge the gap between theoretical algorithms and practical deployment. Her most cited work, "LiDAR Point Cloud Generation for SLAM Algorithm Evaluation" (35 citations), addresses the critical need for accurate, versatile simulation frameworks in autonomous driving. She further explored optimal hardware configurations for 2D SLAM using Google Cartographer (20 citations), demonstrating how sensor selection impacts performance in GNSS-denied indoor spaces. Filus also pioneered real-time testing platforms for vision-based AGV systems using ArUco markers and UDP bridges, enabling safe, iterative validation of deep learning perception models. Her research is notable for its practical emphasis on building robust testing ecosystems—from point cloud generation to hardware benchmarking—directly supporting the development of Level 4 and 5 autonomous vehicles. With a growing citation footprint, Filus is establishing herself as a key figure in simulation-driven robotics evaluation.