Max Robotics — Global Service Robot Directory + US Certification

About

B. Harasymowicz-Boggio is a robotics researcher whose work focuses on enabling mobile robots to intelligently perceive and navigate indoor environments. Their key research areas include semantic mapping, object classification, and sensor fusion for autonomous navigation. A central contribution is the development of a BIM-based indoor navigation system for the Hermes mobile robot, which integrates building information models with real-time sensor data to improve localization and path planning—a foundational paper that has garnered 17 citations. Harasymowicz-Boggio has also advanced object recognition by incorporating contextual and semantic information, addressing the challenge of classifying both simple and complex objects in realistic settings. Notably, they have applied Dempster-Shafer theory to place and object classification, allowing robots to reason under uncertainty by fusing evidence from multiple sources. Their work on integrating qualitative and quantitative spatial data into semantic maps has further enhanced service robots’ ability to understand and navigate human-centric spaces. With additional contributions to nature-inspired parallel recognition and building safety control, Harasymowicz-Boggio’s research bridges theoretical reasoning and practical deployment, making indoor robotics more robust and context-aware.