Krystian Góra · Researcher · Max Robotics

About

Krystian Góra is a researcher at the forefront of energy-efficient mobile robotics, specializing in the intersection of machine learning and autonomous systems. His work addresses a critical challenge in robotics: accurately predicting and minimizing energy consumption to enhance the reliability and operational range of unmanned vehicles. Góra’s most impactful contribution is a novel machine learning-based approach for creating energy consumption models for Unmanned Aerial Vehicles (UAVs), a paper that has garnered 30 citations and is foundational for reducing robot maintenance costs. He has further advanced the field by systematically comparing energy prediction algorithms—including artificial neural networks and analytical models—for differential and skid-steer drive robots across various ground surfaces (11 citations). His comprehensive review on energy utilization prediction techniques for heterogeneous mobile robots (6 citations) synthesizes the state of the art, identifying key challenges and opportunities for safe, long-duration autonomy. Through this body of work, Góra is establishing himself as a key voice in making mobile robots more intelligent and energy-aware, directly contributing to their broader deployment in real-world applications.