Max Robotics — Global Service Robot Directory + US Certification

About

Tomasz Kornuta is a robotics and computer vision researcher whose work has profoundly shaped the design and implementation of intelligent robot control systems. His foundational contributions center on developing systematic, modular frameworks for service and field robot control, most notably through the MRROC++ programming framework, which he demonstrated using a Rubik's cube-solving robot as a benchmark — a paper that has garnered 37 citations. His systematic design methodologies, including a universal architectural pattern for robot control decomposed into effectors, receptors, and control subsystems, reflect a career-long commitment to generalizable, hardware-agnostic software architectures. Kornuta has also made significant strides in computer vision, with influential work on evaluating binary descriptors of local features (41 citations) and multi-camera visual servoing for robot control (52 citations — his most cited work). His research extends to multi-robot reconfigurable fixture systems and distributed agent-based control, demonstrating versatility across industrial and service robotics domains. More recently, his involvement in the AI City Challenge (2025) reflects a growing engagement with AI-driven transportation and public safety applications. Collectively, his publications represent a rigorous, systems-oriented approach to robotics that bridges theoretical design with practical implementation.