Summary
Roman Zashchitin is a researcher in artificial intelligence and robotics with 11 years of hands-on experience developing control algorithms, rapid robotic prototypes, and sim-to-real solutions. Trained at ITMO University (BSc and MSc in Mechatronics and Robotics), he combines C++, Python, ROS/ROS2, MATLAB and deep learning frameworks (TensorFlow, PyTorch) to bridge research and deployable robot software. His work spans academic and industrial labs—from Sberbank’s robotics group where he moved controllers from simulators to a Unitree A1, to leading AI and robotics research at Deggendorf Institute of Technology. Known for pragmatic prototyping and rigorous academic grounding, he often pairs reinforcement learning techniques with real-time Linux systems to solve walking and control challenges. Based in Cham, Germany, he brings both research depth and production-oriented engineering to robotics projects.
11 years of coding experience
3 years of employment as a software developer
Master's degree, Mechatronics and Robotics, 5, Master's degree, Mechatronics and Robotics, 5 at ITMO University
Bachelor's degree, Mechatronics and Robotics, 4,36, Bachelor's degree, Mechatronics and Robotics, 4,36 at Университет ИТМО
Russian, English, German