Professional Summary
Robotics Engineer and Researcher specializing in autonomous mobile systems and computer vision with hands-on experience in both software and hardware integration. Currently pursuing PhD research in Cybernetics and Robotics at Czech Technical University, focusing on vision-based navigation and control systems for autonomous robots.
Proven track record in competitive robotics with 1st and 2nd place finishes in international contests, including the Porsche Engineering Student Contest. Experienced in developing complete autonomous systems from sensor integration to pathfinding algorithms. Duke of Edinburgh Gold Award recipient with strong project management and leadership skills.
Professional Experience
Researcher
CTU VRAS Group • Vision for Robotics and Autonomous Systems- Conducting PhD research in cybernetics and robotics focusing on advanced vision-based navigation and control systems for autonomous mobile robots
- Developing novel algorithms for real-time object detection, path planning, and sensor fusion in dynamic environments
- Collaborating with interdisciplinary research team on cutting-edge autonomous systems projects combining computer vision, control theory, and embedded systems
- Designing and implementing experimental setups for validation of perception and navigation algorithms in both simulated and real-world environments
Research Assistant
CTU VRAS Group • Vision for Robotics and Autonomous Systems- Developed software solutions for autonomous mobile robots including computer vision algorithms, motion control systems, and sensor integration
- Designed and implemented hardware interfaces for various robotic platforms, ensuring seamless integration between custom software and hardware
- Contributed to multiple research projects within the VRAS group, focusing on perception systems, navigation algorithms, and autonomous behavior implementation
- Participated in system-level testing and validation of autonomous robot prototypes in both controlled laboratory settings and real-world deployment scenarios
Education
PhD Cybernetics and Robotics
Czech Technical University in Prague 2025 – PresentResearch Focus: Advanced vision-based navigation and control systems for autonomous mobile robots
- Advanced Robotics – Joining of vision-based methods with physics informed prior
- Computer Vision – Deep learning for 3D perception and object recognition
- Autonomous Systems – Motion planning, SLAM, and sensor fusion
- Machine Learning – Reinforcement learning for robotic applications
MSc Cybernetics and Robotics
Czech Technical University in Prague 2023 – 2025Thesis: "Unsupervised Approaches for 4D Panoptic Segmentation in LiDAR Driving Scenes"
- Robotic Perception – Sensor fusion and machine learning methods
- Mobile Robotics – Path planning and obstacle avoidance algorithms
- Control Systems – Nonlinear control and adaptive algorithms
- Digital Signal Processing – Real-time filtering and sensor data processing
BSc Cybernetics and Robotics
Czech Technical University in Prague 2020 – 2023Thesis: "Autonomous Road Crossing with a Mobile Robot"
- Cybernetics – Introduction to computer vision, machine and reinforcement learning
- Control Engineering – PID controllers and system identification
- Computer Architecture – Low-level programming and optimization
- Maths and Physics
Technical Skills
Programming Languages
Development Tools
Robotics & Systems
Key Projects & Competitions
Porsche Engineering Student Contest
International Competition • 2nd Place • 2022Development of software for autonomous 1:10 scale vehicle capable of high-speed circuit navigation, road sign recognition, and real-time obstacle avoidance. Competed against teams from European universities in accuracy and speed challenges.
Robosoutěž
National Competition • 1st Place • 2016Designed and programmed autonomous maze-solving robot capable of line following, pathfinding, and return navigation. Achieved fastest completion time through optimized control algorithms and sensor fusion.
ASURO Educational Robot
Educational Project • 2017Built and programmed ASURO educational robot platform implementing line following, obstacle detection, and basic autonomous behaviors. First hands-on experience with embedded robotics and sensor integration.
Awards & Achievements
Robotour
2nd Place - International autonomous robotics competition
2025Porsche Engineering Student Contest
2nd Place - International autonomous vehicle competition
2022Duke of Edinburgh International Award
Gold Level Achievement - Highest international recognition
2018ASURO Educational Course
Complete robot assembly and programming certification
2017Robosoutěž National Competition
1st Place - Maze navigation robot challenge
2016