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.

3+
Years in Robotics
International Awards
5+
Competitive Projects

Professional Experience

Researcher

CTU VRAS Group • Vision for Robotics and Autonomous Systems
2025 – Present
Prague, Czech Republic
  • 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
Python C++ PyTorch ROS OpenCV Linux Git

Research Assistant

CTU VRAS Group • Vision for Robotics and Autonomous Systems
2022 – 2025
Prague, Czech Republic
  • 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
Python C++ Linux Embedded Systems Computer Vision ROS

Education

PhD Cybernetics and Robotics

Czech Technical University in Prague 2025 – Present

Research 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 – 2025

Thesis: "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
Valeo scolarship • 2023-2025

BSc Cybernetics and Robotics

Czech Technical University in Prague 2020 – 2023

Thesis: "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
Dean's award for bachelor's thesis

Technical Skills

Programming Languages

Python C/C++ LaTeX MATLAB JavaScript

Development Tools

Linux Vim Git ROS PyTorch OpenCV

Robotics & Systems

Computer Vision Autonomous Navigation Sensor Integration Real-time Systems Hardware Integration Embedded Systems

Key Projects & Competitions

Porsche Engineering Student Contest

International Competition • 2nd Place • 2022

Development 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.

🥈 2nd Place 🚧 Obstacle Detection

Robosoutěž

National Competition • 1st Place • 2016

Designed 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.

🥇 1st Place 🌀 Full Maze Solve ⚡ Fastest Time

ASURO Educational Robot

Educational Project • 2017

Built 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.

🤖 Full Assembly 🎯 Line Following 🚧 Obstacle Detection

Awards & Achievements

🥈

Robotour

2nd Place - International autonomous robotics competition

2025
🥈

Porsche Engineering Student Contest

2nd Place - International autonomous vehicle competition

2022
🥇

Duke of Edinburgh International Award

Gold Level Achievement - Highest international recognition

2018
📚

ASURO Educational Course

Complete robot assembly and programming certification

2017
🥇

Robosoutěž National Competition

1st Place - Maze navigation robot challenge

2016

Languages

Czech

Native

English

Fluent (C2)
Certification: CAE

French

Intermediate (B1)
Certification: DELF

Publications

Teaching Experience