Łukasz Chojnacki
Senior Software Engineer at Robotec.ai
Lower Silesian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolŁukasz Chojnacki is a Senior Software Engineer with 9 years of hands-on experience building autonomous driving systems, robotics platforms, and simulators. Based in Lower Silesia, Poland, he has progressed from embedded Linux and Android RIL work to leading development on Autoware, AWSIM and scenario_simulator_v2, and now holds a senior role at Robotec.ai. He contributes to prominent open-source projects like tier4/AWSIM, where he extended lidar support (Ouster OS1-64, Velodyne VLP32C) and improved simulation fidelity by resolving NPC overlap issues. Łukasz combines deep robotics and ROS expertise with full-stack simulator development, and his background as a startup CTO/CEO gives him product-minded leadership alongside technical craft. He holds an MS in Control Engineering and Robotics and often bridges sensor modeling, motion planning, and practical system integration in real-world autonomous platforms.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS Control Engineering and Robotics specialization Embedded Robotics Faculty of Electronics, Master of Science - MS Control Engineering and Robotics specialization Embedded Robotics Faculty of Electronics at Wrocław University of Science and Technology
Polish, English, Spanish
Stackoverflow
105reputation
12kreached
0answers
7questions
Github Skills (13)
unity3d10
simulations10
simulation10
autonomous-vehicles10
lidar10
csharp10
dotnet-core10
3d-models9
design-patterns6
cakephp6
android6
android-testing6
angularjs6
Programming languages (4)
Github contributions (5)
tier4/AWSIM
Oct 2022 - Jan 2023
Open source simulator for self-driving vehicles
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:13 commits, 17 PRs, 46 pushes in 2 months
Contributions summary:Łukasz contributed significantly to the `awsim` project, focusing on enhancing the simulator's lidar capabilities. They added and updated lidar models, specifically the Ouster OS1-64 and Velodyne VLP32C, by integrating sensor data and adjusting configurations within the Unity plugin. Furthermore, they addressed an issue related to NPC overlap in the simulation by modifying the lane length calculation. The contributions indicate a focus on extending sensor support and improving simulation accuracy within the autonomous driving simulator.
self-drivingsimulationsimulatorvehiclessimulator-source
lchojnack/blynk-esp8266-relay-modul
Nov 2017 - May 2023
Contributions:1 push, 1 branch in 5 years 7 months
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