Lucas Schulze is a Ph.D. student in Machine Learning and Robotics with eight years of experience applying control theory and embedded systems to autonomous robots. With a Master's in Electrical Engineering and a background spanning AMR development, aerial and legged platforms, he focuses on Model Predictive Control for real-world robotic systems. He has combined academic research at top institutions and hands-on integration work—leading software teams, developing predictive controllers in ROS/Gazebo, and supporting legged robot system integration. Based in Darmstadt, he brings both theoretical rigor and practical firmware/electronics skills, often bridging system modeling with applied implementation on resource-constrained hardware.
8 years of coding experience
4 years of employment as a software developer
Técnico Integrado em Eletroeletrônica, Engenharia Elétrica e Eletrônica, Técnico Integrado em Eletroeletrônica, Engenharia Elétrica e Eletrônica at Instituto Federal de Santa Catarina
Master's degree in Electrical Engineering, Control and Instrumentation, Master's degree in Electrical Engineering, Control and Instrumentation at Universidade do Estado de Santa Catarina
Contributions:42 commits, 30 pushes, 4 branches in 3 years 6 months
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Lucas Schulze - Ph.D. Student at Technische Universität Darmstadt