Michal Vavrecka

Researcher at Czech Institute of Informatics, Robotics and Cybernetics

Prague, Prague, Czechia
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Michal Vavrecka is a cognitive robotics researcher based in Prague with nine years of research experience bridging cognitive neuroscience, EEG analysis, and humanoid robotics. He holds a PhD in General Psychology and has worked across academic labs and institutes—including CIIRC, NIMH, and the Czech Academy of Sciences—focusing on EEG-driven insights and cognitive modeling applied to embodied systems. As an assistant professor turned researcher, he combines rigorous experimental neuropsychology with hands-on development of cognitive architectures for humanoid robots. Michal maintains a public research presence through a personal and group web site and a YouTube channel, signaling a commitment to open, accessible science beyond traditional publications.
code9 years of coding experience
job13 years of employment as a software developer
bookPhD. Degree, General Psychology, PhD. Degree, General Psychology at Masaryk University, Faculty of Social Studies
bookM.A. Degree, Psychology, M.A. Degree, Psychology at Masaryk University, Faculty of Arts
languagesEnglish
github-logo-circle

Github Skills (30)

robotics10
simulator10
semantic-segmentation10
reinforcement-learning10
robotics-simulation10
pepper10
deep-learning9
python8
simulation7
ros5
robot-simulator5
spleeter5
benchmark5
discord4
youtube4

Programming languages (5)

C#CBatchfileJupyter NotebookPython

Github contributions (5)

github-logo-circle
Contributions:18 pushes, 1 branch in 5 years 6 months
incognite-lab/myGym

Dec 2020 - Jan 2023

myGym is the robotic simulator. It allows to create novel multi step long horizon tasks without coding. There are automatic task building routines, where user composes long horizon actions from basic set of protoactions, that are automatically paired with rewards. There are several humanoids and robotic arms ready to train.
Contributions:7 releases, 150 commits, 22 PRs in 2 years 1 month
roboticsreinforcement-learningmulti-step-rlpick-and-placerobotic-manipulation
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial