Postdoctoral Researcher at KTH Royal Institute of Technology
Stockholm, Stockholm County, Netherlands
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Summary
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Rodrigo Dattari is a postdoctoral researcher specializing in robot learning and control with roughly a decade of experience developing adaptive, safe robotic systems for unstructured environments. Trained as an electrical engineer at Universidad de Chile and holding a Ph.D. from TU Delft, he has advanced imitation-learning methods using control-theoretic priors and scaled task planning with graph-based knowledge and large language models. His applied work includes proof-of-concept deployments in greenhouse and poultry processing settings, highlighting a focus on real-world impact and human-friendly interactive learning. Rodrigo’s background in RoboCup robot soccer and hands-on hardware/software development gives him a pragmatic edge in turning research into deployable systems. Based in Stockholm, he now combines academic rigor with practical engineering to help non-experts program and safely operate robots in complex environments.
8 years of coding experience
6 years of employment as a software developer
Master of Science in Electrical Engineering, Robot Learning, Master of Science in Electrical Engineering, Robot Learning at Universidad de Chile
A python implementation of the COACH algorithm for the Cartpole problem in OpenAI gym.
Contributions:21 commits, 1 PR, 19 pushes in 9 months
openai-gympython
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