Dyuman Aditya
Visiting Student Researcher at ETH Zürich
Nantes, Pays de la Loire, France
Summary
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Senior🎓
Top SchoolDyuman Aditya is a robotics and embodied intelligence researcher with nine years of experience blending reinforcement learning, differentiable simulation, and neurosymbolic AI to enable adaptive, long-horizon robot behaviors. Currently a Visiting Student Researcher at ETH Zürich after research roles at ASU, CMU, TU Darmstadt and industry work at Telekinesis, he has built RL toolkits, vision and 6D pose pipelines, PyBullet environments, and an explainable inference library (PyReason). His work spans both academic and industrial settings, contributing to a patent on operator-tracking control and practical prototyping of hand-mounted tracking devices. With an MSc in Advanced Robotics from Centrale Nantes and a track record optimizing policies via differentiable simulation, he focuses on closing the gap between simulated training and real-world robotic performance. Notably, he combines strong software engineering skills with explainability and simulation-aware policy optimization to push real-world deployment of adaptive robotic systems.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Mathematics and Physics, Bachelor of Science - BS, Computer Science, Mathematics and Physics at Sri Aurobindo International Centre of EducationMSc in Advanced Robotics, MSc in Advanced Robotics at Ecole centrale de Nantes
English, French, Tamil, Sanskrit
Github Skills (105)
logic10
logic-programming10
python9
pcl9
responsive9
machine-learning9
jekyll-theme9
jekyll9
scanning9
point-cloud9
computer-vision8
localization8
robotics8
cpp8
ros8
Programming languages (7)
Github contributions (5)
lab-v2/pyreason
May 2022 - Feb 2023
An explainable inference software supporting annotated, real valued, graph based and temporal logic
Contributions:99 releases, 3 reviews, 232 commits in 9 months
logiclogic-programmingmachine-learningneurosymbolicpython
lab-v2/pyreason-gym
Apr 2023 - Dec 2023
An OpenAI wrapper for PyReason to use in a Grid World reinforcement learning setting
Contributions:1 review, 10 PRs, 88 pushes in 8 months
gymgym-environmentlogiclogic-programmingmachine-learning
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