Aditya Mittal
Aditya Mittal is a Master's student in Computer Science at UC Irvine, where he works with Unnat Jain on robot learning and dexterous manipulation. He is known for his research on GLIDE, a framework that generates executable guardrails for robot manipulation tasks that are difficult for humans to demonstrate, which raised data-collection success rates from 0-10 percent to 70-90 percent across three tasks. He earned his BS in Statistics with highest honors at UC Davis and received an Honorable Mention for the CRA Outstanding Undergraduate Researcher award in 2025. He is listed as an author affiliated with Physical Intelligence.
“"After refinement, GLIDE raises data-collection success from 0–10% to 70–90% across the three tasks"”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.