Arjun Gupte
I am a Senior at Purdue University pursuing a Bachelor's degree in Computer Engineering with concentrations in AI/ML and Computer Systems.
I am a Research Assistant at the Purdue Smart Machine and Assistive Robotics Technology (SMART) Lab, advised by Dr. Byung-Cheol Min. My research focuses on human-robot collaboration, specifically, Foundation Models for preference-based task allocation in multi-human multi-robot teams.
I am also part of the Purdue Pre-Trained Models in Deep Learning (PTM-DL) Research Team, advised by Dr. James Davis. My research focuses on leveraging Foundation Models and Reinforcement Learning for multi-objective optimization of software source code for improved performance across various computing metrics (e.g. latency, runtime, energy use).
I am passionate about building a future where robots seamlessly support people in everyday tasks. I’m driven by the challenge of enabling physical AI agents to learn from and about humans - efficiently and at scale, while generalizing to diverse real-world settings. I hope to advance data-efficient vision, language, and preference-learning techniques so robots can acquire skills, understand human intentions, and continually adapt to evolving needs when performing complex, unstructured tasks.
