Meet the Team
Principal Investigator
Dr. Rohan Paleja
Principal Investigator
Assistant Professor in the Department of Computer Science at Purdue University.
Ph.D. Students
Aarav Sane
Ph.D. Student
My current research interests lie in Multi Agent Reinforcement Learning and Interpretable ML with an interest in intersections with biological problems.
Wei Sheng
Ph.D. Student
My research focuses on human–AI collaboration and cooperative multi-agent reinforcement learning, with the goal of enabling learning-based agents to coordinate effectively and robustly in complex, human-rich dynamic environments.
Guanyan Ou
Ph.D. Student
My research focuses on the robustness of multi-agent systems, leveraging a background in adversarial attacks, computer vision, and language models with the goal of developing resilient collaborative robotic systems.
Xinchen Jin
Ph.D. Student
My current research centers on VLA models, world models, and leveraging mechanistic interpretability to understand and improve the generalizability of learned embodied policies.
Yuyang Chen
Ph.D. Student
My current research focuses on the organization of large-scale multi-agent systems with learning. The idea is to leverage structured learning via a hierarchy to reduce the computational demands of deploying these agents.
Daniel Chen
Ph.D. Student
My current research focuses on fast multi robot coordination. My research goal is to enable safe collaboration in fast paced environments such as table tennis.
Master's Students
Harshit Moondra
M.S. Student
My current research interests lie in creating failure aware multi-agent systems and at the intersection of controls and learning based methods, with the goal of creating resilient robotic infrastructures capable of handling real-world uncertainties.
Karthik Sivachandran
M.S. Student
My research interests lie in the fields of multi-agent reinforcement learning and game theory.
Udit Ekansh
M.S. Student
My research interests include robot learning from demonstration, reinforcement learning, and human-robot interaction. I am particularly interested in integrating ideas from cognitive science and control theory to enable learning-based systems to exploit structured variability in human behavior for safe and reliable decision-making under uncertainty.
Undergraduate Researchers
Aditya Chatterjee
Undergraduate Researcher
My current research focuses on mechanistic interpretability in vision-language-action models and belief tracking in partially observable adversarial game environments.
Jacob Xu
Undergraduate Researcher
My current research focuses on multi-agent collaborations and human machine teaming in open world environment.