RESEARCH AREAS

Intelligent Systems for the Real World

Autonomous Robots

Planning, navigation, and information gathering with multi-robot systems in uncertain environments

Learning for Robotics

Machine Learning, uncertainty modeling, VLMs, and adaptive autonomy for robust decision making.

Physical AI & Education

Teaching AI through embodied systems and hands-on undergrad research experiences

FEATURED RESEARCH

Selected Projects

Autonomous robots that decide where, when, and what to sense in dynamic environments using information-theoretic planning and learning

Leveraging trajectory diffusion models and vision-language models to predict and interpret robot behaviors in complex environments

Outstanding Student Paper Award

RSS 2026

Multiple Papers Accepted

IEEE/RSJ IROS 2026

Book Chapter Published

Digital Twins in Advanced Robotics (Elsevier)

CSC 395 - Research in AI

Research-oriented course combining AI concepts, implementation, and physical robotic systems

CSC 310 - Machine Learning

CSC 220 - Data Science Fundamentals

Interested in undergraduate research?

The PAIR Lab works on exciting problems at the intersection of AI and robotics

Join the PAIR Lab

I am an assistant Professor of Computer Science at Providence.

My research explores how robots can perceive, learn, and make decisions in complex physical environments

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