PhD Student | Robot Learning & Robotics
About Me
I am a PhD student in Computer Science–Robotics at Georgia Tech, advised by Prof. Jesse Thomason. My research focuses on robot learning, vision-language-action models, manipulation, and reliable robot behavior, with an emphasis on building learning systems that remain robust under real-world distribution shifts.
I work across VLA failure detection, learning from demonstration, multimodal robot learning, assistive manipulation, and robot perception, with hands-on experience on the Franka Research 3, DROID, Hello Robot Stretch, and Kinova Jaco platforms.
- Robot Learning
- Vision-Language-Action Models
- Robot Manipulation
- Robot Safety & Failure Detection
- Learning from Demonstration
- Assistive Robotics
- Multimodal Learning
PhD, Computer Science - Robotics
Georgia Institute of Technology
MS, Computer Science
University of Southern California
BE, Computer Science and Engineering
University Visvesvaraya College of Engineering, Bangalore University
I build learning-based robotic systems that can understand multimodal inputs, manipulate the physical world, and recognize when their behavior is likely to fail.
Robot Learning & VLA Safety
Robust failure detection and calibration for vision-language-action policies under visual, language, and state distribution shifts.
Learning from Demonstration
RGB-D perception, visual servoing, gesture-based demonstrations, multimodal trajectory collection, replay, and policy-training pipelines on real robots.
Manipulation & Assistive Robotics
Assistive dressing, contact-rich manipulation, trajectory optimization, perception, and robot teleoperation.
Selected work spanning robot learning, real-robot systems, manipulation, and assistive robotics.
Recent work in robot learning, world models, manipulation, perception, and human-robot interaction.
