I’m a Master's student at the University of Pennsylvania, with a Bachelor's degree from the University of Virginia. My experience spans whole-body control of humanoid robots, VLA post-training and deployment, autonomous navigation and motion, and LLM-guided reinforcement learning.
I am deeply interested in model deployment, decision learning, and human-robot collaboration within Embodied Intelligence. I focus on enabling intelligent agents to perform long-term planning and develop perception-reasoning-action capabilities in real physical environments. My research explores combining VLA models and world models with whole-body robot control to build embodied systems that understand high-level semantic goals and execute low-level motion control.
Joined BXI Robotics as an Algorithm R&D Intern, working on VLA deployment, whole-body control, and robot data generation for the Elf3 humanoid robot.
Our UVA MARS team placed first and won the Off World Grand Prize in NASA's 2026 Lunabotics Challenge.
“Moving Out: Physically Grounded Human-AI Collaboration” was accepted to ICML 2026.
“Are LLMs The Way Forward? A Case Study on LLM-Guided Reinforcement Learning for Decentralized Autonomous Driving” was accepted to ICRA 2026.
My work spans robotics, vision-language-action models, human-AI collaboration, and reinforcement learning.
Working as an Algorithm R&D Intern at BXI Robotics, I train and deploy NVIDIA SONIC whole-body control and Mayi LingBot-VLA models on the Elf3 humanoid robot. I am also building a VLA + SONIC framework for robot manipulation and researching robot data generation with NVIDIA DreamGen.
Working in Professor Yen-Ling Kuo's lab, I contributed to a project developing embodied agents that adapt their actions to physical dynamics and human interactions.
In the Multi-Robot Navigation course, I investigated how reinforcement learning combined with locally deployable language models shapes decentralized autonomous-driving policies. This paper was accepted to ICRA 2026.
Our team placed first and won the Off World Grand Prize among more than 60 universities in 2026. I contributed to teleoperation between the Jetson and control station, autonomous excavation and dumping, and SLAM and path planning with NAV2 and ROS2 for travel autonomy on regolith.
Working in Professor Yen-Ling Kuo's lab, I implemented teleoperation of the Franka robot arm using a Meta Quest VR controller and SpaceMouse for diverse manipulation tasks in both physical and simulated environments through ROS2. This work supports multiple ongoing projects in the lab.
MenuMind is a personalized dining recommendation system that combines a local large language model with an online supervised learning model. It generates recommendations that adapt to a user's preferences over time, using UVA's Observatory Hill Dining Room as a real-world case study.
Working with Professor Daisy Dai and Professor Natasha Zhang Foutz, I processed and analyzed large-scale mobile location data and applied clustering algorithms, including Infostop and DBSCAN, to identify visibility patterns around EV charging stations.