I am deeply interested in research topics related to intelligence. My current research focuses on the application of AI in robotics, specifically the integration of high-level reasoning ability of Large Language Models with low-level control learning ability of Reinforcement Learning methods. I am also collaborating on a Neuroscience project.
My current and past research projects include the following:
AI-based Robotic Odor Source Localization
2023 - Current, Research Assistant Advisor: Dr. Lingxiao Wang, Louisiana Tech University (LaTech)
This project leverages various AI techniques to design a navigation model to guide a robot in finding a hidden odor source location with onboard vision and olfaction sensors.
Psychedelic Gene Expression Changes on rats Prefrontal Cortex
2024 - Current, Research Collaborator LSU Collaborator: Dr. Deepak Kumbhare, Louisiana State University (LSU)
Analyzing changes in gene expression, measured using next-generation sequencing (NGS), in the prefrontal cortex of rats following the application of lysergic acid diethylamide (LSD).
A toy project to train teams of mobile robots to play Soccer. The training will be conducted first in a simulated environment, and then in real mobile robots.
Proposed a LLM-based mobile robot navigation algorithm for robotic odor source localization (OSL) task. It includes a High-level Reasoning Module, which combines data from the robot's vision and olfactory sensors to create a multi-modal prompt. This prompt is used to query a multi-modal LLM to select navigation behaviors. A Low-level Action Module then converts this behavior into executable control commands for the robot.
Proposed a Hierachical Control framework to control a robot finding the odor source by coordinating obstacle avoidance, vision-based navigation, and olfaction-based navigation behaviors.
Presented a new vision-based wildfire smoke detection from drone's imageries, which involves image segmentationa and object detection to reduce the false alarm rate.
