Research

Surgical Robotics at The ARTS Lab

Surgical Robotics Researcher · The Advanced Robotic Technologies for Surgery (ARTS) Lab · Texas Robotics

Conducting research on robotic surgical systems with integration through ROS2 and Gazebo. My focus is on enhancing robotic motion planning, simulation, and control strategies for advancing surgical robotics capabilities.

Autonomous Vehicle Systems at NOVA

AV Perception and Planning Researcher · NOVA: Self-Driving Research Lab · UT Dallas

I am an active member of the NOVA research group, which focuses on advancing autonomous driving technologies. As part of this program, we have developed a fully functional vehicle prototype, equipped with cutting-edge sensors, AI-driven systems, and advanced algorithms for real-world autonomous navigation.

Our work aims to push the boundaries of autonomous vehicle research, leveraging deep learning, robotics, and state-of-the-art machine learning techniques to solve complex problems in the field.

GitHub: https://github.com/Nova-UTD/navigator.git

Brake Light Detection

One of my key contributions to the NOVA program is the development of a brake light detection system. This system utilizes YOLOv8, a state-of-the-art object detection model, to identify and classify braking behaviors of vehicles in real-time. By integrating this with ROS2, we aim to enhance the decision-making capabilities of our autonomous vehicle prototype.

Annotated Brake Light Detection - Example 1 Annotated Brake Light Detection - Example 2

Base images and dataset courtesy of IM Lab, Kookmin University via Roboflow Universe, licensed under CC BY 4.0. Annotations created using YOLOv8 by Sai Peram.
Dataset link: Brake-Light-Detection Dataset