• Developed and demonstrated real-world results of a machine learning model that allowed a 6-DoF manipulator to autonomously maneuver to specific poses based on flower orientation for pollination• Utilized imitation learning to train end-to-end deep learning models that map flower images and environmental features to manipulator actions• Designed data collection autonomy structure for flower perception and model training utilizing ROS, MoveIt2, and Gazebo simulations• Developed computing stack for robotic pollination utilizing Linux, Docker, and GPU integration• Engineered and debugged electronic systems and PCBs for various robots used in the lab• Completed a project utilizing imitation learning and deep learning to enable robots to autonomously manipulate objects on an air hockey table• Formulated experimental design, interfacing, and control code inspired by biological morphogenesis for the robot named Loopy• Implemented various reinforcement learning algorithms such as Monte-Carlo Tree Search and Proximal Policy Optimization

• Designed PCBs, electronic schematics, and electronic boxes using KiCAD and SolidWorks• Developed software protocols to interface hardware with ROS

• Researched and developed control schemes to enable obstacle avoidance in robotic swarms• Developed a robot swarm simulator within MATLAB and ROS and presented results at WVU’s Summer Undergraduate Research Symposium

• Rehired as a college intern in the Integration and Test (I&T) Department• Helped program simulation-based satellite testing software using LabVIEW and STOL• Helped debug, design, and analyze satellite testing equipment using LabVIEW, STOL, and various types of hardware

• Hired as a college intern to work for the I&T Department• Worked mainly on developing excel macros and producing documentation for customers• Helped to revive and reboot the Operations Error Review Board to reduce error during satellite implementation and testing

• Received a fellowship from the West Virginia Space Grant Consortium to conduct research upon a STEM-related project• Created an autonomous ground vehicle that performs obstacle avoidance using LIDAR technology• Used LabVIEW in conjunction with National Instruments hardware to retrieve data acquisition from a LIDAR sensor