I am a Robotics and Autonomous Systems (RAS) Engineering Master's student at Arizona State University. I am pursuing control systems, physics-based simulation tools, and robotic deployment.
- Designed to Streamline Concept-to-Simulation
- Applications for:
- Reinforcement Learning
- Digital Twins
- High-Paced Classroom Environments
- Unifying Template Framework API
- Controls Multiple Robotic Arms from Different OEM's
- Applications for Multi-Robotic Control
Pronounced "Cursive"
- Development of a
Github Templateto:- Streamline Control System Flow
- State Machine Development (Core, Subsystems, Entire System Management)
- Path Planning, Localization, Sensor Fusion
- Provide better debugging tools
- Partial & Full System Tests to Shakedown Robotic Systems
- Targets FIRST Tech Challenge Robotics Teams in High School
- Reduce the skill floor for new coders and provide a professional example for proper standards:
- One-Way Flow (Interfaces, Inheritance, Abstraction Templates)
- Singleton
- and Many More...
- Custom Python Object Oriented Programming (OOP) Architecture to utilize the FIRST FTC API
- Custom Least Square Error (LSE) Implementation of Community Metric, Offensive Power Ranking (OPR)
- Slash Command Integration into Social Chat Platform,
Discord
- Completed as Part of ASU's Foldable Robotics Final Project
- Experimental Approach to Solve for Material and Motor Characteristics (ie. Stiffness, Damping, Torque, Rotational Velocity)
- Rapid and Cost Effective Manufacturing Methods to Develop Final Product
- Non-Linear Optimization through MuJuCo Simulation tools and Python Libraries
- Utilized Standardized Fucial, ArUco, Tag Markers to determine the x, y, z, roll, pitch and, yaw of introduced objects
- Per-ID Dynamic Mesh Generation used for AR environment reproduction
- Trained a Custom CNN Neural Network, AlexNet, with over 60k Images
- Evaluated Canny, Sobel, and Roberts Cross Matrix Filters in their Object Detection Confidence of Standard Road Objects: Truck, Car, Bicyclist, Pedestrian, and Road Signs
