# Aaron Arul M. > Robotics | ROS | Motion Planning | Navigation | Computer Vision | Design | Location: Greater Boston, United States Profile: https://flows.cv/aaronarulm Robotics and Autonomous Systems recent graduate from Arizona State University. Looking for full time or internship opportunity starting February 2021. I have experience working with Lidar, Gazebo, ROS, Simulink and Robotic arm. Here is a brief summary of my skills and interests: Area of Interest: Computer vision, ROS, Perception, Controls, Motion planning and Design. Programming: Python, C++, MATLAB, Linux, Xml, ROS Tools/libraries: CarSim, Gazebo, Simulink, URDF, Git, PyQt, OpenCV, ROS, URDF, GAZEBO, Webots, Simulink, Arduino, CarSim. Design Tools: Solidworks, CATIA V6(Certified), Autodesk Inventor, Blender. Skills: Dynamics and controls, Computer vision, Optimal control, Multi-robot control, ROS, Motion planning, Navigation. Courses taken: Advanced System Modeling, Dynamics and Control, Artificial Intelligence, Autonomous Exploration System, Catia V6, Computational Image Understanding and Pattern Analysis, Linear Algebra, Modeling and Control of Robots, Multi-Robot Systems, Optimal Control, Vehicle Dynamics and Control, Introduction to Self Driving Car, Introduction to ROS, URDF, GAZEBO. Portfolio: https://asu.digication.com/aaron-arul-maria-john ## Work Experience ### TechOps Senior Software Engineering @ Berkshire Grey Jan 2024 – Present ### TechOps Software Engineer @ Berkshire Grey Jan 2021 – Present Designed and developed a program for planning and creating trajectories for 6-DOF and 7-DOF robots utilizing Task Space Regions (TSR) endpoints. Developed a computer vision-based tool mapping using an RGBD camera and fiducial markers, effectively localizing real-world environments to software environments, reducing time and potential mismatches between the real world and software collision body, and integrating it with a GUI. Developed a self-calibration method to calibrate the camera extrinsic to account for mechanical tolerances to accommodate plug-and-play features. This tool helps reduce the time by 3200% and increases repeatability and precision. Created Python drivers based on CIP and Modbus TCP protocol to integrate hardware devices into robotic assembly. Developed GUI tools using PyQt5 for commissioning and testing assemblies, improving the manufacturing process and skill requirements. Mentored contractors on commissioning procedures and provided support in troubleshooting software issues that arose during the process. Organized sprint meetings and managed the Git Pull Request (PR) review process for the software development team, ensuring code quality, consistency, and timely merging. ### Field Application Engineer @ Berkshire Grey Jan 2021 – Jan 2021 Led the Robotic Pick Cell commissioning team, streamlining and automating major tasks, resulting in a 40% reduction in commissioning time. Completed system commissioning ahead of the target date through efficient teamwork, demonstrating the ability to deliver tangible results. ### ROS Software Engineer Intern @ Sensagrate Jan 2021 – Jan 2021 | Scottsdale, Arizona, United States Created an mutli-threaded algorithm in Python and C++ to visualize LiDAR data directly from LiDAR. Created a GUI using PyQT5 where the user can create zones and polylines for a back-end deep learning process. Designed a project workflow for the application using Confluence, Jira and Git. ### Graduate Student Researcher @ Birth Lab, ASU Jan 2019 – Jan 2020 | Tempe, Arizona Designed and fabricated an Amphibious Pipe Inspection rover for the Salt River Project(SRP) for inspection of pipe blockages and wall damages inside pipelines not accessible by inspectors. Led the Amphibious Pipe Inspection Rover team consisting of 3 members during the integration of the motor driver, thruster, sonar, and infrared camera phase and resulted in the completion of Phase 1. Guided and assisted the team with IMU integration with the rover. As a member of the team, I assisted in the design and 3D printing of a modular neutrally buoyant rover chassis using Autodesk Inventor. A 5 DOF robotic arm also designed to accommodate a camera and sonar sensor. Created an inverse kinematics algorithm in MATLAB to map trajectories and test the robotic arm utilization workspace for maximum reachability. The final prototype was assembled and tested in front of the clients, showcasing the rover movement inside and above water. ### Internship Trainee @ KIOCL Limited Jan 2018 – Jan 2018 | Mangalore Area, India Oversaw Automation process involved from raw material arrival to shipping after Pelletization. Studied different processes involved with the Pelletization of iron ore. Analyzed different sensors, actuators and PLC involved in the plant and its operations. ### Reverse Engineering Intern @ Global Automotive Research Center Jan 2016 – Jan 2016 | Chennai , India Disassembled vehicle’s made by BMW, Hyundai, and Renault, to understand and analyze each part. Familiarized with vehicle testing process. Assisted Senior Engineer with analysis and testing of parts. Assisted Senior Engineer in diagnostic of vehicle. ## Education ### Master's degree in Mechatronics, Robotics, and Automation Engineering Ira A. Fulton Schools of Engineering at Arizona State University ### Bachelor of Technology (B.Tech.) in Mechanical Engineering Vel Tech Technical University ## Contact & Social - LinkedIn: https://linkedin.com/in/aaronarul-mj --- Source: https://flows.cv/aaronarulm JSON Resume: https://flows.cv/aaronarulm/resume.json Last updated: 2026-03-31