# Irene Grace Karot Polson > Autonomy Engineer @ AeroVect | MSE Robotics @ UPenn | IIT Kanpur'22 Location: San Francisco Bay Area, United States Profile: https://flows.cv/irenegracekarotpolson I am an autonomy engineer at AeroVect at San Francisco. My interests lie at the intersection of safe autonomy, motion planning. Feel free to reach out to me at irenegracekp@gmail.com. Let's chat! ## Work Experience ### Autonomy Engineer @ AeroVect Jan 2024 – Present | San Francisco Bay Area ### Autonomy Engineering Intern @ AeroVect Jan 2023 – Jan 2023 | San Francisco Bay Area ### F1 Tenth Autonomous Racing @ University of Pennsylvania Jan 2023 – Jan 2023 | Philadelphia, Pennsylvania, United States · Designed and deployed a high-speed ROS2 autonomous driving stack on NVIDIA Jetson Xavier NX. · Our stack featured Automatic Emergency Breaking(AEB), a pure-pursuit controller and precision navigation with RRT and occupancy grid-based obstacle avoidance. ### Obstacle Avoidance Trajectory Planner And Controller for Quadrotor @ University of Pennsylvania Jan 2023 – Jan 2023 · Engineered the autonomy stack for the CrazyFlie quadrotor, seamlessly integrating a nonlinear geometric controller, a 3D trajectory and motion planner employing A*/Dijkstra algorithms for obstacle configuration space, and a minimum jerk polynomial trajectory generator optimized through quadratic programming. ### Pick and Place with Panda Arm Motion Planning @ University of Pennsylvania Jan 2022 – Jan 2022 | Pennsylvania, United States · Using inverse kinematics to determine joint angles needed for effective path planning. Both static and dynamic blocks were picked up and stacked. · ROS is used as framework and gazebo for simulation. ### Flight Operations Analysis Intern @ Airbus Jan 2021 – Jan 2021 • Worked on automatic Flight classification into Multiple groups for more efficient flight operations analysis. • The multiple classes considered were test, delivery, training, and normal flights. ### Derivative-free Adaptive Spacecraft Attitude Control @ Indian Institute of Technology, Kanpur Jan 2021 – Jan 2021 | Kanpur, Uttar Pradesh, India Advisor: Dr. Dipak Kumar Giri | Space Dynamics and Flight Control Laboratory · Developed a purely adaptive control system with derivative-free weight update laws on a spacecraft attitude system represented using MRPs. · Working on applications of machine learning and evolutionary optimization techniques on adaptive laws and its update rates as a part of my undergraduate research project. ### Autonomous Multi-Drone Path Planning for Large Structure Inspections @ Indian National Academy of Engineering (INAE) Jan 2021 – Jan 2021 | Bengaluru, Karnataka, India Advisor: Dr. Debasish Ghose, Guidance | Control and Decision Systems Laboratory, IISc Bangalore · One amongst 60 students selected from across India as a candidate for the Indian National Academy of Engineering Mentorship Program 2021-22. · Developed an in-house controller and a 3D coverage path planning algorithm using Lissajous curves without explicit geometry. It can easily be implemented at nominal computation costs. ### Control System Design using Bond Graph Representation @ Indian Institute of Space Science and Technology Jan 2021 – Jan 2021 | Thiruvananthapuram, Kerala, India Advisor: Dr. N. Selvaganesan | Indian Control Conference 2021 · Developed a power-based graphical representation of quadcopter system and its controller using bond graph approach. Reduced model is derived and is used to obtain feedback. · The entire closed-loop MIMO system is represented using 20-sim software and simulations were performed to meet satisfactory stable responses under tracking and disturbance conditions. ### Controls Development Engineer @ RangeAero Jan 2020 – Jan 2021 | Bangalore Urban, Karnataka, India • Automating the process of tuning PID controllers in a control system simultaneously. • Find the optimal gains using evolutionary optimization techniques such as the Genetic Algorithm. • Using PX4 simulator for the simulation environment with Quadcopter simulation using JMAVsim or connections to Pixhawk. • MAVLink connections through UDP ports were used in MATLAB for optimization and parameter setting. ### Deep Learning Internship @ Zeus Numerix Pvt. Ltd. Jan 2020 – Jan 2020 | Pune, Maharashtra, India • Classify satellite images into classes of military targets using PyTorch and Sci-Kit learn libraries. • Worked with a dataset of planes ( 25000+ images) to do binary classification and a dataset of different classes of ships ( 8000+) to do multiclass classification. • Implementation of Kalman Filter over Neural Networks to perform target tracking on passive Radar signal-bearing angles. Using the bearing angles and timestamps, we predict the target trajectory. • Made the Dataset for training and testing using Robotics System Toolkit, MATLAB. ## Education ### Master's degree in Robotics University of Pennsylvania ### Bachelor of Technology - BTech in Aerospace Engineering Indian Institute of Technology, Kanpur ### XII Graduate in Computer Science and Mathematics CBSE Maharishi Vidya Mandir Senior Secondary School ### X Graduate Chennai Public School - India ## Contact & Social - LinkedIn: https://linkedin.com/in/irene-grace-karot-polson --- Source: https://flows.cv/irenegracekarotpolson JSON Resume: https://flows.cv/irenegracekarotpolson/resume.json Last updated: 2026-04-05