Chetan Reddy N

Teaching Assistant for Decision Making under Uncertainty (CS238/AA228) by Prof. Mykel Kochenderfer Second most enrolled class at Stanford with 650+ students

Worked on extremely lightweight, geometry-aware ML architectures optimized for real-time inference in downstream robotic manipulation tasks.

Advised by Prof. Allison Okamura (Collaborative Haptic and Robotics in Medicine Lab) and Prof. Jeannette Bohg (Interactive Perception and Robot Learning Lab), Stanford University - Explored transformer-based imitation learning (ACT architecture) for the autonomous assistive control of the da Vinci surgical robot - Developed the teleoperation framework to control the arm using a Phantom Omni device - Engineered the data collection and model rollout pipeline for training and evaluation

Advised by Prof. Monroe Kennedy at ARMLab (Assistive Robotics and Manipulation Lab) - Improved the spatial awareness of an Intelligent Prosthetic Arm by processing vision data from multiple cameras - Developed a ROS package to perform camera calibration and registration and track an object of interest in 3D in Rviz as it moves across the different frames of view

Developed a framework to formulate Safe Reinforcement Learning problems with Human Guidance to enable safety during both training (exploration) and deployment

We developed a novel causal inference algorithm designed to cluster users in a market based on the underlying causal structure. We successfully filed a patent at the US Patent and Trademark Office (USPTO), receiving $7,200

Developed control strategies to achieve obstacle avoidance with provable safety guarantees in an unknown and stochastic environment by using control barrier functions (CBFs)

CS237A/B - Principles of Robot Autonomy I and II CS238 - Decision Making under Uncertainty EE263 - Introduction to Linear Dynamical Systems EE364A - Convex Optimisation AA203 - Optimal and Learning Based Control CS231n - Deep Learning for Computer Vision CME295 - Transformers and Large Language Models EE227 - Robot Perception ME310 - Global Engineering Design Thinking, Innovation, and Entrepreneurship ENGR245 - The Lean Launchpad: Getting your Lean Startup Off the Ground ME210 - Introduction to Mechatronics

CS6700 - Reinforcement Learning EE5178 - Modern Computer Vision CS5691 - Pattern Recognition and Machine Learning EE5708 - Data Analytics Lab ME6230 - Mechanics of Human Movement ME6154 - Design and Optimisation of Energy Systems ME7225 - Signal Processing ME3302 - Automation in Manufacturing NPTEL - Design and Analysis of Algorithms NPTEL - Linear Algebra CH5019 - Mathematical Foundations of Data Science MA2040 - Probability and Statistics

DD2415 - Safe Robot Planning and Control DD2410 - Introduction to Robotics DD2412 - Advanced Deep Learning