Robotics & Intelligent Machines
Exploring autonomous systems, robot perception and learning.
Research Projects
Imitation Learning Pick-and-Place
Dynamic Movement Primitives framework built in PyBullet for robotic manipulation tasks. Designed to be hardware-agnostic and compatible with ROS.
ROS2 Integration for Spot Robot
Developed ROS2 interface for remote control including locomotion and arm manipulation capabilities.
Autonomous Robot Tracking
Sensor fusion system combining IMU, wheel odometry, and camera data using Gauss-Newton optimization and particle filtering.
GAN Data Augmentation
Generated synthetic underwater trash detection datasets using GANs to improve training data quality and model performance.
Robotics Stack
Learning Journey
Driven by curiosity about how machines perceive and interact with the world. My exploration spans autonomous systems, robot perception, and reinforcement learning. Each project represents a step toward understanding how we can build intelligent systems that operate effectively in complex, real-world environments.