Autonomous Mobile Robot for Warehouse Logistics

Design and build an autonomous mobile robot capable of navigating a simulated warehouse environment, detecting objects, and optimizing material transport routes. Implement SLAM-based mapping, A* and RRT path planning, and sensor fusion using LiDAR and IMU data within a ROS 2 framework. Test the system end-to-end in Gazebo simulation and deploy on a physical platform with a Raspberry Pi or Jetson Nano.

AI-Powered Vision-Guided Robotic Arm

Develop a robotic manipulator system that uses computer vision to identify, localize, and grasp objects on a workspace. Integrate an OpenCV and TensorFlow-based perception pipeline with inverse kinematics-based motion planning and PID control for precise pick-and-place operations. Validate the system in Gazebo and on physical hardware using servo motors and an Arduino or STM32 controller.

Autonomous Drone for Precision Agriculture Monitoring

Create an autonomous aerial drone system that plans survey missions, navigates GPS waypoints, and captures imagery to assess crop health using machine learning classifiers. Leverage PX4 Autopilot for flight control, ROS 2 for mission planning, and a trained deep learning model for pest and disease detection from aerial images. Simulate the full mission pipeline in Gazebo before field deployment.