This was my B.Tech project which culminated into a Journal paper, published in IEEE Sensor Letters. It presents a novel human tracking and position estimation approach for mobile robot navigation that integrates a 2D LiDAR and monocular camera.
This was my first robotics competition during which we designed and built an omniwheel robot equipped with an overhead camera-based localization system. We achieved precise control that allows the robot to draw complex shapes and figures autonomously, completing intricate patterns based on waypoint sequences.
In my second robotics competition, we were tasked with building a self-balancing bike robot. The unique configuration of the system made it both intriguing and challenging. We tackled this challenge by implementing an LQR controller, leveraging data from the IMU and encoders.
This project was completed as part of the Motion Planning course. We explored various path planning algorithms for multi-agent systems and studied their effectiveness by simulating them in CoppeliaSim. The main goal of the project was to solve warehouse logistics challenges using multiple robots working collaboratively.