Projects
Robocon 2024
For a national-level robotics competition, we developed an autonomous robot system that incorporated color-based object detection and manipulation.
Our project involved two robot platforms:
R1, a semi-autonomous system optimized for human-robot interaction with manual control integration.
R2, a fully autonomous robot with foundational control architecture and vision-based decision-making.
We engineered precision grasping mechanisms, optimal chassis designs, and custom electronic control systems, integrating motor drivers, sensors, and microcontrollers for precise motion control.
Additionally, we designed robust vision processing algorithms for real-time color detection and object tracking under varying lighting conditions.
During the initial phase, we focused on R1, a semi-autonomous system that combined manual control with automated processes to optimize human-robot collaboration. In parallel, we developed R2, a fully autonomous platform featuring vision-based decision-making protocols and a robust control architecture.
Both platforms were equipped with precision grasping mechanisms and optimized chassis configurations to enhance mobility and stability.
As the project progressed, we implemented real-time vision processing algorithms for color detection and object tracking.
Furthermore, we developed custom electronic control systems, integrating motor drivers, sensors, and microcontrollers to achieve precise motion and object manipulation.
Additionally, we incorporated a pneumatic mechanism to enhance the efficiency and reliability of grasping and releasing objects, ensuring smooth operation and adaptability across varying task requirements.