ProposedThis Lab offers a wide range of hands-on projects for students in the fields of Electrical Engineering and Computer Science. Designed to bridge theory and practice, the projects challenge students to apply their academic knowledge to real-world engineering problems, encouraging innovation, teamwork, and independent thinking:
This project focuses on the development and implementation of intelligent autonomous robotic systems, combining key principles from mechanical design, control theory, sensor integration, and artificial intelligence. Robotics is a rapidly evolving field with applications ranging from industrial automation and healthcare to agriculture, space exploration, and service robotics.
The project explores the design of mobile robots with an emphasis on autonomy, environmental perception, and decision-making. Core components include motion planning, real-time obstacle avoidance, sensor fusion (e.g., LiDAR, cameras, IMUs), and feedback control algorithms. In addition, we integrate machine learning techniques to enhance adaptability and task efficiency in dynamic environments.
Throughout the project, simulations are conducted using environments such as ROS (Robot Operating System) and Gazebo, followed by deployment on physical prototypes for validation. Specific use cases include autonomous navigation, object tracking, and robotic manipulation.
The aim is to develop a functional, intelligent robotic platform capable of operating in unstructured environments, demonstrating the integration of theory, software, and hardware into a cohesive, real-world system. This work contributes to ongoing efforts in robotics research and offers practical insights into the challenges of autonomy, perception, and human-robot interaction.
