This project focuses on advancing the modeling, manipulation planning, and control of dual-arm robotic systems. Participants will investigate kinematic and dynamic modeling of coordinated arms, design bimanual manipulation tasks such as object handovers or collaborative assembly, and implement robust control algorithms for synchronized motion. The work will leverage simulation tools and will extend to physical validation using lab hardware. Key challenges include redundancy resolution, collision avoidance, force coordination, and real-time task execution. Outcomes will contribute to applications in flexible manufacturing, logistics, and human-robot collaboration, providing a foundation for scalable multi-arm automation.