Professor Li Gaofeng's research team at the College of Control Science and Engineering, Zhejiang University, deployed the CHINGMU optical motion capture system to precisely acquire 6 Degrees of Freedom (6DOF) motion data across all critical segments of the robotic arm. The system delivers comprehensive, high-fidelity data support for research directions including pose control and motion planning.

Building on the captured high-precision motion datasets, the team continuously refines its control algorithms — enabling the robotic arm to execute predefined task sequences with greater efficiency and fluidity. This work establishes a robust technical foundation for advancing the autonomous operational capabilities of intelligent robotic systems.