Our lab investigates advanced control architectures for multi-degree-of-freedom robotic manipulators, focusing on Dual-Arm Cooperative Systems. We particularly specialize in low-level control algorithms, dealing directly with the complex joint dynamics, precise torque regulation, and high-frequency real-time execution of the robotic systems.
By integrating our core adaptive and AI-based control techniques at the lowest level of the hardware, we tackle real-world physical challenges such as robust impedance/admittance control for safe human-robot interaction, payload handling, and highly responsive collision avoidance.
Advanced Braking System Control (ABS) & HILS
We develop robust control algorithms for automotive hydraulic brake systems, including Anti-lock Braking Systems (ABS). Utilizing advanced Hardware-in-the-Loop Simulation (HILS) frameworks with real-time target machines (e.g., SCALEXIO) and MATLAB/Simulink, we validate our controllers using actual brake hardware to ensure optimal braking performance, wheel slip regulation, and vehicle stability under various road friction conditions.
Electric Power Steering (EPS) & Vehicle Dynamics
Our research extends to vehicle lateral dynamics, focusing on Electric Power Steering (EPS) and active steering systems. Through our dedicated steering simulator integrated with rapid control prototyping tools (e.g., Micro-AutoBox and CarSim), we design intelligent steering assist algorithms. These advanced controllers are tailored to improve driver steering feel, handling precision, and overall lateral safety for autonomous driving applications.