Ziqi Gao

My research sits at the crossroads of robotics, learning, and control, with the goal of endowing robots with adaptability, agility, generalizability, and safety. I leverage both learning-based and model-based approaches to enhance a robot’s perception and physical interaction capabilities. I am particularly passionate about multi-modal perception, dexterous manipulation, dual-arm manipulation and dynamic task learning in hand–arm configurations. Looking ahead, I aim to explore loco-manipulation on integrated platforms—such as hand–arm–dog systems, hand–arm–mobile platforms, and humanoid robots—to further advance versatile, real-world robotic applications. Please reach out to collaborate.