Yang Liu

I am a Robotics Ph.D. student at Texas Robotics at The University of Texas at Austin. My research centers around Robotics, Mathematical Modeling, Data-Driven Control, Machine Learning and Computer Vision/Perception, with a specific focus on Medical/Surgical Robots and Continuum robots. My research outcome has been five top-tier first-author robotics journal/conference papers (two TMECHs, two RALs & ICRAs and one IROS) so far. Currently, I am exploring Koopman-based data-driven learning and control approaches to address both theoretical and practical problems in deformable object manipulation.

Before joining UT-Austin, I worked as a master student at State Key Laboratory of Robotics and System at Harbin Institute of Technology, where I developped an underactuated principle-based lower-limb exoskeleton robtoics system and control algorithm.

To learn more about my research projects click projects & portfolio

Left: Autonomous manipulation of deformable objects using da Vinci Research Kit (dVRK). Right: Matlab package for continuum robotics modeling and simulation.

News

07/2022	I got the Warren A. and Alice L. Meyer Endowed Scholarship in Engineering
05/2022	I presented our paper at ICRA 2022 in Philadelphia, PA.
05/2022	I got the Graduate Student Professional Development Award.
05/2022	Our paper entitled ‘Multiphysical Analytical Modeling and Design of A Magnetically Steerable Robotic Catheter for Treatment of Peripheral Artery Disease’ got accepted to IEEE/ASME Transactions on Mechatronics (TMECH).
02/2022	I got The Harry Philip Whitworth Endowed Graduate Fellowship Fund.
01/2022	Our paper entitled ‘Impact of Generic Tendon Routing on Tension Loss of Tendon-Driven Continuum Manipulators’ got accepted to IEEE Robotics and Automation Letters (RAL & ICRA).
11/2021	I got the NSF-2021 International Symposium on Medical Robotics (ISMR) Travel Awards.
09/2021	Our paper entitled ‘Influence of Antagonistic Tensions on Distributed Friction Forces of Multi-Segment Tendon-Driven Continuum Manipulators with Irregular Geometry’ got accepted to IEEE/ASME Transactions on Mechatronics (TMECH).