I am now a control engineer at Airbus.

Tianyu Ren

Research Interests

Reinforcement learning; Robotics; Task and motion planning;

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Tianyu Ren is a postdoctoral researcher in the Intelligent Autonomous Systems group working on Robotics and Reinforcement Learning. Tianyu joined the lab in July 2019 after receiving his Ph.D. in Mechanical Engineering from Tsinghua University in July 2019.

During his Ph.D. research, Tianyu worked under the supervision of Prof. Ken Chen and Prof. Dan Wu focusing particularly on Reinforcement learning and Robot control. He developed a force-controlled industrial robot system from bottom up for a co-project between Tsinghua and Siemens.

Key references

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    Urain, J.; Tateo, D.; Ren, T.; Peters, J. (2020). Structured policy representation: Imposing stability in arbitrarily conditioned dynamic systems, NeurIPS 2020, 3rd Robot Learning Workshop, pp.7.
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    Ren, T.; Dong, Y.; Wu, D.; Chen, K. (2019). Design of Direct Teaching Behavior of Collaborative Robot Based on Force Interaction, Journal of Intelligent & Robotic Systems.
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    Ren, T.; Dong, Y.; Wu, D.; Chen, K. (2018). Impedance control of collaborative robots based on joint torque servo with active disturbance rejection, Industrial Robot.
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    Ren, T.; Dong, Y.; Wu, D.; Chen, K. (2018). Collision detection and identification for robot manipulators based on extended state observer, Control Engineering Practice, 79, pp.144-153.
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    Ren, T.; Dong, Y.; Wu, D.; Chen, K. (2018). Learning-based Variable Compliance Control for Robotic Assembly, Journal of Mechanisms and Robotics, 10, pp.06118.