Milad Azizkhani

PhD Student in Robotics @ Georiga Tech, Roboticisit, Control Theorist

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I am a Ph.D. student in the Robotics program at Georgia Institute of Technology, working with Dr. Yue Chen in the BM2 Lab. Before joining GT, I received my M.Sc. degree in Mechatronics Engineering from Amirkabir University of Technology, and my B.Sc. degree in Mechanical Engineering from Bu Ali Sina University.

I design, build, model, control, and integrate robotic systems for various applications. My primary objective is to develop innovative control methods that synergize model-based and learning approaches. My research interests include Adaptive Control, Control Theory, Learning-Based Control, Optimal Control, Trajectory Optimization, Robot Learning, Imitation Learning, Reinforcement Learning, Deep Learning, and Optimization, with a current focus on applications in Soft Robotics.

News

Mar 31, 2025 Honored to receive the Ph.D. Research Excellence Award from Georgia Tech’s Mechanical Engineering Department for outstanding doctoral research.
Feb 28, 2025 Our paper titled Soft Robot Kinematic Control via Manipulability-Aware Redundancy Resolution has been accepted to the ASME Journal of Mechanisms and Robotics (JMR)!
Read the paper here
Nov 19, 2024 I am honored to have received the Topping Fellowship in Fall 2024 from the Mechanical Engineering Department in the category of “First Author Most Citations.”
Apr 04, 2024 I successfuly passed my PhD Qualifying Exam.

Selected Publications

  1. JMR2025
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    Soft Robot Kinematic Control Via Manipulability-Aware Redundancy Resolution
    Milad Azizkhani, Junhyoung Ha, Anthony L Gunderman, and Yue Chen
    Journal of Mechanisms and Robotics, 2025
  2. RAL2023
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    Dynamic control of soft robotic arm: An experimental study
    Milad Azizkhani, Anthony L Gunderman, Isuru S Godage, and Yue Chen
    IEEE Robotics and Automation Letters, 2023
  3. RAL2022
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    Dynamic control of soft robotic arm: A simulation study
    Milad Azizkhani, Isuru S Godage, and Yue Chen
    IEEE Robotics and Automation Letters, 2022
  4. Mechatronics2022
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    Model reference adaptive control of a soft bending actuator with input constraints and parametric uncertainties
    Milad Azizkhani, Mohammad Zareinejad, and Mohammad A Khosravi
    Mechatronics, 2022