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Office Location: AHG 2.320

Farshid Alambeigi

Assistant Professor

Department Research Areas:
Advanced Design and Manufacturing
Biomechanical and Biomedicine Engineering
Robotics and Intelligent Mechanical Systems

Director of ARTS Lab

Dr. Farshid Alambeigi joined the Walker Department of Mechanical Engineering at the University of Texas at Austin in August 2019. He is also one of the core faculties of the UT Austin Robotics Program. Dr. Alambeigi received his Ph.D. in Mechanical Engineering from the Johns Hopkins University, in 2019. He also holds an M.Sc. degree (2017) in Robotics from the Johns Hopkins University. In summer of 2018, Dr. Alambeigi received the 2019 SIEBEL Scholarship because of the academic excellence and demonstrated leadership.

At The University of Texas at Austin, Dr. Alambeigi directs the Advanced Robotic Technologies for Surgery (ARTS) Lab. Dr. Alambeigi’s research focuses on developing high dexterity and situationally aware continuum manipulators, soft robots, and appropriate instruments especially designed for less/minimally invasive treatment of various medical applications. Utilizing these novel surgical instruments together with intelligent control algorithms, the ARTS Lab in collaboration with the UT Dell Medical School will work toward digital surgery and partnering dexterous intelligent robots with surgeons. Ultimately, our goal is to elevate the clinicians’ skills and quality of the surgery to further improve patient safety.

Recent Publications

  1. F. Alambeigi, S. Aghajani Pedram, J. Speyer, I. Iordachita, R. H. Taylor, and M. Armand, “SCADE: Simultaneous Sensor Calibration and Deformation Estimation of FBG-Equipped Unmodeled Continuum Manipulators“, IEEE Transaction on Robotics (TRO), October 2019.
  2. F. Alambeigi, M. Bakhtiarinejad, S. Sefaty, R. Hegeman, I. Iordachita, H. Khanuja, and M. Armand, "On the Use of a Continuum Manipulator and a Bendable Medical Screw for Minimally-Invasive Interventions in Orthopedic Surgery", IEEE Transaction on Medical Robotics and Bionics (TMRB), January 2019.
  3. F. Alambeigi, Z. Wang, Y. H. Liu, R. H. Taylor, and M. Armand, "Toward Autonomous Needle Insertion Using Collaborative Manipulation of Unmodeled Deformable Tissues," Annals of Biomedical Engineering, March 2018.
  4. F. Alambeigi, Wang Y, Sefati S, Gao C, Murphy RJ, Iordachita I, Taylor RH, Khanuja H, Armand M. “A Curved-Drilling Approach in Core Decompression of the Femoral Head Osteonecrosis using a Continuum Manipulator,” IEEE Robotics and Automation Letters, 2017.
  5. F. Alambeigi, Z. Wang, R. Hegeman, Y. H. Liu, R. H. Taylor, and M. Armand, ”A Robust Data-Driven Approach for Online Learning and Manipulation of Unmodeled 3-D Heterogeneous Compliant Objects,” IEEE Robotics and Automation Letters and IROS 2018 conference, June 2018.
  6. F. Alambeigi, Z. Wang, R. Hegeman, Y. H. Liu, R. H. Taylor, and M. Armand, ”Autonomous Data-Driven Manipulation of Unknown Anisotropic Deformable Tissues Using Unmodelled Continuum Manipulators,” IEEE Robotics and Automation Letters, December 2018.
  7. F. Alambeigi , Seifabadi R, Armand M. “A continuum manipulator with phase changing alloy” in Proceedings of 2016 IEEE International Conference on Robotics and Automation (ICRA 2016), pp. 5664-5669.
  8. F. Alambeigi, Sefati S, Murphy RJ, Iordachita I, Armand M. “Design and Characterization of a Debriding Tool in Robot-Assisted Treatment of Osteolysis“, in Proceedings of 2016 IEEE International Conference on Robotics and Automation (ICRA 2016), pp. 5664-5669.
  9. Sefati S, Hegeman H, F. Alambeigi, Iordachita I, Taylor R, Armand M.  "FBG-Based Position Estimation of Highly Deformable Continuum Manipulators: Model-Dependent vs. Data-Driven Approaches", ISMR 2019. Best Student Paper Award
  10. S. Sefaty, M. Pozin, F. Alambeigi, I. Iordachita, R. H. Taylor and M. Armand, "A Highly Sensitive Fiber Bragg Grating Shape Sensorfor Continuum Manipulators with Large Deflections," in Proc. International Conference of the IEEE SENSORS (SENSORS’17), 2017. Finalist of the Best Student Paper Award