Jungjae Lee

Morphable Biorobotics Laboratory
Dept. of Mechanical Engineering
Boston University

We focuses on robotics, and how robotic technologies can impact society. We are particularly interested in how robotics can improve our lives and create new opportunities in fields like medicine, surgery, rehabilitation, and exploration.

In September 2022, I had the honor of receiving the Student Research Award (SRA) from Undergraduate Research Opportunity Program (UROP) for my work on the Laparoscopy project. This award is recognized for its competitiveness, having been conferred upon only 180 students at Boston University in Fall 2022.

Publications

A Soft Robotic, Modular Laparoscopic Grasper for Atraumatic Retraction of the Small Intestine (Journal)

L. Kinnicutt, L. T. Gaeta, J. Rogatinsky, J. Lee, A. Cameron, A. Naik, D. Hess, and T. Ranzani.

Device, Volume 2, Issue 10, October 2024, 100560, ISSN 2666-9986.

ScienceDirect ResearchGate
A Soft Laparoscopic Grasper for Retraction of the Small Intestine (Conference)

L. Kinnicutt, J. Lee, J. Oden, L. T. Gaeta, S. K. Carroll, A. Rathi, Z. H. Lim, M. Lee, C. Orakwue, K. J. McDonald, D. Hess, and T. Ranzani.

Hamlyn Symposium on Medical Robotics, London, UK, June 2023.

ResearchGate
Minimally Invasive Soft Robotic Prototypes Provide Variable Occlusion in a Simplified Aortic Flow Model (Conference)

L. Kinnicutt, A. Pathak, T. Bohac, A. Peng, C. Taglietti, C. Lee, R. Rauf, J. Lee, LZ. Heng, J. Rogatinsky, K. McDonald, J. Siracuse, and T. Ranzani.

American Heart Association Resuscitation Science Symposium, Chicago, US, November 2022.

Projects

Laparoscopy Project
Project Led by: Lorenzo Kinnicutt, M.S.
Time Commitment: Jan. 2022 - May. 2023
Skills: Prototyping, Python, MATLAB, CAD (Solidworks)
Photo of the Grasp Testing
Grasp Testing
  • Assisted in conducting strength testing, including blocked force and grip tests, to evaluate the reliability of actuators.
Photo of the MSLM
Miniaturized Scissor Lift Mechanism (MSLM)
  • Constructed a miniaturized scissor lift mechanism for the actuator using compact materials, enabling the grasper to grasp objects by adjusting the separation between the actuators.
Photo of the Soft Force Sensors
Soft Force Sensors
  • Created soft force sensors using a triple-axis magnetometer and a magnet to transduce a 3D magnetic field vector output.
Photo of the FRSA
Miniaturized Fiber-Reinforced Soft Actuator (FRSA)
  • Developed silicone pneumatic actuators to establish reliable grips on abdominal organs during surgical procedures.
Cardiovascular Project
Project Led by: Lorenzo Kinnicutt, M.S.
Time Commitment: May. 2022 - Aug. 2022
Skills: EDA (EagleCAD)
Photo of the In-vitro Setup
In-vitro Setup
  • Assisted in the assembly of an in-vitro setup for cardiovascular system, including securing components and establishing connections to ensure proper functionality.
Photo of the PCB
Control Board PCB
  • Designed PCB using EagleCAD to control valves and pumps in an in-vitro setup that mimics cardiovascular system, enabling team to conduct testing on endovascular device.
Heart Project
Project Led by: Jacob Rogatinsky, Ph.D.
Time Commitment: May. 2022 - Aug. 2022
Skills: Python, MATLAB
Photo of the Aurora Electromagnetic Position Tracking
Aurora Electromagnetic Position Tracking
  • Integrated a custom Python code with an open-source library to manage data acquisition from an electromagnetic position tracking system and visualize workspace of a surgical soft robotic end effector.
Softwearables Project
Project Led by: Leah T. Gaeta, Ph.D.
Time Commitment: Jan. 2022 - Mar. 2022
Skills: Prototyping
Photo of the Patrick Design
Patrick Design
  • Developed soft wearable device prototype with exoflex to test durability and performance of device.
  • Conducted tests to determine the most appropriate torsion calculations for the prototype and verified that the material interfaces meet the intended specifications.
Photo of the Optical Sensor
Optical Sensor
  • Developed a prototype of optical sensors for soft wearable devices to detect leg and arm movements and analyzed the data using a microcontroller and MATLAB.