Recently, my research interest has focused on developing robotic systems capable of interacting with unstructured environments during grasping or manipulation.
Specifically, I am exploring "physically intelligent gripper designs" and developing "learning-friendly grippers" that facilitate policy learning in imitation and reinforcement learning frameworks.
PALM-Gripper: T.B.D Seunghwan Um,
Yeong Gwang Son,
Juyong Hong,
Chun Soo Kim,
Issac Rhee,
Heeyeon Jeong,
Hyouk Ryeol Choi*
2nd Revision on IEEE Transactions on Mechatronics (T-mech), 3 out of 4 reviewers expressed acceptance
Paper
"Parallelly adaptable palm mechanism" for complementing the suction gripper's compliance
Plug-and-Play Shape Matching Module for Zero-Shot Mesh-Free Grasp Refinement on Unknown Objects
Juyong Hong,
Yeong Gwang Son,
Seunghwan Um,
Hyouk Ryeol Choi*
IEEE Robotics and Automation Letters (RA-L), Will be presented in ICRA 2026 Paper
Training-free, plug-and-play module that enhances existing grasp planners for unknown objects.
It reorganizes the grasp candidates based on an object's centroid from a single RGB-D image.
A robotic bin-picking system evaluated in the 9th Robotic Grasping and Manipulation Competition
(RGMC) at ICRA 2024.
Development of Adaptive Gripper Enhancing Power Grasp Range and
Linearity
Issac Rhee,
Chun Soo Kim,
Heeyeon Jeong,
Seung Jae Moon,
Seunghwan Um,
Yeong Gwang Son,
Yong Bum Kim,
Ho Sang Jung,
Hyouk Ryeol Choi*
IEEE Access, 2024
Paper
Gripper design that applies a Grasshopper mechanism to improve fingertip movement. It also allows
the fingertips to move towards the palm of the gripper after grasping an object, thereby expanding
the range of object sizes that can be adaptively grasped.
ReC-Gripper: A Reconfigurable Combined Suction and Fingered Gripper for
Various Logistics Picking and Stowing Tasks Seunghwan Um,
Heeyeon Jeong,
Chun Soo Kim,
Issac Rhee,
Hyouk Ryeol Choi*
IEEE Robotics and Automation Letters (RA-L), Presented in ICRA 2024 Paper
Reconfigurable gripper to handle the objects in the bin and shelf environment simultaneously.
I validated the gripper's performance in experiment at shelf, and competition like bin environment.
🥈 2nd Placein the Competition
Yeong Gwang Son,
Seunghwan Um,
Juyong Hong,
Chun Soo Kim,
Hyouk Ryeol Choi*
9th Robotic Grasping and Manipulation Competition (RGMC) at ICRA, 2024
News
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Competition page
We participated 9th Robotic Grasping and Manipulation Competition (RGMC) at ICRA 2024
with ReC-Gripper and Extended CoAS-Net.
🏆 Best Prizein the Contest 3D Design for the Future, Ministry of Trade, Industry and Energy (MOTIE), 2023
🥉 Bronze PrizeBronze Prize in the Competition The Korean Society of Mechanical Engineers (KSME), 2021
🏵️ Encouragement Prizein the Contest Creative and Intelligent Robot Contest (CIRO), 2021
[1st Team],
Seunghwan Um,
Hyungjin Park,
Jaehyeon Nam,
Boseok Kim,
Yohan Ahn,
Minsu Kong,
Changho Lee,
hyunju Kwak,
Joonmyung Choi*
[2nd Team]
Boseok Hong,
Youngsu Jeong,
Euichan Kim
Team leader of Wall Climbing Car (WCC) [Undergraduate Project]