Jae-Kyung Min — accepted AI-conference papers

2022

A Proprioceptive Haptic Device Design for Teaching Bimanual Manipulation

Choongin Lee, Taeyoon Lee, Jae-Kyung Min, Albert Wang, SungPyo Lee, Jaesung Oh +2

ICRA 2022poster

Manipulation involves a broad spectrum of skills, e.g., polishing, peeling, flipping, screwing, etc., requiring complex and delicate control over both force and position. This paper aims at designing an optimal haptic interface for providing a robot with direct demonstrations of human's innate intel…

Cited by 3 Source ↗Scholar ↗

2020

A Wall-Mounted Robot Arm Equipped With a 4-DOF Yaw-Pitch-Yaw-Pitch Counterbalance Mechanism

Jae-Kyung Min, Do-Won Kim, Jae-Bok Song

RA-L 2020

Because industrial robots are relatively heavy, most of motor torque are used to support the weight of a robot. Consequently, high-capacity motors and speed reducers are needed, resulting in a low energy efficiency and an increase in the manufacturing cost. To deal with this problem, a variety of sp

Cited by 14 Source ↗Scholar ↗