Browse by Subject Grasping

Showing results 1 to 6 of 6

1
6D Object Pose Estimation Using a Particle Filter With Better Initialization

Lee, Gijae; Kim, Jun-Sik; Kim, Seungryong; Kim, Kanggeon, IEEE ACCESS, v.11, pp.11451 - 11462, 2023

2
Electroadhesion-Based High-Payload Soft Gripper With Mechanically Strengthened Structure

Hwang, Geonwoo; Park, Jihwan; Cortes, David Santiago Diaz; Hyeon, Kyujin; Kyung, Ki-Uk, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, v.69, no.1, pp.642 - 651, 2022-01

3
HybGrasp: A Hybrid Learning-to-Adapt Architecture for Efficient Robot Grasping

Mun, Jungwook; Giang, Khang Truong; Lee, Yunghee; Oh, Nayoung; Huh, Sejoon; Kim, Min; Jo, Sung-Ho, IEEE ROBOTICS AND AUTOMATION LETTERS, v.8, no.12, pp.8390 - 8397, 2023-12

4
Multiple Hand Posture Rehabilitation System Using Vision-Based Intention Detection and Soft-Robotic Glove

Rho, Eojin; Lee, Hochang; Lee, Yechan; Lee, Kun-Do; Mun, Jungwook; Kim, Min; Kim, Daekyum; et al, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, v.20, no.4, pp.6499 - 6509, 2024-04

5
Observing Actions through Immersive Virtual Reality Enhances Motor Imagery Training

Choi, Jin Woo; Kim, Byung Hyung; Huh, Sejoon; Jo, Sung-Ho, IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, v.28, no.7, pp.1614 - 1622, 2020-07

6
Study on interaction-induced symptoms with respect to virtual grasping and manipulation

Kim, Yongwan; Park, Jinah, INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, v.72, pp.141 - 153, 2014-02

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