Baeksuk Chu
Kumoh National Institute of Technology
42 Papers
187 Citations
Baeksuk Chu is an academic researcher from Kumoh National Institute of Technology. The author has contributed to research in topics: Robot & Mecanum wheel. The author has an hindex of 12, co-authored 42 publications. Previous affiliations of Baeksuk Chu include Korea University & University of California, Davis.
Chat about Author
Papers
Kinematics and Efficiency Analysis of the Planetary Roller Screw Mechanism
TL;DR: In this paper, the authors analyzed the kinematics and the efficiency of the planetary roller screw mechanism (RSM) to provide a fundamental basis to support its various applications and compared it with the conventional ball screw mechanism.
131
Robot-based construction automation: An application to steel beam assembly (Part I)
TL;DR: In this article, a robotic beam assembly system consisting of a robotic bolting device that performs the main function for the beam assembly work and a robotic transport mechanism that transports the robotic device to target bolting positions around a building under construction is presented.
125
Optimal Cross-Coupled Synchronizing Control of Dual-Drive Gantry System for a SMD Assembly Machine
TL;DR: In this article, a cross-coupled optimal synchronizing controller for a dual-drive servo system that is often used for SMD assembly machine is presented. But instead of coordinating the commands to the individual feed drives and implementing closed position loop control for each axis, this work is achieved by the evaluation of an optimal cross-Coupled compensator aimed specifically at improving synchronous accuracy in dual feed drives.
44
Synchronizing dual-drive gantry of chip mounter with LQR approach
Sung-Soo Kim,Baeksuk Chu,Daehie Hong,Heung-Keun Park,Jin-Moo Park,Tae-yeon Cho +5 more
- 20 Jul 2003
TL;DR: The results show that the proposed synchronizing controller reduces the synchronous error considerably, compared to the conventional uncoupled control for the dual-drive system.
36
GA-based fuzzy controller design for tunnel ventilation systems
Baeksuk Chu,Dongnam Kim,Daehie Hong,Jooyoung Park,Jin Taek Chung,Jae Hun Chung,Tae Hyung Kim +6 more
TL;DR: In this paper, the authors designed a fuzzy control method for tunnel ventilation system using genetic algorithm (GA), which is a stochastic global search method to maintain an adequate level of the pollutants and minimize power consumption.
35