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professors emeritus
Dahie Hong
Name
Daehei Hong | Professor
Tel
+82-2-3290-3369
Fax
+82-2-929-9290
E-mail
dhhong@korea.ac.kr
address
312, Department of Mechanical Engineering, Korea University, 5-Ga, Anamdong Sungbuk-Gu, Seoul, Korea, 136-713
Education
Feb. 1985 B.S. of Mechanical Engineering, Korea University, Seoul, Korea
Aug. 1987 M.S. of Mechanical Engineering, Korea University, Seoul, Korea
Sep. 1994 Ph.D. of Mechanical Engineering, University of California Davis, U.S.A.
Lab.
Mechatronics & Field Robotics Lab.
1. Robotic Automation System for Steel Beam Assembly in Building Construction
In building construction, steel beam assembly has been considered as one of the most dangerous manual operations. Employing robotic systems to automate such construction tasks gives the following advantages: saving construction time and cost, enhancing operator’s safety, and improving overall quality. The automated robotic assembly system developed by us consists of a robotic bolting device, a robotic mobile mechanism, and a bolting control system including human-machine interface.
2. Development of Intelligent Excavator
An autonomous excavator has been developed. In the autonomous excavator, the bucket path is automatically generated such that the obstacles in the earth and/or in the air are avoided during earth moving tasks. Also, a position control is developed, which can precisely follow the master command adapting soil conditions. In the control system, the pressure information of each cylinder together with excavator dynamics is utilized instead of using costly force sensors.
3. Haptic Control for Dismantling Process
Excavator is often used for dismantling work. The dismantling work is very dangerous so that remote control is frequently utilized rather than sitting on the machine and being directly exposed to the dangerous situations. This research deals with a haptic control for this remote control of dismantling excavator. Through the research, a novel control master is developed, which is much more intuitive than conventional joystick and furthermore reflect force feedback from the slave excavator. In that way, the excavator can be controller easier and safer.
4. Haptic Simulation Technology for Human-Product Interaction
The core idea behind this research is to use motor control rather than just dead weight for human resistance training. With the active motor control, the resistance and the path for individual trainee can be optimally adjusted anytime. Also, the optimal weight and the path can be derived from muscular-skeletal analysis. This resistance training machine is called as “Smart Exercise Machine” and consists of 2-axis motor controls that have impedance control capability. With the machine, customized resistance training is possible after the measuring individual data and interacting force. We are also developing advanced control algorithms for the simulator generating various forms of resistance training method based on impedance control. Also this research enables accurate posture based training and preventing physical injury.