Professor, KNU

Email: minykim@knu.ac.kr

Kyungpook National University:

• omrob.knu.ac.kr
• research.knu.ac.kr/en/persons/min-young-kim

LinkedIn profile: linkedin.com/in/min-young-kim-735772b0/

Description of work:

Min Young Kim is a researcher specializing in optomechatronics, intelligent systems, and multi-scale robotics. His work focuses on integrating optical technologies with robotics and mechatronic systems to create advanced sensing, perception, and control capabilities for next-generation robotic platforms.

His research can be summarized into four major themes:

1. Optomechatronic Systems and Technology Fusion
He develops integrated systems combining optics, mechanics, electronics, and embedded computing. His work emphasizes interdisciplinary “systemic fusion,” where optical sensing and mechatronic control operate together to enhance robotic intelligence and adaptability.

2. Advanced Vision and Imaging Systems
A major part of his research involves adaptive vision systems, infrared imaging, light-field imaging, and multimodal sensing. His projects include:

• Adaptive light-field vision systems for object detection and tracking
• EO/IR multimodal imaging for drone tracking in defense applications
• Adaptive image restoration for noisy infrared imaging systems
• Vision-based navigation systems for surgical robotics

3. Multi-Scale Robotics and Intelligent Perception
His laboratory investigates robotic systems operating across macro and micro scales, including:

• Biomedical and surgical robots
• Semiconductor inspection robots
• Autonomous aerial and ground robotic systems
• Micro-opto-mechanical systems (MOEMS)

4. AI-Based Computer Vision and Sensor Fusion
His recent publications demonstrate strong engagement with deep learning and AI-driven perception, including:

• Real-time semantic segmentation using feature pyramid networks
• Machine-learning-based human detection systems
• Multimodal sensor fusion architectures
• 3D reconstruction using laser and speckle imaging methods

His research contributions are characterized by:

• Integration of optical sensing with intelligent robotic control
• Real-time perception in challenging environments
• Multi-sensor fusion for autonomous systems
• Application-oriented engineering for defense, medical, and industrial robotics

He has also contributed patented technologies in optical measurement and interferometric inspection systems, including multiple U.S. patents.

Assistant Professor

Email: tonygchen@gatech.edu

Linkedin profile: linkedin.com/in/tonygchen/

Description of work:

Tony G. Chen is an Assistant Professor at the Georgia Institute of Technology, in the George W. Woodruff School of Mechanical Engineering. His research focuses on designing mechanical intelligent mechanisms for manipulation and locomotion, with application areas in bio-inspired robotics and field robotics. Mechanical intelligence allows us to develop mechanisms and robotic platforms that make challenges for perception, control, and autonomy easier or more robust for natural, unstructured, and often unpredictable environments by virtue of their physical designs.

Additional info: me.gatech.edu/user/1105