changhyun cho

Mr. changhyun cho

korea military academy
orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 March 2020 in Metals and Materials International
Verified
Journal Article
Closed access
PDF file
CCchanghyun cho
changhyun cho
SCSeunghun Choi
Seunghun Choi
OKOh Min Kwon
Oh Min Kwon
SLSeungha Lee
Seungha Lee
JKJong-Hwan Kim
Jong-Hwan Kim
DKDongil Kwon
Dongil Kwon

16 August 2019 in Metals and Materials International
Verified
Journal Article
Closed access
PDF file
OKOh Min Kwon
Oh Min Kwon
JWJongho Won
Jongho Won
JKJong-Hyoung Kim
Jong-Hyoung Kim
CCchanghyun cho
changhyun cho
EJEun-Chae Jeon
Eun-Chae Jeon
DKDongil Kwon
Dongil Kwon

1 August 2025 in Journal of Institute of Control, Robotics and Systems
Verified
Journal Article
Closed access
DKDongwoo Ko
Dongwoo Ko
CCchanghyun cho
changhyun cho
SPSungho Park
Sungho Park
JJJae-Hee Jang
Jae-Hee Jang
GYGyu-Hee Yoon
Gyu-Hee Yoon
DCDowan Cha
Dowan Cha
Rapid advances in artificial intelligence and robotics are reshaping the future of warfare. Humanoid robots, with their human-like form and growing autonomy, are emerging as keys in Manned-Unmanned Teaming systems, expected to perform complex tasks such as reconnaissance, logistics support, Chemical, Biological, Radiological, and Nuclear response, and casualty evacuation. While commercial humanoids are demonstrating remarkable capabilities, a significant gap remains for military applications due to technological uncertainties and the difficulty of pre-defining required operational capability. Conventional acquisition processes struggle to bridge this gap, creating bottlenecks in deployment. Therefore, this paper proposes a National Defense Humanoid Acquisition Strategy that reframes the acquisition process as a methodology for identifying and refining these requirements through iterative development. The strategy emphasizes a modular acquisition structure, operator-in-the-loop field feedback, and adaptive development for the flexible and timely integration of humanoid robots into future defense forces.