Jee-Hyun Yang
MingChi University of Technology
2
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Organizations
4
Awards
1
Papers
Organizations
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Events
Competitions and programmes taken part in, and in what capacity
FIRA RoboWorld Cup & Summit 2025
Verified by AVISTKU · HuroCup
FIRA RoboWorld Cup & Summit 2026
Verified by AVISTKU Kid · HuroCup Kid Size , TKU KID · HuroCup Kid Size
Awards & recognitions
Achievements earned with a team
1st Place All Round
Verified by AVISTKU KID · FIRA RoboWorld Cup & Summit 2026
1st Place Mobility
Verified by AVISTKU KID · FIRA RoboWorld Cup & Summit 2026
1st Place Manipulation
Verified by AVISTKU KID · FIRA RoboWorld Cup & Summit 2026
1st Place Hybrid
Verified by AVISTKU KID · FIRA RoboWorld Cup & Summit 2026
Conference papers
Research submitted to AVIS conferences
Practice-Oriented Design Strategies for Humanoid Robot Platforms Based on Competition Experience
This paper presents heuristic design methodologies for humanoid robots developed through practical experience in international humanoid robot competitions. Since humanoid robot development requires close integration between design and engineering, this study proposes an approach that connects technical requirements with design-oriented decision-making. The proposed approach focuses on mechanical and electrical design strategies derived from repeated prototyping, testing, and competition-based refinement. For mechanical design, this paper introduces lightweight structural concepts and optimized wiring layouts using hollow shafts. These strategies improve robustness, reduce unnecessary weight, and support efficient dynamic movement in diverse environments. For electrical design, the paper explains component selection based on performance, reliability, and operational efficiency. Main and sub controllers, sensors, actuators, and communication modules are selected to support control algorithms, artificial intelligence (AI), real-time data processing, and stable communication. Based on practical experience, this paper discusses key challenges in humanoid robot development and practical solutions obtained through iterative improvement. By sharing design strategies grounded in real-world implementation, this research offers useful insights for developing effective humanoid robot platforms.
Jee-Hyun Yang, JAESIK JEONG Verified by AVIS CertificateFIRA World Summit 2026Submitted 5 Jun 2026
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