Verified AVIS identity
J

Jee-Hyun Yang

MingChi University of Technology

AVIS ID 142701TW

2

Events

0

Organizations

4

Awards

1

Papers

Organizations

Federations, chapters and organizers this person is listed on

Not listed on any organization

Events

Competitions and programmes taken part in, and in what capacity

2
F

FIRA RoboWorld Cup & Summit 2025

Verified by AVIS

Pro Coach

TKU · HuroCup

F

FIRA RoboWorld Cup & Summit 2026

Verified by AVIS

Pro Coach

TKU Kid · HuroCup Kid Size , TKU KID · HuroCup Kid Size

Awards & recognitions

Achievements earned with a team

4

1st Place All Round

Verified by AVIS

TKU KID · FIRA RoboWorld Cup & Summit 2026

1st Place Mobility

Verified by AVIS

TKU KID · FIRA RoboWorld Cup & Summit 2026

1st Place Manipulation

Verified by AVIS

TKU KID · FIRA RoboWorld Cup & Summit 2026

1st Place Hybrid

Verified by AVIS

TKU KID · FIRA RoboWorld Cup & Summit 2026

Conference papers

Research submitted to AVIS conferences

1

Practice-Oriented Design Strategies for Humanoid Robot Platforms Based on Competition Experience

Accepted

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

Courses & programmes

Training enrolled in

No course enrollments