Process layout
Process Overview
The Magiclab humanoid robot (Magicbot) was introduced at the Yonam Institute of Technology AI DX Center for exhibition, visitor reception, and educational/research practice purposes.
Project Background and Objective
Yonam Institute of Technology is building an AI/digital twin-based practice environment to respond to the AI DX era. To this end, various robot equipment, including humanoids, were introduced through Marosol. This practice environment supports students in experiencing actual industrial-level robot/AI convergence technology and aims to foster practical-oriented AI DX talent.
In particular, the humanoid robot was introduced so that it can be expanded and utilized for various educational and research projects, such as Open API-based control, sensors, and motion implementation practice, rather than just for exhibition and demonstrations.
Components
| Robot | Magiclab research Humanoid robot MagicBot Z1 |
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Workflow
| STEP 1. | Utilized for visitor welcome greetings and guidance scenarios at the Yonam Institute of Technology AI DX Center |
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| STEP 2. | Conducted motion implementation, control function testing, and customization according to research and practice purposes |
| STEP 3. | One-stop support provided from inspection → delivery → installation/initial setup → training → after-sales management |
Features
Ultra-Wide Joint Rotation & High Output Torque
Joint rotation range of up to 320°
Joint torque of 130N·m or more
Implementation of high-speed, high-output operations and human-level agile movements
Powerful Durability
Impact-resistant structure that passed tens of thousands of drop tests
Application of industrial high-rigidity bearings (withstands impacts of up to 8.7kN)
AI-Based Fast Learning
Based on IL (Imitation Learning) + RL (Reinforcement Learning)
Capable of learning humanoid full-body motions within 24 hours
360° Environmental Awareness via Multi-Sensors
Fusion of complex sensors including 3D LiDAR / Depth Camera / Binocular Camera / IMU
→ Enables autonomous movement and obstacle avoidance even in complex environments
11DoF Tactile Robotic Hand
Internally developed 11-degrees-of-freedom robotic hand
Capable of precision manipulation and gripping various objects
Open Source & Open Control Environment
Provides rich Open APIs
Allows users to directly customize robot motions, sensors, and control systems
Results
| Key Benefits | Selected with equipment construction efficiency in mind due to reasonable introduction costs compared to same-class specifications
Prioritized models equipped with robotic hands (grippers) as standard to increase utility without separate additional development
The Open API/open control environment, expandable for educational and research projects, acted as a positive factor in the decision
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| Client Feedback | From the perspective of building an AI DX Center practice environment, it has a wide range of utility as it can be expanded into educational and research projects alongside exhibition and guidance use.
We expect customization tailored to student projects and research topics based on the Open API.
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