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Savior 전지형 모듈형 구조 로봇 by Mingze Gao

Savior 전지형 모듈형 구조 로봇 by Mingze Gao is a highly esteemed winner of the very prestigious 2025 A' Design Award 동상 in 미래주의 디자인 Competition Category.


동미래주의· 2025

Savior 전지형 모듈형 구조 로봇

by Mingze Gao

Client: LuXun Academy of Fine Arts

A' Design Award 동상 Winner in 미래주의 Category

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Verified Award Winner

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The Design

About Savior 전지형 모듈형 구조 로봇

세이비어(Savior)는 재난 지역에서의 활동을 위해 개발된 전지형 모듈형 구조 로봇이다. 라이다(LiDAR) 센서가 지면을 감지하며, 로봇은 복잡한 지형을 이동하기 위해 바퀴와 다리 방식을 전환한다. 모듈형 구조를 통해 임무에 따라 탐색구조, 의료, 운송 또는 통신 모듈을 장착할 수 있다. 수소 엔진은 재급유 또는 재충전이 가능하며 긴 작동 시간을 제공한다. 인공지능 시스템은 임무 데이터를 분석하고 경로를 자율적으로 계획한다. 로봇의 크기는 1000 x 996 x 428밀리미터이다.

The Recognition

About the A' Design Award 동상

Savior 전지형 모듈형 구조 로봇, 이 작품은 A' Design Award 동상 수상작으로, 창의성, 독창성, 영민함으로 돋보이는 뛰어난 디자인에 수여되는 높은 권위의 인정입니다. 동상 수상작은 충분히 숙련되고 인상적으로 창의적인 작품으로, 디자이너의 폭넓은 경험, 상상력, 기지를 입증합니다. Savior 전지형 모듈형 구조 로봇, 이 작품은 높이 평가받고 감탄과 사랑을 받는 사물로서 두드러지게 전문적이고 혁신적일 것으로 기대됩니다. 이 동상 수상 디자인은 예술, 과학, 디자인, 기술의 모범 사례를 담고 있으며 세부에 대한 주의로 훌륭합니다. Savior 전지형 모듈형 구조 로봇, 이 작품은 필요를 훌륭하게 충족하고 욕망에 닿으며 감정을 매료하고 호기심을 불러일으킵니다.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties
Terrain adaptability can rely on LiDAR sensors. The robot automatically switches wheels and feet according to the terrain and drives in complex terrain. The modular design provides different rescue modules to meet various rescue needs. The hydrogen motor is rechargeable and can be refueled with hydrogen. It has a long endurance and can run for a long time. AI can analyze actions autonomously.
Dimensions & Packaging
The dimensions of the robot are 1000mm in length, 996mm in width, and 428mm in height
Tags
Intelligent rescue, modular design, hydrogen energy, AI adaptation, disaster relief
Production Technology
Manufacturing of core components such as precision robot skeletons and drive systems. AI integration enhances the robot's autonomous analysis capabilities through learning model training. Energy systems are used to develop hydrogen engine charging and endurance technologies.
Design Challenge
How to balance the durability and maneuverability of the caster structure. How to improve the endurance of the hydrogen engine. Integrate the accuracy and stability of the AI system to work uninterruptedly in complex environments.
Research
This study develops a terrain intelligent rescue robot with modular design, integrated aluminum, and adaptive tire structure, which can quickly perform search and rescue, medical treatment, transportation, communication and other tasks in disaster areas.
Improve rescue efficiency, reduce casualties, and promote the development of emergency rescue technology.
Inspiration
The inspiration for this design comes from the limitations and inefficiency of traditional rescue methods when natural disasters occur frequently. Faced with complex terrain and harsh environment, traditional rescue equipment often has difficulty reaching the scene quickly, resulting in rescue delays. Therefore, the design team hopes to break through the existing technical bottlenecks through the terrain intelligent rescue robot, improve rescue efficiency, and reduce disaster losses.
Project Duration
It starts from March 1, 2024 and ends on June 25, 2024, and is located at Lu Xun Academy of Fine Arts
Operation Flow
Start the robot and activate the core functional modules. Select the search and rescue, medical, transportation or communication module according to the mission requirements. The lidar sensor starts to monitor the terrain, and the robot switches the driving mode adaptively. The AI system analyzes the mission data and autonomously plans the action path. After completing the mission, return to the base or wait for further instructions.
Patents
Mingze Gao
Team Members
Jiangbo Chen
Guangpeng yue
Mingze Gao
Jingquan You
Jiaying Yu
Zhilin Jia
Zhiming Zhang
Zhen Wang
Meishuang Liu
Ze Li
Lanyu Chang
Zihan Gao
Jingqi Wu
Bo Li
Mingxi Li

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