Savior Robot Penyelamat Modular Semua Medan by Mingze Gao is a highly esteemed winner of the very prestigious 2025 A' Design Award Gangsa in Reka Bentuk Futuristik Competition Category.
GangsaFuturistik· 2025
Savior Robot Penyelamat Modular Semua Medan
by Mingze Gao
Client: LuXun Academy of Fine Arts
A' Design Award Gangsa Winner in Futuristik Category
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- Verified Award Winner
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The Design
About Savior Robot Penyelamat Modular Semua Medan
Savior ialah robot penyelamat modular semua medan yang dibangunkan untuk operasi di kawasan bencana. Sensor LiDAR memantau permukaan tanah, dan robot ini bertukar antara roda dan kaki untuk bergerak merentasi medan yang kompleks. Struktur modularnya membolehkan modul carian dan penyelamatan, perubatan, pengangkutan atau komunikasi dipasang mengikut keperluan setiap misi. Enjin hidrogen boleh diisi semula bahan api atau dicas semula, memberikan tempoh operasi yang panjang. Sistem kecerdasan buatan menganalisis data misi dan merancang laluan secara autonomi. Robot ini berukuran 1000 kali 996 kali 428 milimeter.
The Recognition
About the A' Design Award Gangsa
Savior Robot Penyelamat Modular Semua Medan ialah pemenang A' Design Award Gangsa, pengiktirafan yang amat berprestij yang dianugerahkan kepada reka bentuk cemerlang yang dicirikan oleh kreativiti, kecerdikan dan ketajaman fikiran. Pemenang Gangsa ialah artifak yang amat mahir dan sangat kreatif yang membuktikan pengalaman luas, imaginasi dan akal budi pereka bentuknya. Savior Robot Penyelamat Modular Semua Medan diharapkan menjadi objek yang sangat dihargai, dikagumi dan disayangi, sangat profesional dan inovatif. Reka bentuk pemenang A' Design Award Gangsa ini merangkumi amalan terbaik dalam seni, sains, reka bentuk dan teknologi, dan cemerlang dalam perhatiannya terhadap butiran. Savior Robot Penyelamat Modular Semua Medan memenuhi keperluan dengan indah, menyentuh keinginan, memikat perasaan dan menarik rasa ingin tahu.
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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