Savior Allterrängs Modulär Räddningsrobot by Mingze Gao is a highly esteemed winner of the very prestigious 2025 A' Design Award i Brons in Futuristisk design Competition Category.
BronsFuturistisk· 2025
Savior Allterrängs Modulär Räddningsrobot
by Mingze Gao
Client: LuXun Academy of Fine Arts
A' Design Award i Brons Winner in Futuristisk Category
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- Verified Award Winner
- Verify Award Status for #164686
The Design
About Savior Allterrängs Modulär Räddningsrobot
Savior är en allterrängs modulär räddningsrobot utvecklad för arbete i katastrofområden. LiDAR-sensorer övervakar marken, och roboten växlar mellan hjul och ben för att förflytta sig över komplex terräng. Den modulära strukturen gör det möjligt att montera moduler för sök- och räddningsinsatser, medicinska ändamål, transport eller kommunikation för varje uppdrag. En vätgasmotor kan tankas eller laddas och ger en lång driftstid. Ett artificiellt intelligenssystem analyserar uppdragsdata och planerar vägen autonomt. Roboten mäter 1000 gånger 996 gånger 428 millimeter.
The Recognition
About the A' Design Award i Brons
Savior Allterrängs Modulär Räddningsrobot är vinnare av A' Design Award i Brons, ett högst prestigefyllt erkännande som tilldelas enastående designverk som utmärker sig genom kreativitet, uppfinningsrikedom och klokhet. Bronsvinnare är mycket skickliga och slående kreativa föremål som styrker formgivarnas stora erfarenhet, fantasi och påhittighet. Savior Allterrängs Modulär Räddningsrobot förväntas vara ett högt skattat, beundrat och älskat föremål som är anmärkningsvärt professionellt och innovativt. Detta vinnande verk i A' Design Award i Brons införlivar bästa praxis inom konst, vetenskap, design och teknik och är utmärkt genom sin omsorg om detaljer. Savior Allterrängs Modulär Räddningsrobot tillfredsställer fantastiskt behov, rör vid längtan, charmar känslor och väcker nyfikenhet.
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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