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Savior Terrængående modulær redningsrobot by Mingze Gao

Savior Terrængående modulær redningsrobot by Mingze Gao is a highly esteemed winner of the very prestigious 2025 A' Design Award i Bronze in Futuristisk Design Competition Category.


BronzeFuturistisk· 2025

Savior Terrængående modulær redningsrobot

by Mingze Gao

Client: LuXun Academy of Fine Arts

A' Design Award i Bronze Winner in Futuristisk Category

Colors

The Design

About Savior Terrængående modulær redningsrobot

Savior er en terrængående modulær redningsrobot udviklet til arbejde i katastrofeområder. LiDAR-sensorer overvåger terrænet, og robotten skifter mellem hjul og ben for at bevæge sig gennem komplekst terræn. Den modulære opbygning gør det muligt at montere moduler til eftersøgning og redning, medicinsk behandling, transport eller kommunikation alt efter opgavens behov. En hydrogenmotor kan optankes eller genoplades og giver en lang driftstid. Et kunstigt intelligenssystem analyserer missionsdata og planlægger ruten autonomt. Robotten måler 1000 x 996 x 428 millimeter.

The Recognition

About the A' Design Award i Bronze

Savior Terrængående modulær redningsrobot er vinder af A' Design Award i Bronze, en højt prestigefyldt anerkendelse, der tildeles enestående designs, som udmærker sig ved kreativitet, opfindsomhed og skarpsindighed. Bronzevinderne er rigeligt dygtige og påfaldende kreative artefakter, der bekræfter deres designeres store erfaring, fantasi og snilde. Savior Terrængående modulær redningsrobot forventes at være en højt estimeret, beundret og kær genstand, der er bemærkelsesværdigt professionel og innovativ. Dette design, der har vundet A' Design Award i Bronze, indarbejder bedste praksis inden for kunst, videnskab, design og teknologi og er fremragende på grund af sin sans for detaljer. Savior Terrængående modulær redningsrobot tilfredsstiller pragtfuldt behov, rører længsler, charmerer følelser og appellerer til nysgerrigheden.

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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