Savior Basic Function: Robhoti Yekununura Inoshanda Munzvimbo Dzese by Mingze Gao

Savior Basic Function: Robhoti Yekununura Inoshanda Munzvimbo Dzese by Mingze Gao is a highly esteemed winner of the very prestigious 2025 Mubairo weBronzi we A' Design Award in Dhizaini yeRamangwana Competition Category.

BronziRamangwana· 2025

Savior Basic Function: Robhoti Yekununura Inoshanda Munzvimbo Dzese

by Mingze Gao

Client: LuXun Academy of Fine Arts

Mubairo weBronzi we A' Design Award Winner in Ramangwana Category

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The Design

About Savior Basic Function: Robhoti Yekununura Inoshanda Munzvimbo Dzese

Savior i robhoti yekununura inoshanda munzvimbo dzese, yakagadzirirwa kushandiswa munzvimbo dzakawirwa nenjodzi. Ma sensor eLiDAR anotarisa pasi, uye robhoti inochinja pakati pemavhiri netsoka kuti ifambe munzira dzakaoma. Chimiro chayo chinogona kushandurwa chinobvumira kuti zvikamu zvekutsvaga nekununura, zvekurapa, zvekutakura kana zvekukurukurirana zviiswe maererano nebasa rimwe nerimwe. Injini yehydrogen inogona kuzadzwa zvakare kana kuchajwa uye inopa nguva refu yekushanda. Sisitimu ye artificial intelligence inoongorora ruzivo rwebasa uye inoronga nzira yega yega isina kubatsirwa nemunhu. Robhoti iyi inoyera 1000 ne 996 ne 428 millimeters.

The Recognition

About the Mubairo weBronzi we A' Design Award

Mubairo weBronzi we A' Design Award wakahwinwa ne Savior Basic Function: Robhoti Yekununura Inoshanda Munzvimbo Dzese, rukudzo rwakakwirira kwazvo runopiwa kumadhizaini akasiyana anozivikanwa nekugadzira, njere nekungwara. Vakunda veBronzi mabasa ane unyanzvi hwakakwana uye kugadzira kunoshamisa kunosimbisa ruzivo rukuru, pfungwa nehunyanzvi hwevagadziri vawo. Savior Basic Function: Robhoti Yekununura Inoshanda Munzvimbo Dzese inotarisirwa kuva chinhu chinokudzwa kwazvo, chinoremekedzwa uye chinodiwa, chine hunyanzvi hunoonekwa uye zvitsva. Dhizaini iyi yakahwina Mubairo weBronzi we A' Design Award inosanganisa maitiro akanakisa muhunyanzvi, sayenzi, dhizaini netekinoroji uye yakasiyana nekutarisisa zvidiki. Savior Basic Function: Robhoti Yekununura Inoshanda Munzvimbo Dzese inogutsa zvinodiwa zvakanaka, inobata zvishuvo, inokwezva manzwiro uye inomutsa kuda kuziva.

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