Savior ኩሉ መሬት ዝኸይድ ሞጁላር ናይ ምድሓን ሮቦት by Mingze Gao

Savior ኩሉ መሬት ዝኸይድ ሞጁላር ናይ ምድሓን ሮቦት by Mingze Gao is a highly esteemed winner of the very prestigious 2025 ናይ ነሓስ ሽልማት A' Design Award in ናይ መጻኢ ንድፊ Competition Category.

ነሓስናይ መጻኢ· 2025

Savior ኩሉ መሬት ዝኸይድ ሞጁላር ናይ ምድሓን ሮቦት

by Mingze Gao

Client: LuXun Academy of Fine Arts

ናይ ነሓስ ሽልማት A' Design Award Winner in ናይ መጻኢ Category

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The Design

About Savior ኩሉ መሬት ዝኸይድ ሞጁላር ናይ ምድሓን ሮቦት

ሴቪየር ኣብ ከባቢታት ዕንወት ንምስራሕ ዝተሰርሐ ኩሉ መሬት ዝኸይድ ሞጁላር ናይ ምድሓን ሮቦት እዩ። ሴንሰራት ላይዳር ንባይታ ይከታተሉ፣ ሮቦትውን ኣብ መንጎ ጎማታትን እግርታትን እናቐያየረ ኣብ ዝተሓላለኸ መሬት ይንቀሳቐስ። እቲ ሞጁላር ቅርጺ ንፍልጠት ድለያን ምድሓንን፣ ሕክምናዊ፣ መጓዓዝያ ወይ ርክብ ዝኸውን ሞጁላት ኣብ ነፍሲ ወከፍ ተልእኮ ክግጠም የኽእል። ብሓይድሮጅን ዝሰርሕ ሞተር ደጊም ክምላእ ወይ ክኽፈል ዝኽእል ኮይኑ፣ ነዊሕ ግዜ ኦፕሬሽን የረጋግጽ። ስርዓት ሰብ ሰርሖ ብልሓት ናይ ተልእኮ ሓበሬታ ይትንትንን ብርእሱ መስመር ይሕንጽጽን። እቲ ሮቦት 1000 ብ 996 ብ 428 ሚሊሜተር ዝዕቀኑ ልክዓት ኣለዎ።

The Recognition

About the ናይ ነሓስ ሽልማት A' Design Award

Savior ኩሉ መሬት ዝኸይድ ሞጁላር ናይ ምድሓን ሮቦት ናይ ነሓስ ሽልማት A' Design Award ዝዓወተ እዩ፣ ብፈጠራ፣ ርእሰ ሓይልን ስቕታን ዝፍለዩ ብልጫ ዘለዎም ዲዛይናት ዝወሃብ ኣዚዩ ክቡር ኣፍልጦ። ዘዓወቱ ነሓስ ሰፊሕ ተሞክሮ፣ ምሕሳብን ርእሰ ምምዕባልን ዲዛይነራቶም ዘረጋግጹ ኣዚዮም ክኢላታትን ብዘደንቕ መገዲ ፈጠራውያንን ኣርቴፋክትታት እዮም። Savior ኩሉ መሬት ዝኸይድ ሞጁላር ናይ ምድሓን ሮቦት ብዙሕ ዝተመነየ፣ ዝደነቐን ዝፈተዎን ብኣገዳሲ መገዲ ሞያውን ሓድሽን ኣቕሓ ክኾን ይጽበ። እዚ ዝዓወተ ዲዛይን ናይ ነሓስ ሽልማት A' Design Award ኣብ ጥበብ፣ ሳይንስ፣ ዲዛይንን ቴክኖሎጂን ዝበለጹ ልምድታት ዘጣምር፣ ንዝርዝር ብዝህቦ ኣቓልቦ ድማ ዝበለጸ እዩ። Savior ኩሉ መሬት ዝኸይድ ሞጁላር ናይ ምድሓን ሮቦት ድልየታት ብጽባቐ የማልእ፣ ንድሌታት ይትንክፍ፣ ንስምዒታት የማርኽን ሕቶ ድማ የሰሕብን።

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