Savior Robot Panyalamaik Modular Sagalo Medan by Mingze Gao

Savior Robot Panyalamaik Modular Sagalo Medan by Mingze Gao is a highly esteemed winner of the very prestigious 2025 A' Design Award Gangsa in Futuristik Competition Category.

GangsaFuturistik· 2025

Savior Robot Panyalamaik Modular Sagalo Medan

by Mingze Gao

Client: LuXun Academy of Fine Arts

A' Design Award Gangsa Winner in Futuristik Category

122,431
Verified Award Winner
Verify Award Status for #164686

View at A' Design Award Press Release Award Badge

Colors

The Design

About Savior Robot Panyalamaik Modular Sagalo Medan

Savior adolah robot panyalamaik modular sagalo medan nan dikambangkan untuak bakarajo di daerah bancano. Sensor LiDAR mamantau tanah, sarato robot ko bisa batukar antaro roda jo kaki untuak bagarak di medan nan rumik. Struktur modularnyo mamungkinkan modul pancarian jo panyalamaikan, medis, angkutan, atau komunikasi dipasang sasuai jo misi nan dituju. Mesin hidrogen bisa diisi ulang atau dicaj, sahinggo manyadiokan wakatu operasi nan lamo. Sistem kecerdasan buatan manganalisis data misi sarato marancang jalur sacaro otonom. Robot ko baukuran 1000 kali 996 kali 428 milimeter.

The Recognition

About the A' Design Award Gangsa

Savior Robot Panyalamaik Modular Sagalo Medan adolah pamenang A' Design Award Gangsa, sabuah pangakuan nan sangaik bapresti nan dibarikan ka rancangan nan cemerlang nan dicirikan dek kreativitas, kacerdikan jo kabijaksanaan. Pamenang Gangsa adolah karya nan cukuik mahir jo kreatif sacaro mangesankan nan mamastikan pangalaman nan luas, imajinasi jo kacerdikan parancangnyo. Savior Robot Panyalamaik Modular Sagalo Medan dipaokan manjadi bando nan sangaik dihormati, dikagumi jo disayangi, nan profesional jo inovatif sacaro nampak. Rancangan nan manang Gangsa iko mamuek praktik tabaik dalam seni, ilimu, rancangan jo teknologi jo cemerlang dalam parhatian ka rincian. Savior Robot Panyalamaik Modular Sagalo Medan mamanuhi kaparluan jo elok, manyantuah karinduan, mamikaik parasaan jo manarik raso 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