Savior 全地形対応モジュラー型レスキューロボット by Mingze Gao

Savior 全地形対応モジュラー型レスキューロボット by Mingze Gao is a highly esteemed winner of the very prestigious 2025 A' Design Award 銅賞 in 未来的デザイン Competition Category.

銅未来的· 2025

Savior 全地形対応モジュラー型レスキューロボット

by Mingze Gao

Client: LuXun Academy of Fine Arts

A' Design Award 銅賞 Winner in 未来的 Category

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Verified Award Winner

Verify Award Status for #164686

View at A' Design Award Press Release Award Badge

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The Design

About Savior 全地形対応モジュラー型レスキューロボット

Saviorは、災害地域での活動を目的として開発された全地形対応モジュラー型レスキューロボットです。LiDARセンサーが地表を監視し、複雑な地形を移動する際には車輪と脚を切り替えます。モジュラー構造により、各ミッションに応じて捜索救助、医療、輸送、通信の各モジュールを装着できます。水素エンジンは燃料補給または充電が可能で、長時間の稼働を実現します。人工知能システムがミッションデータを解析し、自律的に経路を計画します。本体寸法は1000×996×428ミリメートルです。

The Recognition

About the A' Design Award 銅賞

Savior 全地形対応モジュラー型レスキューロボットは、創造性、独創性、鋭い洞察力で際立つ傑出したデザインに授与される、高い権威をもつ評価である A' Design Award 銅賞の受賞作品です。銅賞の受賞作品は、十分に巧みで印象的なほど創造的な工芸品であり、デザイナーの豊富な経験、想像力、機知を裏づけています。Savior 全地形対応モジュラー型レスキューロボットは、高く評価され、称賛され、愛される品であり、顕著にプロフェッショナルで革新的であることが期待されます。この A' Design Award 銅賞を受賞したデザインは、芸術・科学・デザイン・技術のベストプラクティスを取り入れており、細部への配慮に優れています。Savior 全地形対応モジュラー型レスキューロボットは、ニーズを見事に満たし、欲求に触れ、感情を魅了し、好奇心を引きつけます。

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