由設計師 Mingze Gao 創作嘅 Savior 全地形模組化救援機器人係備受推崇嘅 2025 A' Design Award 銅獎得獎作品，獲獎類別為未來設計。

銅未來· 2025

Savior 全地形模組化救援機器人

由 Mingze Gao

客戶: LuXun Academy of Fine Arts

未來類別嘅 A' Design Award 銅獎得獎者

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經驗證嘅獲獎者

驗證設計 #164686 嘅獲獎狀態

喺 A' Design Award 查看新聞稿獎項徽章

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設計

關於 Savior 全地形模組化救援機器人

Savior係一款專為災區工作而設計嘅全地形模組化救援機器人。LiDAR感測器監測地面狀況，機器人可以喺輪式同足式之間切換，以應付複雜地形。模組化結構容許根據任務需要，裝配搜救、醫療、運輸或通訊模組。氫氣引擎可以加燃料或充電，提供長時間運作能力。人工智能系統會分析任務數據，並自主規劃路徑。呢部機器人尺寸為1000 x 996 x 428毫米。

榮譽認可

關於A' Design Award 銅獎

Savior 全地形模組化救援機器人是 A' Design Award 銅獎得主，這是授予以創造力、獨創性和敏銳見長的傑出設計的極具聲望的認可。銅獎得主是技藝嫻熟、創意驚人的作品，印證了其設計師豐富的經驗、想像力與機智。預計Savior 全地形模組化救援機器人將成為一件備受推崇、令人欽佩且被珍愛的物品，兼具顯著的專業性與創新性。這件贏得 A' Design Award 銅獎的設計融入藝術、科學、設計和技術領域的最佳實踐，並因注重細節而出類拔萃。Savior 全地形模組化救援機器人出色地滿足需求，觸動渴望，迷住情感，並吸引好奇心。

設計背後

新聞資料包

由設計師提供嘅製作人員名單、團隊成員同技術詳情。

獨特屬性: 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.
尺寸同包裝: The dimensions of the robot are 1000mm in length, 996mm in width, and 428mm in height
標籤: Intelligent rescue, modular design, hydrogen energy, AI adaptation, disaster relief
生產技術: 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.
設計挑戰: 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.
研究: 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.
靈感: 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.
項目時長: It starts from March 1, 2024 and ends on June 25, 2024, and is located at Lu Xun Academy of Fine Arts
操作流程: 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.
專利: Mingze Gao
團隊成員: 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