设计师 Mingze Gao 的作品 Savior 全地形模块化救援机器人荣获了极具声望的 2025 A' Design Award 铜奖，竞赛类别为未来主义设计。

铜未来主义· 2025

Savior 全地形模块化救援机器人

设计师： Mingze Gao

客户: LuXun Academy of Fine Arts

未来主义类别A' Design Award 铜奖获奖者

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关于 Savior 全地形模块化救援机器人

Savior是一款专为灾区作业而研发的全地形模块化救援机器人。激光雷达传感器实时监测地面状况,机器人可在轮式与足式之间自由切换,以穿越复杂地形。模块化结构使其能够根据不同任务加装搜救、医疗、运输或通信模块。氢动力引擎支持加注燃料或充电,可提供长时间的持续作业能力。人工智能系统负责分析任务数据并自主规划路径。机器人整体尺寸为1000 × 996 × 428毫米。

荣誉认可

关于A' Design Award 铜奖

Savior 全地形模块化救援机器人是 A' Design Award 铜奖得主，这是授予以创造力、独创性和敏锐见长的杰出设计的极具声望的认可。铜奖得主是技艺娴熟、创意惊人的作品，印证了其设计师丰富的经验、想象力与机智。预计Savior 全地形模块化救援机器人将成为一件备受推崇、令人钦佩且被珍爱的物品，兼具显著的专业性与创新性。这件赢得 A' Design Award 铜奖的设计融入艺术、科学、设计和技术领域的最佳实践，并因注重细节而出类拔萃。Savior 全地形模块化救援机器人出色地满足需求，触动渴望，迷住情感，并吸引好奇心。

设计幕后

媒体资料包

由设计师提供的致谢、团队成员及技术详情。

独特属性: 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.
尺寸与包装: The dimensions of the robot are 1000mm in length, 996mm in width, and 428mm in height
标签: Intelligent rescue, modular design, hydrogen energy, AI adaptation, disaster relief
生产技术: 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.
设计挑战: 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.
灵感: 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.
项目周期: 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.
专利: Mingze Gao
团队成员: 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