Savior د ټول-تختي متحرک مدولر ژغورنې روبوت by Mingze Gao is a highly esteemed winner of the very prestigious 2025 د برونز A' Design Award جایزه in راتلونکنیز ډیزاین Competition Category.
برونزراتلونکنیز· 2025
Savior د ټول-تختي متحرک مدولر ژغورنې روبوت
by Mingze Gao
Client: LuXun Academy of Fine Arts
د برونز A' Design Award جایزه Winner in راتلونکنیز Category
Verified Award Winner
Verify Award Status for #164686The Design
About Savior د ټول-تختي متحرک مدولر ژغورنې روبوت
ژغورنه یو د ټول-تختي متحرک مدولر ژغورنې روبوت دی چې د پرمختللو سیمو کې کار لپاره ډیزاین شوی. د لیډار سینسرونه ځمکه څار کوي، او روبوت د پیچلي تختي پر مخ حرکت لپاره د روپو او پښو ترمنځ بدلون کوي. مدولر جوړښت اجازه ورکوي چې د پلټنې او ژغورنې، طبي، لېږد یا اړیکو مدولونه د هر ماموریت لپاره ځای پر ځای شي. د هایدروجن انجن ته بیا تېل یا بیا چارج کیدی شي او یو اوږد کاري وخت وړاندې کوي. د مصنوعي ځیرکتیا سیستم د ماموریت معلومات تحلیلوي او لاره په خپلواکه توګه پلانوي. روبوت ۱۰۰۰ په ۹۹۶ په ۴۲۸ ملي متره کې اندازه لري.
The Recognition
About the د برونز A' Design Award جایزه
Savior د ټول-تختي متحرک مدولر ژغورنې روبوت د برونز A' Design Award جایزې ګټونکی دی، یوه ډېره ویاړلې پېژندنه چې غوره ډیزاینونو ته ورکول کېږي چې په خلاقیت، هوښیارۍ او زیرکتیا ځانګړي دي. د برونز ګټونکي ډېر ماهر او په حیرانوونکي ډول خلاقي آثار دي چې د خپلو ډیزاینرانو پراخ تجربه، تخیل او چارواکتیا تاییدوي. له Savior د ټول-تختي متحرک مدولر ژغورنې روبوت څخه تمه کېږي چې یو ډېر ارزښتناک، ستایل شوی او ګران شی وي چې په پام وړ ډول مسلکي او نوښتګر دی. دا د برونز A' Design Award جایزې ګټونکی ډیزاین په هنر، ساینس، ډیزاین او ټیکنالوژۍ کې غوره کړنلارې یو ځای کوي او د جزیاتو ته د پاملرنې له امله غوره دی. Savior د ټول-تختي متحرک مدولر ژغورنې روبوت اړتیاوې په ښکلي ډول پوره کوي، هیلو ته رسېږي، احساسات ځانته ملګري کوي او لیوالتیا راپاروي.
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
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