UM develops novel magnetic soft robots with on-demand hardening
澳大成功研發新型磁控機器人
A research team led by Xu Qingsong, professor in the Department of Electromechanical Engineering of the Faculty of Science and Technology at the University of Macau (UM), has developed a novel on-demand hardening magnetic soft robot. With the advantages of on-demand hardening and flexible deployment, the robot not only can perform a given task alone with high output forces, but can also be used in conjunction with existing surgical robots, representing a significant advance in the design and application of magnetically controlled robots. The research results have been published in Research, an internationally renowned journal under Science.
Magnetically controlled robots have shown great advantages in medical applications because of their wireless actuation and control characteristics. However, in actual clinical applications, existing magnetically controlled soft robots have limitations, such as limited functions, small output force, and low structural stiffness. Therefore, there is an urgent need for more flexible and adaptive deployment strategies and design methods to fully utilise the performance of magnetically controlled robots and improve their functions. The magnetically controlled soft robot developed by Prof Xu’s research team is capable of switching its stiffness quickly and in a controlled manner, adhering flexibly to the surface of various objects, and providing powerful output forces. The research results offer a promising way to enable magnetically controlled robots to perform more powerful control functions.
The research team’s experimental results show that using a mixture of magnetic particles and non-Newtonian fluidic soft materials to produce magnetic soft robots can achieve programmable hardening, controlled adhesion, soft reconfiguration, and other properties. By applying an external magnetic field, a 1-gram magnetic soft robot can leverage its adhesion and magnetic actuation to pick up an object 300 times its weight. The soft robot can adhere to a variety of object surfaces, enabling the ability of magnetic actuation with improved performance. The soft robot can be used in conjunction with traditional surgical robots to provide precise magnetic navigation and control, as well as a broader range of functions, including adhesion grasping and related operations. In addition, the non-Newtonian properties of the soft robot can be activated by applying a rapidly changing wireless magnetic field. This enables the robot to change between fluid and solid forms in real time and a controlled manner, facilitating swift liquid-solid phase transitions.
The magnetic soft robot developed by Prof Xu’s research team has the following advantages: 1) It has an ultra-soft structure and good adhesion properties that allow flexible deployment, and it can be used in collaboration with existing surgical equipment; 2) Its adhesion properties can be controlled and adjusted by an external magnetic field, which helps perform more functions; 3) It can achieve swift programmable hardening and improve its mechanical strength and stiffness, and provide significant output forces. According to the research team, the realisation of a powerful magnetically controlled robot is of great value for advanced medical applications, and the proposed design ideas and utilisation strategies have reference significance for research in the field.
Prof Xu Qingsong is the corresponding author of the study, and Xu Zichen, a PhD student in the Department of Electromechanical Engineering of UM’s Faculty of Science and Technology, is the first author. PhD student Chen Yuanhe also contributed to the study. The research project was supported by the National Natural Science Foundation of China (File no: 52175556), the Science and Technology Development Fund of the Macao SAR (File no: 0102/2022/A2, 0004/2022/AKP, and 0153/2019/A3), and UM (File no: MYRG2022-00068-FST and MYRG-CRG2022-00004-FST-ICI). The full version of the research article can be viewed at: https://spj.science.org/doi/abs/10.34133/research.0262.
澳門大學科技學院機電工程系教授徐青松的研究團隊開發出一種新型磁控可塗抹的按需硬化軟體機器人,具有快速可控硬化和靈活部署的優勢,不僅可以憑藉強大輸出力單獨完成指定任務,還可與現有的手術機器人協同使用,在磁控機器人的設計與應用方面取得重大進展。研究成果已於Science旗下國際知名期刊《研究》發表。
磁控機器人因其無線驅動和控制的特性,在醫療應用中體現出巨大優勢。但在實際臨床應用中,現有的磁控機器人存在功能少、輸出力小、結構剛度小等局限性。因此,磁控機器人急需更加靈活、更強自適應性的部署策略和設計方法,才能充分發揮出其效能。徐青松研究團隊開發的磁控機器人具有自身硬度快速可控切換的能力,可以靈活地黏附在各種物體表面,並提供強大的磁控輸出力。該研究結果進一步實現磁控機器人取得更強大的操控功能。
研究團隊的實驗結果表明,採用磁性顆粒和非牛頓流體軟材料的混合物來製作磁控機器人可以實現可編程硬化、可控黏附、柔軟可重構等特性。通過施加外部磁場,借助磁控機器人的黏附和磁驅動,重量1克的磁控機器人能夠抓起自身300倍重量的物體。該磁控機器人可以黏附在各種物體的表面,賦予其磁性驅動的能力,從而提升操控性能。磁控機器人能夠與傳統手術機器人一起協同使用,為其提供精準的磁驅動導航和控制,以及提供更多樣化的功能,包括黏附抓取等相關操作。此外,磁控機器人還可通過施加快速變化的無線磁場來激活當中的非牛頓特性,使其可以在流體和固體形態之間進行實時可控的切換,從而快速實現硬度切換。
徐青松研究團隊開發的磁控機器人具有以下優點:1. 具有超柔軟的結構和良好的黏附特性,可以實現靈活的部署,並可與現有的手術設備協同使用;2. 其黏附特性可以由外加磁場可控調整,有助於實現更加多樣化的功能;3. 能夠實現快速的可編程硬化,提高自身機械剛度與硬度,並且提供強大輸出力。團隊表示,設計出功能強大的磁控機器人在先進醫療應用方面具有重要價值,所提出的設計思想與應用策略對於相關研究具有重要的借鑒意義。
該研究的通訊作者為徐青松,第一作者為澳大科技學院機電工程系博士生徐子晨,博士生陳遠赫也對研究作出重要貢獻。研究項目獲國家自然科學基金(檔案編號:52175556)、澳門特別行政區科學技術發展基金(檔案編號:0102/2022/A2, 0004/2022/AKP和0153/2019/A3)及澳門大學(檔案編號:MYRG2022-00068-FST和MYRG-CRG2022-00004-FST-ICI)資助。全文可瀏覽:https://spj.science.org/doi/abs/10.34133/research.0262
UM PhD student wins Best Conference Paper Award at IEEE International Conference on Development and Learning 2023
澳大博士生奪2023 IEEE發展與學習國際會議最佳會議論文獎
UM PhD student wins Best Conference Paper Award at IEEE International Conference on Development and Learning 2023
Mr. Zhengyang Li, a PhD student from the Department of Electromechanical Engineering (EME), Faculty of Science and Technology (FST), University of Macau (UM), has won the Best Conference Paper Award at the IEEE International Conference on Development and Learning (ICDL 2023), Macau, China.
The IEEE International Conference on Development and Learning (ICDL) is a joint conference of the IEEE Robotics and Automation Society (RAS) and IEEE Computational Intelligence Society (CIS). ICDL 2023 received an overwhelming number of over 130 papers all around the world. After rigorous evaluation and competitive presentation, two awards including the Best Conference Paper Award and Best Student Paper are selected from the nominated award finalists, with less than one percent of the researchers winning these honors. The Best Conference Paper Award honors the best two papers in the conference.
In the finalist presentation section, Mr. Zhengyang Li represented the research group by presenting a paper titled “Intelligent Magnetic Control and Surgical Planning of a Multi-Segment Robotic Catheter for Endovascular Intervention”. The research proposed a multi-segment magnetic soft catheter robot targeted for cardiovascular therapy. The intelligent control framework combines the adaptive control method and preoperative surgical planning, which successfully navigates the magnetic catheter robot in a human-sized arterial model. Its novelty and promising potential in both clinical and training applications are fully recognized by the conference’s committees and receive widespread attention from the robotics community.
This research is supervised by Prof. Qingsong Xu, Professor of Department of Electromechanical Engineering and conducted in the Smart and Micro/Nano Systems Laboratory at the University of Macau. The work is jointly sponsored by the National Natural Science Foundation of China, the Science and Technology Development Fund of Macau, and the University of Macau. This award not only shows the profound strength of Faculty of Science and Technology in technological innovation and industrial application, but also demonstrates the outstanding contribution made by the University of Macau’s cutting-edge research in the field of automation to the upgrading of the robotics and health care industry in Macau and even internationally.
The IEEE International Conference on Development and Learning (ICDL) constitutes an important forum for robotics and intelligent computing society. Its goal is to investigate how biological agents take advantage of interaction with social and physical environments to improve the robotic and computing systems. IEEE ICDL 2023 was held in Macau, China. The first day was held in the E4 building of the University of Macau. Many famous scholars in the field of robotics around the world attended the conference and gave a speech at the University of Macau.
澳大博士生奪2023 IEEE發展與學習國際會議最佳會議論文獎
澳門大學科技學院機電工程系博士研究生李政陽近日參加在中國澳門特別行政區舉行的“IEEE國際發展與學習會議(IEEE International Conference on Development and Learning, ICDL 2023)”,獲得最佳會議論文獎。
IEEE國際發展與學習會議(ICDL)是IEEE機器人與自動化學會(IEEE Robotics and Automation Society, RAS)和IEEE計算智能學會(IEEE Computational Intelligence Society, CIS)的旗艦合辦會議。本屆ICDL 2023收到來自世界各國的130多篇論文。在經過嚴格的評比和競爭後,最終從提名入選者中選出了“最佳會議論文獎”和“最佳學生論文獎”等兩個獎項,授予會議中最好的兩篇論文,而獲得這兩個獎項的研究人員不到1%。
在決賽報告環節,李政陽同學代表課題組做了題為《多段導管機器人血管內介入的智能磁控與手術規劃》的報告。本研究提出了一種針對心血管治療的多段磁性軟導管機器人。該智慧控制框架將自我調整控制方法與術前手術規劃相結合,成功地在人體大小的動脈模型中實現了磁導管機器人的精准導航。它在臨床和培訓應用方面的新穎性和廣闊潛力得到了會議委員會的充分認可,並得到了機器人社區的廣泛關注。
這項研究由澳門大學機電工程系徐青松教授指導,並在澳門大學智能與微納系統實驗室完成。本研究由國家自然科學基金、澳門科學技術發展基金及澳門大學共同資助。該獎項不僅顯示了澳門大學科技學院在科技創新和產業應用方面的深厚實力,也彰顯了澳門大學在自動化領域的前沿研究對澳門乃至國際機器人和醫療健康產業升級所做出的傑出貢獻。
IEEE國際發展與學習會議(IEEE ICDL)是機器人與計算智能學會的重要論壇。它的目標是探討智慧生命體運用社會與環境交互來發展機器人與計算科學的基礎研究。本屆IEEE ICDL 2023在中國澳門特別行政區舉行,其第一天在澳門大學E4樓舉行。多位世界機器人領域的著名學者出席了會議,並在澳門大學發表演講。