• Chih-Hung Gilbert Li

    李志鴻

     

    National Taipei University of Technology (Taipei Tech)

    國立臺北科技大學

    Graduate Institute of Manufacturing Technology

    製造科技研究所

    Industry 4.0 Laboratory

    工業4.0實驗室

  • Personal Information

    簡歷

    Education 學歷

    Ph.D. Carnegie Mellon University / Mechanical Engineering 1998

    卡內基梅隆大學機械工程博士

    M.S. Carnegie Mellon University / Mechanical Engineering 1995

    卡內基梅隆大學機械工程碩士

    B.S. National Tsing Hua University / Power Mechanical Engineering 1990

    國立清華大學動力機械工程學士

    Taipei Municipal Jianguo High School 1986

    台北市立建國中學

    Experience 經歷

    Professor / National Taipei University of Technology

    國立臺北科技大學教授

    Associate Dean / College of Mechanical and Electrical Engineering / National Taipei University of Technology

    國立台北科技大學機電學院副院長

    Chief Technology Officer / Shan Hai Recreation Limited Company

    山海休閒科技股份有限公司技術長

    Director / Office of International Affairs / Minghsin University of Science and Technology

    明新科技大學國際交流中心主任

    Director / Automated Vehicles and Equipment Development Center

    明新科技大學自動化載具與設備研發中心主任

    Chief Technology Officer / Lushridge Incorporated

    意璨精工股份有限公司技術長

    Engineering Specialist / Lord Corporation (USA)

    工程專家/美商羅德企業

  • Fields 領域

    務實 創新 合作 堅持

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    Research of Industry 4.0

    工業4.0應用研究

    Artificial Intelligence, intelligent vision, Cyber Physical System, Internet of Things, intelligent robots and vehicles

    人工智慧、智慧視覺、網宇實體系統、物聯網、智動化機器人及交通工具

    Industry 4.0 refers to a comprehensive range of technologies, including the Internet of Things, big data, cloud computing, artificial intelligence, and automation, that are revolutionizing various industries, particularly the manufacturing sector. This technological transformation is anticipated to considerably enhance production and management efficiency, as well as flexibility, and reshape existing commercial and industrial operating models. To support this development, we are committed to conducting systematic research and testing to propose innovative operating models and technologies. For instance, we are actively exploring the development of intelligent service robots, delivery robots, human-machine collaboration, and a variety of automated and intelligent systems. Our ultimate objective is to promote the advancement of technology for the betterment of human well-being in a professional and responsible manner.

     

    工業4.0涵蓋包括物聯網、大數據、雲端計算、人工智慧及自動化等一系列技術,正在革新各種產業,尤其是製造業。這場技術革命預計將顯著提高生產和管理效率,增強靈活性,並重塑現有的商業和工業運營模式。為了支持這種發展,我們致力於進行系統性的研究和測試,以提出創新的運營模式和技術。例如,我們正在積極探索智能服務機器人、配送機器人、人機協作以及各種自動化和智能系統的發展。我們的最終目標是以專業和負責任的方式促進技術的進步,造福人類的福祉。

     

    經濟日報報導: 華聯智科攜手北科大 開發AI自主平衡輪式機器人

     

    SELECTIVE PUBLICATIONS:

    JOURNAL

     

    CONFERENCE

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    Structural Stress Analysis (Finite Element Analysis) and Optimization

    結構應力分析(有限元素分析法)與最佳化

    Structural topology optimization, nonlinear stress and strain analysis, fatigue and fracture analysis

    結構拓樸最佳化、非線性應力與應變分析、疲勞與破裂分析

    We boast over 20 years of experience in finite element analysis. The expertise extends to a wide range of linear and nonlinear structural stress problems that we have skillfully tackled using cutting-edge finite element software like ANSYS. Our projects span from the simplest of models such as trusses and elastic structures to more complex ones, including huge composite structures, large deformation or high strain analysis, contact and friction analysis, plastic deformation analysis, fatigue and fracture analysis, and dynamic collision analysis. Furthermore, by leveraging ANSYS APDL, we can efficiently process and complete projects that require extensive finite element analyses. We also employ advanced design techniques, such as artificial intelligence algorithms and the Evolutionary Structural Optimization method, to obtain the topology optimization design of structures. Our commitment to professional excellence is reflected in the quality of our work and the satisfaction of our clients.

     

    我們在有限元分析方面擁有超過20年的豐富經驗。我們的專業知識廣泛涉及線性和非線性結構應力問題,利用最先進的有限元素軟體,如ANSYS,嫻熟地解決這些問題。項目範圍從最簡單的模型,如桁架和彈性結構,到更複雜的問題,包括巨大的複合結構、大變形或高應變分析、接觸和摩擦分析、塑性變形分析、疲勞和斷裂分析以及動態碰撞分析。此外,通過利用ANSYS APDL,我們可以高效處理和完成需要大量有限元素分析的項目。我們還運用先進的設計技術,如人工智能算法和進化結構優化(ESO)方法,獲得結構的拓撲優化設計。我們的專業卓越承載在我們工作的品質和客戶的滿意度中。

     

    SELECTIVE PUBLICATIONS:

    JOURNAL

    CONFERENCE

    • Chih-Hung G. Li, "Strength-based Evolutionary Structural Optimization," in Proc. 24th International Congress of Theoretical and Applied Mechanics, Montreal, Canada, 2016.
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    Development of Innovative Mechanisms

    創新機構開發設計

    Versatile grasping system, delivery robot, service robot, guitar robot, monorail system, mechanical damper, electromagnetic actuator, bus sliding door, vehicle suspension, retractable carriage, integrated music sounding teaching device, etc.

    多功能抓取系統、遞送機器人、服務機器人、吉他機器人、單軌電車系統、橡膠緩衝裝置、電磁致動裝置、巴士滑門、車輛懸吊結構、可伸縮之車廂機構、整合式音樂發聲教學裝置等等

    We are fully dedicated to inventing and designing patent-protected mechanisms that embody our commitment to innovation and excellence. We have collaborated on various industry-university research projects, including but not limited to, artificial intelligence applications, smart robots, intelligent automated transport systems, novel actuators, robot mechanisms, innovative shock absorbers, various mechanical structures, and equipment with special functions for vehicles. Our efforts have yielded over 20 domestic and international patents, many of which have been authorized and implemented in the industry. We take pride in our expertise, dedication, and our relentless pursuit of excellence in creating cutting-edge solutions for our clients.

     

    我們致力於發明和設計具有專利保護的機構,體現了我們對創新和卓越的承諾。我們在多個產業和大學合作的研究項目中進行了合作,包括但不限於人工智慧應用、智慧機器人、智慧自動化運輸系統、新型驅動器、機器人機構、創新減震器、各種機械結構和具有特殊功能的車輛設備等。我們的努力已經產生了20多項國內和國際專利,其中許多已經獲得授權並在業界得以實現。我們為自己的專業知識、奉獻精神和對卓越的不懈追求感到自豪,為客戶創造具前瞻性的解決方案。

     

    SELECTIVE PUBLICATIONS:

    JOURNAL

    CONFERENCE

  • Projects 實績

    各項產學合作研究、開發、分析計畫之成果

    Junior4: A Self-Balancing Two-Wheeled Robot Featuring Intelligent Navigation and Manipulation

    Junior4: 擁有智慧導航與操縱能力之自平衡雙輪機器人

    Research of Industry 4.0

    工業4.0應用研究

    Introducing the J4 series of self-balancing two-wheeled robots designed for service or delivery applications. These robots are equipped with exceptional features that make them highly versatile. Their compact footprint, high speed, tall stature, and effortless maneuverability make them ideal for indoor and outdoor use. The J4 models are capable of navigating through ramps or rugged terrain, and some feature five-axis manipulators, enabling them to automate tasks such as object picking, placing, and transportation.

    One of the key features of the J4 robot is its advanced autonomous navigation system. This system uses pure vision technology and comprises three critical subsystems: topology positioning, global positioning, and automatic driving. The topology positioning system allows the robot to accurately navigate indoor walkways with positioning accuracy of up to 10 cm, without the need for any external signs or facilities. The automatic driving system enables the J4 robot to navigate autonomously through both indoor and outdoor environments, utilizing real-time AI visual recognition to avoid obstacles and determine the appropriate action to take.

    The J4 robot also utilizes the Cyber Physical System design concept, integrating multiple intelligent and control units, as well as higher-level external management systems such as MES and ERP. In indoor environments, the robot uses topological positioning and visual driving for swift navigation, while in outdoor environments, it combines global positioning and visual driving to achieve map-free exploratory navigation. Overall, the J4 robot's highly sophisticated and advanced autonomous navigation system provides users with flexibility and versatility in various settings.

     

    介紹J4系列自平衡雙輪機器人,專為服務或遞送應用而設計。這些機器人配備了卓越的功能,使它們極具多樣性。它們的緊湊足跡、高速度、高體型和機動性,使它們非常適合室內和室外使用。J4機器人能夠穿越坡道或崎嶇地形,並且有些型號配備有五軸機器手臂,使它們能夠執行自動化物體撿取、放置和運輸等任務。

    J4機器人的關鍵功能之一是其先進的自主導航系統。該系統採用純視覺技術,由三個關鍵子系統組成:拓撲定位、全球定位和自動駕駛。拓撲定位系統使機器人能夠在室內走道環境中精確導航,定位精度可達10厘米,而無需藉助任何外部標誌或設施。自動駕駛系統使J4機器人能夠在室內和室外環境中自主導航,利用實時AI視覺識別來避開障礙物並確定適當的動作。

    J4機器人還採用了網宇實體系統(CPS)的設計概念,整合多個智慧和控制單元,以及更高級別的外部管理系統,如MES和ERP。在室內環境中,機器人使用拓撲定位和視覺駕駛進行快速導航,而在室外環境中,它結合全球定位和視覺駕駛以實現無地圖的探索導航。總的來說,J4機器人的高度複雜和先進的自主導航系統為用戶在各種環境下提供了靈活性和多樣性。

     

    REFERENCE & VIDEOS

    An Innovative Grasping System Featuring Versatility, Safety, and Automation

    具有多功能性、安全性和自動化的創新抓取系統

    Research of Industry 4.0

    工業4.0應用研究

    Introducing our innovative grasping system for pick-and-place applications. Our system boasts the capability of handling a wide range of objects with varying characteristics, including size, shape, weight, rigidity, and fragility. The four-finger design enables multiple grasping modes, such as inner and outer gripping, suction, and pinch-gripping. Furthermore, we have developed an end-to-end grasping policymaker that uses depth vision to determine the most suitable grasping mode and finger trajectory. Through extensive experimentation, we have demonstrated that our system delivers state-of-the-art performance and exceptional versatility.

     

    介紹我們的創新抓取系統,專為各種物件的拾取和放置而設計。我們的系統具有處理各種物體特性的能力,包括大小、形狀、重量、剛性和易碎性。四指的設計可以實現多種抓握模式,如內握、外握、吸取和捏握。此外,我們還開發了一個端到端的抓握策略制定器,使用深度視覺來確定最適合的抓握模式和手指軌跡。通過廣泛的實驗,我們證明了我們的系統提供了最先進的性能和出色的靈活性。

     

    REFERENCE & VIDEOS  

    Illumination-Robust Visual Positioning for Industrial Applications

    工業級光影強固視覺定位

    Deep Learning Application

    深度學習應用研究

    We present an automated visual positioning system for industrial applications, specifically designed for precision placement of workpieces and automatic control of manipulators. The system comprises a low-resolution RGB camera mounted on the end effector of the manipulator and a Convolutional Neural Network (ConvNet) used to detect the relative position of the target object based on holistic views. To train the ConvNet, images generated automatically from basis images captured at the target position are annotated with the 3D coordinates of the offset locations. Our system's superior visual recognition capability yields a high success rate of coordinate detection, even under high illumination and viewpoint variations.

    Experimental evidence demonstrates that the proposed system achieves remarkable accuracy in workpiece placement tasks. Specifically, the low-resolution camera (640 × 480 pixels) can achieve, but is not limited to, a translational precision of ±0.2 mm, and the binocular system can control rotational error within ± 0.1°. Within the 20 × 20 mm^2 spatial tolerance of the mobile platform, the proposed system attains a success rate of 100% in 200 workpiece placement tasks.

    The latest generation of our system, UniShot, features a deep comparison neural network design that offers universal application capability, without requiring scene-specific training. UniShot can predict precision 3D coordinates given a basis view of the application field. The new system also offers immunity to high illumination interferences. The ConvNet model is trained with illumination data, resulting in robust detection results under various lighting conditions, including environmental and self-shadows and strong lighting.

     

    我們提出一種自動化的視覺定位系統,專門用於工業應用中的工件精準定位和機械手臂的自動控制。該系統由一個安裝在機械手臂端效器上的低分辨率RGB相機和一個卷積神經網絡(ConvNet)組成,用以檢測基於整體視圖的目標對象的相對位置。為了訓練ConvNet,從目標位置自動生成的圖像會被標註偏移位置的3D座標。我們的系統具有卓越的視覺識別能力,即使在高照明和視角變化的情況下,也能獲得高的座標檢測成功率。

    實驗結果顯示,該系統在工件定位任務中獲得了工業級的精度。具體來說,低分辨率相機(640×480像素)可以實現但不限於±0.2毫米的平移精度,雙目系統可以控制±0.1°的旋轉誤差。在移動機器人的20×20毫米^2空間誤差範圍內,本系統在200個工件放置任務中實現了100%的成功率。

    我們最新一代的系統UniShot,採用深度比較神經網路的設計,具有通用的應用能力,不再需要特定場景的訓練。UniShot可以在給定應用場景基礎視圖的情況下,預測精準的3D坐標。新系統還具有抗高照明干擾的能力。ConvNet模型經過照明數據訓練後,能夠在各種包括環境和自身陰影以及強照明下,獲得強健的檢測結果。

     

    REFERENCE & VIDEOS  

    Design and Implementation of Multi-parameter Wireless Control of Mobile Robots based on LoRa

    以LoRa設計並實現運動機器人之多參數無線控制系統

    Research of Industry 4.0

    工業4.0應用研究

    In the era of Industry 4.0, providing efficient and reliable real-time control of mobile equipment through wireless networks is crucial. However, creating a suitable wireless network design for indoor environments can be challenging due to the complexity of signal quality and transmission performance. By investigating the indoor performance of LoRa (Long Range), we proposed an integral model that evaluates the relationship between Received Signal Strength Indication (RSSI) and various indoor features such as corridor distance, number of corners, and floor differences. We also discuss network topologies that involve multiple relay nodes, which can be used for long-distance cases where direct transmission is not feasible. To evaluate the effectiveness of our proposed method, we installed this system on the J4 mobile robot and conducted field tests in an eight-story office building. The results of the experiment showed that the LoRa network designed based on the integral model can meet the demands for real-time multi-parameter controls, and our system provided reliable remote control of the robot from the basement to every end of the corridor on every floor. This study contributes to the development of wireless control systems that can operate in indoor environments with various features, providing a practical signal quality and transmission performance model for system developers. The proposed model and method can aid in the efficient design of LoRa networks for real-time control of mobile equipment in indoor environments.

     

    在工業4.0時代,提供高效且可靠的移動設備實時控制的無線網路至關重要。然而,由於訊號品質和傳輸性能的複雜性,為室內環境創建適合的無線網路設計具有極大的挑戰性。我們藉由研究LoRa在室內的性能,提出了一個綜合模型,評估了接收訊號強度指示(RSSI)與走廊距離、轉角數量和樓層差異等各種室內特徵的關係。我們還討論了涉及多個中繼節點的網路拓撲架構,在直接傳輸不可行的長距離情況下可以使用。為了評估我們提出的方法的有效性,我們將此系統裝設在J4移動機器人上,並在一個八層辦公大樓中進行了現場測試。該實驗結果顯示,基於綜合模型設計的LoRa網路可以滿足實時多參數控制的需求,且我們的系統從地下室到每層的每個走廊末端都提供了可靠的遠程控制。本研究結果對開發在具有各種特徵的室內環境中運行的無線控制系統做出了貢獻,為系統開發人員提供了實用的訊號品質和傳輸性能模型。提出的模型和方法可以幫助高效地設計LoRa網路,實現對室內移動設備的實時控制。

     

    REFERENCE & VIDEOS  

    Holistic-view Deep Learning for Automatic Windshield Wiper Activation

    雨刷自動控制之全景深度學習

    Deep Learning Application

    深度學習應用研究

    A windshield rain detection system using holistic-view deep learning is constructed in this project. A wiper control algorithm based on a time-series treatment is also presented. The video images of ordinary driving recorders were used to train a deep convolutional neural network for wiper activation classification. Overall, we achieved an average precision rate of 0.88 in our video-based rain detection experiments; our recall rate of 0.87 is significantly higher than the state-of-the-arts that averaged around 0.6. It is also proved that the proposed system is practical for real-time vehicle windshield rain detection and wiper control. In this film, a blue square indicates that our detection system recommends that the wiper should activate, and a yellow circle indicates it should not.

     

    在本專案中我們構建了採用整體視覺深度學習的擋風玻璃雨水探測系統,還提出了一種基於時間序列處理的雨刷控制算法。我們使用普通行車記錄儀的視頻圖像以訓練深度卷積神經網絡,以進行雨刷啟動分類。總體而言,我們在基於視頻的雨水檢測實驗中實現了0.88的平均精確率; 我們的召回率達到0.87,亦明顯高於平均約為0.6的現有一般水平。我們所提出的系統亦證明了實時車輛擋風玻璃雨水檢測和雨刷控制是可行的。在此影片中,藍色方塊表示我們的偵測系統建議雨刷應作動,而黃色圓圈表示雨刷不應作動。

     

    REFERENCE & VIDEOS

    • Chih-Hung G. Li*, Kuei-Wen Chen, Chi-Cheng Lai, and Yu-Tang Hwang, “Real-time rain detection and wiper control employing embedded deep learning,” IEEE Transactions on Vehicular Technology, vol. 70, no. 4, pp. 3256-3266, 2021.
    • Chi-Cheng Lai, Chih-Hung G. Li*, "Video-Based Windshield Rain Detection and Wiper Control Using Holistic-View Deep Learning," in Proc. 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE 2019) Vancouver, BC, Canada.

    Development of Intelligent and Automated Personal Rapid Transit (PRT)

    智動化個人捷運系統開發

    Leisure Technology Cooperation Development Project

    休閒科技合作開發案

    In the blueprint of modern leisure communities, the goal of achieving an absolute leisurely lifestyle is realized by integrating relevant services, network communication, transportation, commerce, logistics, intelligence, and automation concepts and technologies. The most special feature of this community plan is that a single-track personal rapid transit system will shoulder the transportation needs of the entire leisure community. The Internet of Things will become the eyes and ears of the area, connecting the various nerve centers that sense the pulse of the community. Big data will become a treasure trove of information and messaging, serving as the basis for many rational judgments in daily life and business activities. Artificial intelligence will serve as the brain of the community, managing the daily affairs of the community automatically and accurately. These technologies will tangibly realize and activate the wisdom and automation of the overall flow of people, goods, business, and information, enabling the concept of an absolute leisure community lifestyle to be realized.

    In this development project, the team designed the body structure, power system, control system, and electromechanical configuration of the single-track tram from scratch. They also developed the world's first patented rapid track changing system for single-track vehicles, allowing each vehicle to pass through the track-changing point in ten seconds without waiting. The driving and track system can adapt to undulating terrain, making it particularly suitable for use as a transportation system in mountainous conservation areas. The lightweight elevated single-track system minimizes environmental damage and provides passengers with a comfortable experience close to nature.

     

    現代休閒社區的生活藍圖中,藉由整合相關的服務、網通、運輸、商業、物流、智慧與自動化等理念與科技,得以實現絕對休閒生活的目標。其中最為特別的是,在此社區規劃中,單軌個人捷運將肩負起整個休閒社區的運輸動靜脈。物聯網將成為各地的眼耳,串聯起感應各個脈動的神經。大數據將成為資料與訊息的寶庫,成為許多生活或商業活動理性判斷的基礎。而人工智慧則是社區的大腦,自動無誤地管理社區內日常生活的大小事。這些科技將具體實現並活絡整體的人流、物流、商流、與資訊流之智慧自動化,使得絕對休閒社區生活的理念得以實現。

    在本開發案中,團隊從零開始,設計了單軌電車的車體架構、動力系統、控制系統、與機電配置等,並開發了世界第一套專利的單軌車快速換軌系統,各車可以在十秒鐘之內接連通過換軌點而不需等待。驅動與軌道系統並可適應高低起伏的地形,特別適合應用於山林保護區的代步系統。輕量化的高架單軌系統最大限度地降低對環境的破壞,並可提供乘坐者接近大自然的舒適體驗。

     

    REFERENCE & VIDEOS

    Innovative Soft Actuator

    創新軟致動器

    Fundamental Component Development Plan

    基礎元件開發計畫

    Through this research project, we have made significant strides in the development of an innovative electromagnetic actuator that possesses a unique combination of desirable qualities. Our design incorporates features such as low noise emission, gentle operation, uncomplicated structure, moderate power consumption, effortless controllability, and economical cost-effectiveness, making it an ideal solution for a wide range of applications. Specifically, it is particularly suited for use in robotic systems and automated machinery that require superior quietness or human-machine interaction.

    The actuator's specially designed tapered elastomer is a key component that exhibits a highly nonlinear elastic response, enabling the actuator to achieve force equilibrium with the highly nonlinear electromagnetic force at various displacements and voltages. Notably, the actuator's input voltage is linearly proportional to the output displacement, which facilitates uncomplicated motion control using a simple open circuit. Ultimately, our innovative electromagnetic actuator shows great promise for practical applications in various fields. The soft actuator has demonstrated significant success in practical applications, such as in a guitar-playing robot and a versatile grasping system.

     

    透過這個研究專案,我們在開發具有獨特優良特性的創新電磁致動器方面取得了重要進展。我們的設計結合了低噪音、平穩操作、結構簡單、能耗溫和、易於控制和經濟實惠等特點,使其成為廣泛應用的理想解決方案。特別是在需要優越安靜性或人機互動的機器人系統和自動化機械中,它表現出特別的優勢。

    為本致動器專門設計的錐形彈性體是主要關鍵組件之一,其具有高度非線性的彈性響應,使致動器在不同的位移和電壓下能夠實現與高度非線性電磁力的力平衡。值得關注的是,本致動器的輸入電壓與輸出位移成線性正比關係,這有助於通過簡單的開路控制即可實現簡單的運動控制。最終,我們的創新電磁致動器在各個領域都有很大的應用前景。此軟致動器已在吉他演奏機器人和多功能抓握系統等實際應用中取得了顯著的成功。

     

    REFERENCE & VIDEOS

    • Tung-Ying Ku, Antonio P. Doroliat, and Chih-Hung G. Li*, “A Versatile Object Pick-Up System Featuring Grip-Suction-Pinch Design Integration and Depth Vision Automation,” in Proc. 2022 IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), 2022/07/9-11, Guilin, China, pp. 290-295.
    • Chih-Hung G. Li*, Ming-Chang Lin, Basil A. Bautista, and Bettina E. To, "A Low-Noise Guitar Robot Featuring a New Class of Silent Actuators," IEEE ASME Transactions on Mechatronics (SCI), 2019.
    • C. G. Li and H. P. Nguyen, “Development of a linearly responsive electromagnetic actuator,” presented at Int. Conf. Computer Science, Data Mining & Mechanical Eng., Bangkok, Thailand, Apr. 20–21, 2015.

    Quiet Guitar Robot

    靜音吉他機器人

    Automation Equipment Research Project

    自動化設備研究計畫

    To address the issue of noise often encountered in robotics and automation systems, an advanced silent electromagnetic actuator was developed. This innovative actuator not only offers silent linear actuation but also enables easy control of linear voltage response. As part of this project, a guitar robot was designed and constructed, and experimental results demonstrate that the mechanical noise generated by the robot is significantly lower than that produced by conventional actuators such as pneumatic cylinders, servo motors, stepping motors, and solenoids. The noise level of the guitar robot is, in fact, lower than that of the guitar's own sound, ensuring that the music can be produced without any interference.

     

    為了解決機器人和自動化系統中常見的噪音問題,我們開發了一種先進的靜音電磁致動器。這種創新型執行器不僅提供了安靜的線性致動,還可以輕鬆控制線性電壓響應。在此項目中,我們設計和構建了一台吉他機器人,實驗結果顯示,機器人產生的機械噪音明顯低於氣動缸、伺服馬達、步進馬達、電磁鐵等常規致動器產生的噪音。事實上,吉他機器人的噪音水平甚至比吉他本身的聲音還要低,因此得以展現出純淨之樂音。

     

    REFERENCE & VIDEOS

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    Design Optimization for Monorail Chassis Structure

    單軌車架結構最佳化設計

    Leisure Technology Cooperation Development Project

    休閒科技合作開發案

    This project applied the Evolutionary Structural Optimization (ESO) analysis technique to optimize the design of a monorail car frame. First, the design envelop of the frame was set, and then the ESO analysis technique was used to progressively remove less important materials and refine the frame structure to the optimal design. As the frame inevitably experiences dynamic loads such as acceleration, deceleration, and turning during vehicle operation, this project specifically focused on reflecting all complex dynamic loads in the calculation to obtain a comprehensive optimized design that can withstand all these loads. This design effectively reduces the weight of the vehicle body and saves a significant amount of energy consumed during vehicle operation, making it a demonstration design for environmental protection and energy saving.

     

    本案應用進化式結構最佳化(ESO)分析技術,對單軌車架進行最佳化設計。首先規劃出車架設計範圍,再運用進化式結構最佳化分析的精神,逐一去除較不重要的材料,而精煉成型出最佳之車架結構設計。由於車架在車輛運行中,無可避免會經歷加減速及左右轉等動態負載,因此本計畫特地著重於在計算中,反映出所有複雜的動態負載,以獲得可承受所有這些負載的綜合最佳化設計。此設計有效減低車體重量,大量節省車輛運行所耗費的能量,成為環保節能的示範設計。

     

    REFERENCE & VIDEOS

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    Analysis and Testing of Huge Equipment in Amusement Parks

    大型遊戲設備測試與分析

    Industry-University Coorperation Project

    產學合作案

    • Representative Work 1: This project conducted high-speed wind tunnel tests on a model of a Ferris wheel, measuring the model's force under various wind speeds to predict whether the real 120-meter Ferris wheel can withstand the predetermined wind force. A 1/200 scale model of the Ferris wheel was created in the laboratory and subjected to testing in the wind tunnel, and the force that the actual Ferris wheel may be able to withstand was inferred through similarity theory. Finally, finite element analysis was used to estimate the stress level that the main structure of the Ferris wheel may bear under various wind speeds, and to confirm the strength of the main structure.
    • Representative Work 2: The super-sized gaming device - flight simulation platform has six degrees of freedom and over 300 extreme operating conditions, and its structure is very complex. Therefore, the stress and fatigue analysis of various parts are quite challenging. In this project, a model with 17 million elements was constructed using finite element analysis software, and the analysis was completed in a short time through a self-developed automated analysis program.

     

    • 代表作品1:本案對摩天輪模型進行高速風洞測試,量測模型在各級風速下之受力,以預測真實的120米摩天輪是否能承受預定之風力。本實驗室製作一座二百分之一的摩天輪模型置於風洞中接受試驗,並透過相似性理論推測出實體摩天輪所可能承受之力量。最後用有限元素分析估算在各級風力下摩天輪主結構所承受之應力程度,並確認摩天輪主結構之強度。
    • 代表作品2:超大型遊戲設備飛行平台具有六軸自由度,且極限操作項目達三百餘種,再加上其架構非常複雜,因此各部位結構之應力與疲勞分析難度相當高。本專案以有限元素分析軟體建構擁有一千七百萬元素之模型,並透過自行撰寫之分析自動化程式,使得本分析得以在短時間內完成。
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    Patented Vehicle Suspension Strut Featuring Constant Frequency

    專利車用定頻懸吊柱

    Leisure Technology Cooperation Development Project

    休閒科技合作開發案

    In order to meet the demand for lightweight personal monorail transits and to enhance the comfort of the ride, this project was established to develop a suspension strut that can automatically maintain a comfortable bouncing frequency regardless of passenger numbers and load. Instead of traditional metal spring design, this design utilizes the highly non-linear characteristics of elastic bodies and successfully designs a suspension strut with high elasticity variability through large deformation and contact finite element analysis. Through prototype making and testing, the pre-determined performance has been verified. Therefore, even if the vehicle body weight is extremely low and regardless of the load, the vehicle can adaptively maintain a comfortable bouncing frequency during operation.

     

    為了符合單軌個人捷運電車輕量化的需求,並提升乘坐的舒適度,特別成立本計畫,以開發一款不受乘客人數與載重影響,而能自動維持在舒適彈跳頻率的懸吊柱。捨棄傳統金屬彈簧的設計,本設計採用彈性體高度非線性的特性,利用大變形與接觸有限元素分析,成功地設計出具有高度彈性變異性的懸吊柱。並透過原型製作與測試,驗證所預定的性能。因此,即便車體淨重極低,而不論載重多少,車輛運行時都可自適應地維持在舒適的彈跳頻率。

     

    REFERENCE & VIDEOS

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    Fatigue Analysis of High Speed Pump Shaft

    高速幫浦轉軸疲勞分析

    Industry-University Coorperation Project

    產學合作案

    This analysis project uses the finite element analysis method to investigate the impact of a series of shaft shape correspondences on stress distribution and conduct fatigue analysis accordingly. The fatigue analysis not only confirms the location of fatigue fracture but also provides suggested geometric shape improvement plans to help the cooperating manufacturer clarify the problems and make improvements.

     

    本分析專案使用有限元素分析法,進行一系列轉軸外型對應力分佈影響之探討,並據以進行疲勞分析。該疲勞分析不僅證實疲勞破裂的產生位置,並提供了後續幾何外型改善的建議方案,幫助合作廠商釐清與改善問題。

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    Patented Retractable Carriage Design

    專利車廂伸縮機構

    Industry-University Coorperation Project

    產學合作案

    To meet the design requirements of the expandable carriages from our client, we focused on developing a mechanism that ensures a flat and level floor without gaps when the carriage is fully extended, and efficient storage of the floor when the carriage is retracted. The strength and deformation of the supporting structure, as well as all related components, were verified through finite element analysis and theoretical calculations. The outcome has been granted patent protection and licensed for manufacturing to the client.

     

    為了滿足本案業主對伸縮車廂的設計需求,在該伸縮車廂的機構開發中,特別著重於伸縮車廂展開後,地板的平整無落差,以及收縮後,地板的有效收納。伸縮車廂結構與支撐結構,以及所有相關零組件的強度與可能變形,亦透過有限元素分析法及理論公式的計算與分析加以驗證。該成果已獲得專利保護,並技術授權予業主製造。

     

    REFERENCE & VIDEOS 

    • 中華民國新型專利 / 可伸縮之車廂機構 / 發明人李志鴻 / 2015 / M496590
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    Patented bus slide door

    專利巴士滑門開發

    Industry-University Coorperation Project

    產學合作案

    This development project conducted a safety review of the bus door opening and closing mechanism and concluded that the tight sliding method is the safest design. Based on this, the project carried out structural improvements to the bus door by using sliding tracks and linkages to establish a tight sliding motion and placing the power transmission mechanism in the available space behind the door. The project received research grants from the Ministry of Science and Technology for industry-university collaboration. The project has obtained patents from multiple countries including the United States and Taiwan and has been licensed to collaborative partners for production and sales.

     

    本開發案針對巴士門的開關方式進行安全檢討,並獲得緊貼平移為最安全設計的結論。在此基礎上,本案對巴士門進行結構改善設計,除了利用滑軌與連桿建立緊貼平移的運動方式,並將動力傳動機構放置於門後之可利用空間內。該計畫獲得科技部產學合作研究補助。本案獲得美國及台灣在內之多國專利,並已技術授權予合作業者進行生產與銷售。

     

    REFERENCE & VIDEOS

    • 美國發明專利 / Longitudinal-Slide Door Controlling Mechanism /發明人Chih-Hung Li / 2012 / US 8292349
    • 中華民國新型專利 / 巴士之橫移式門體連動機構 / 發明人李志鴻 / 2011 / M418828
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    Patented lub-rubber dampers

    專利橡潤式緩衝棒開發

    Collaborative Development of Professional Slide Track and Hinge Manufacturing

    專業滑軌與鉸練製造合作開發

    The buffer for cabinet doors often uses the principle of hydraulic design for buffer rods, and many internationally renowned hardware manufacturers supply similar products. However, hydraulic designs often encounter oil leakage problems, which can cause trouble and may contaminate the home environment. Based on the idea of eliminating this oil leakage problem, this project has developed a patented rubber-lubricated buffer rod and obtained patents in multiple countries including the United States, mainland China, and Taiwan. Since the buffer mechanism comes from lubricated rubber instead of hydraulic pressure, it completely eliminates the problem of oil leakage. In the development process, this project extensively used finite element analysis to calculate relevant data precisely by analyzing the contact pressure and deformation of rubber parts, using non-linear material models and non-linear solution processes. The durability performance of the physical model was tested to confirm the practicality of this product. Some product designs have already been licensed to related manufacturers for mass production and sales. 

     

    櫃門的緩衝多半運用油壓的原理設計緩衝棒。多家國際知名五金製造商均有供應類似產品。然而油壓式的設計經常遭遇漏油的問題,並可能汙染居家環境造成困擾。基於除去此漏油問題的理念,本專案開發了專利的橡膠潤滑式緩衝棒,並取得包含美國、大陸、台灣等多國專利。由於緩衝機制來自於潤滑的橡膠而非油壓,因此完全除去漏油的問題。在開發過程中,本案大量運用有限元素分析橡膠件的接觸壓力與變形,使用非線性材料模式與非線性求解過程,以精確計算出相關數據,並透過實體模型之耐久性能測試,證實此產品之實用性。部分產品設計已技術授權予相關廠商進行量產銷售。

     

    REFERENCE & VIDEOS

    • 美國發明專利 / Cabinet Door Buffer Bar / 發明人Chih-Hung Li / US 7076834
    • 中華民國發明專利 / 緩衝棒 / 發明人李志鴻 / 2003 / 538202
    • 中華民國發明專利 / 櫃門緩衝棒 / 發明人李志鴻 / 2004 / I225533
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    活動翦影

  • For prospective graduate students

    欲加入本實驗室之研究生請看這裏

    1

    Contact

    We welcome motivated prospective graduate students to join us every year. However, due to the capacity of the laboratory, only the most qualified can be admitted. Therefore, I suggest that anyone who is interested should act as soon as possible after receiving the formal admission notification from the graduate institutes of mechatronic engineering or manufacturing technology, by sending me an email to schedule an interview. For information on the laboratory, please refer to our website.

    2

    Interview

    Prospective graduate students will be interviewed individually or in groups. Candidates are encouraged to bring along documents or certificates that demonstrate their professional capabilities. However, those who exhibit the following characteristics are more likely to be admitted into the lab: 1) Strong verbal and written communication skills in Mandarin and English, 2) Enthusiasm for learning new things, 3) A passion for hands-on work such as machine assembly or computer programming, and 4) Impeccable professional ethics.  

    3

    Announcement

    After the interview, the announcement of acceptance will be made via email. Those who are admitted will be asked to make a final decision on joining the lab promptly. If a candidate chooses to decline the opportunity, it will be reserved for the next round of selection. There may be multiple rounds of selection before the quota is filled. Please note that financial support is not guaranteed and only provided when available at the time of admission. International students are advised to refer to the office of international affairs for information on grants and scholarships.

  • Contact

    聯繫我們

    Welcome to contact us regarding your need for collaborative R&D or engineering service.

    歡迎您與我們聯繫任何產學合作或工程服務的需求。

    實驗室網址:http://site-1287590-1324-5334.strikingly.com/

    台北市忠孝東路三段一號 綜科館714-2室
    +886-2-2771-2171 ext. 2092