Hong-Wei Xu
許汯洧
Ph.D. Student, Institute of Electrical and Computer Engineering, National Yang Ming Chiao Tung University. Research focus: multimodal AI, RGB-T sensing, thermal imaging calibration, edge AI, intelligent robotics, and health-aware AIoT systems.
國立陽明交通大學電機工程研究所博士生。研究主軸聚焦於多模態 AI、RGB-T 感測、熱影像量測校正、邊緣 AI、智慧機器人與健康感知型 AIoT 系統。
石黒研究室との接点
Japanese title with bilingual content for international academic communication.
標題採日文;內容提供中英雙語,供日本端研究室與中文申請資料使用。
2. Understanding of Ishiguro Laboratory and This Opportunity
I understand Ishiguro Laboratory not simply as a robotics laboratory, but as a research platform that investigates the future relationship between humans, robots, avatars, and society. Its work on humanoid robots, androids, avatars, social robots, multimodal interaction, generative AI, and large language models reflects a deeper research question: how intelligent machines can extend human presence, communication, social participation, and the understanding of what it means to be human.
From the laboratory introduction materials, Ishiguro Laboratory emphasizes advanced humanoid and android platforms, AI computing resources, international research collaboration, ATR-related research bases, and projects such as the Moonshot initiative for an Avatar-Symbiotic Society. The lab's recent direction also highlights multimodal integration, generative AI, large language models, social relationship modeling, embodiment, and intelligence. These topics are highly aligned with the future of human-centered robotics and AI.
For me, this opportunity is not only an overseas visit, but a research-oriented training experience that connects AI, humanoid robotics, human-robot interaction, healthcare assistance, and long-term international collaboration. The Moonshot project led by Prof. Hiroshi Ishiguro aims to realize an Avatar-Symbiotic Society where people can participate in social activities through cybernetic avatars beyond the limitations of time and space. This vision strongly connects with my interest in applying AI and robotics to healthcare, public safety, education, and social inclusion.
3. Motivation, Fit, and Expected Outcomes
My past research has focused on building deployable AI systems from sensing to implementation, including RGB-T multimodal sensing, thermal imaging calibration, embedded AI, public-health screening, biomedical detection, smart agriculture, and mobile robotic platforms. My previous proposal materials also position my research path around AI, computer vision, multimodal sensing, embedded systems, and robotic system integration. Therefore, I believe I am suitable for this opportunity because I can contribute a practical and research-driven perspective on how robots perceive humans and environments through multimodal sensing and edge intelligence.
My main motivation is to extend my previous work from perception-oriented AI systems toward more advanced human-robot interaction, social robotics, and embodied AI. In Ishiguro Laboratory, I hope to study how humanoid robots, androids, avatars, MLLMs, and VLA-related models can be integrated with real-world sensing systems. In return, I hope to contribute my experience in RGB-T perception, thermal calibration, multi-object tracking, embedded deployment, and health-related anomaly detection to possible research topics in healthcare-assistive robots, public-safety robots, and avatar-based remote interaction.
I also hope this opportunity can become a concrete starting point for my doctoral research. Possible outcomes include submissions to top-tier robotics or AI conferences such as IROS, ICRA, RSS, HRI, or AAAI, Q1 journal papers, patent applications, and system prototypes. In particular, the research direction may focus on multimodal robot perception, health-aware social robotics, RGB-T sensing for humanoid or service robots, and generative AI-based robot decision support.
After establishing a stronger research connection with Ishiguro Laboratory, I would also consider applying for the NSTC Graduate Student Study Abroad Program, commonly known as the Chien-Li-Ma Program, to further extend this opportunity into a longer-term international research collaboration. This would allow me to transform the initial exchange into sustained doctoral research, joint publications, patent development, and a stronger research bridge between NYCU BASIC Lab and Ishiguro Laboratory.
2. 對石黒研究室與本次圓夢機會的理解
我理解石黒研究室並非單純的機器人硬體實驗室,而是一個探討人類、機器人、Avatar 與未來社會關係的前瞻研究平台。其在人形機器人、Android、Avatar、社會型機器人、多模態互動、生成式 AI 與大型語言模型等方向的研究,實際上回應了一個更深層的問題:智慧機器如何延伸人的存在、溝通能力、社會參與,以及對「人是什麼」的理解。
從研究室介紹資料可見,石黒研究室重視先進人形機器人與 Android 平台、AI 運算資源、國際研究合作、ATR 相關研究據點,以及 Moonshot Avatar 共生社會等大型研究計畫。其近期研究方向亦涵蓋多模態整合、生成式 AI、大型語言模型、社會關係建模、具身性與智慧等主題,這些方向與未來以人為中心的智慧機器人與 AI 發展高度相關。
因此,我認為本次圓夢機會不只是海外參訪,而是一項高度研究導向的國際見習與訓練機會。它結合 AI、人形機器人、人機互動、健康輔助與國際合作,能讓參與者在真實研究環境中理解如何定義研究問題、整合跨域技術,並將成果推進至學術發表、專利或系統原型。石黒浩教授主持的 Moonshot 計畫目標,是透過 Cybernetic Avatars 實現 Avatar 共生社會,使人能突破時間與空間限制參與社會活動。這項願景與我希望將 AI 與機器人應用於健康輔助、公共安全、教育推廣與社會包容的方向高度一致。
3. 申請動機、適合原因與期待成果
我過去的研究重點,是從感測、AI 模型、嵌入式部署到系統落地,建立可實際運作的 AI 系統,包含 RGB-T 多模態感知、熱影像量測校正、邊緣 AI、公共衛生篩檢、生醫檢測、智慧農業與移動式機器人平台。過去申請資料中亦已將我的研究路徑定位於 AI、電腦視覺、多模態感知、嵌入式系統與機器人系統整合。因此,我不僅從演算法角度理解 AI,也具備將感知、辨識、決策與硬體平台整合為真實系統的經驗。我認為自己適合本計畫的關鍵,在於能從 多模態感知與邊緣智慧如何協助機器人理解人與環境這個角度,補充石黒研究室在人形機器人與社會型機器人上的研究脈絡。
我申請本次機會的主要動機,是希望將過去偏向感知與系統實作的 AI 研究,進一步推進到人機互動、社會型機器人與具身智慧研究。若能進入石黒研究室,我期待學習如何將人形機器人、Android、Avatar、MLLM 與 VLA 相關方法導入真實互動場景;同時,也希望將自身在 RGB-T 感知、熱影像校正、多目標追蹤、嵌入式部署與健康異常偵測上的經驗,延伸到健康輔助機器人、公共安全機器人與 Avatar 遠距互動等研究方向。
我也希望本次機會能成為博士研究的重要延伸。後續可能產出包含 投稿 IROS、ICRA、RSS、HRI 或 AAAI 等機器人與 AI 相關頂尖會議、Q1 期刊論文、專利申請,以及具體系統原型。研究方向可聚焦於多模態機器人感知、健康感知型社會機器人、RGB-T 感測導入人形或服務型機器人,以及結合生成式 AI 的機器人決策支援。
若本次見習能與石黒研究室建立更具體的研究連結,我也會考量後續申請國科會「補助博士生赴國外研究計畫」,也就是千里馬計畫,將短期圓夢機會延伸為更長期的國際研究合作。這將有助於把初步交流轉化為博士研究主軸、共同論文、專利布局與跨實驗室合作,並建立陽明交大 BASIC Lab 與石黒研究室之間更實質的研究橋接。
Selected Honors個人重要榮譽事蹟
Media Coverage專訪與媒體報導
Selected Publications and Patents代表性論文與專利
Representative works from international conferences, journals, domestic conferences, and patents.
節錄國際會議、期刊、國內研討會與專利之代表性成果。
Research Projects, Competitions, and Service研究計畫、競賽成果與社會服務
Condensed version for the website. Full evidence can be placed in a PDF supplement.
網站採精簡版;完整佐證資料可另以 PDF 附件補充。
NSTC and Major Research Projects國科會與大型研究計畫
- High-Performance Chip Development and Generative AI-Enhanced Multimodal Smart Sensing for Precision Detection of Swine Pathogens, NSTC, Aug. 2024–Present.
- Self-Propelled Robotic System with Pedestrian Detection and Body Temperature Measurement Based on Improved CNN and Multimodal Image Recognition, NSTC, Aug. 2024–Oct. 2025.
- Intelligent remote detector and diagnostic chair systems for ADHD-related auxiliary diagnosis, NSTC and KMU SPARK Program.
- Embedded epilepsy detection, cell counting, mask detection, smart water purifier monitoring, rehabilitation training devices, vision testing, and USR welfare product design.
- 晶創計畫:發展高效能晶片及生成式 AI 結合多重智慧感測以精準檢驗豬群病原,國科會,2024/8 至今。
- 基於改良型卷積神經網路與多模態影像辨識具行人檢測與體溫量測功能之自走機器人系統,國科會,2024/8–2025/10。
- ADHD 智慧遠距偵測器與智慧型診療椅系統,國科會與高雄醫學大學 SPARK 計畫。
- 其他計畫包含嵌入式癲癇偵測、細胞計數、口罩偵測、淨水器濾心監測、復健訓練裝置、視力檢測與 USR 福祉產品設計。
Competition Highlights競賽成果摘要
- 2026 AI Innovation Award: RGB-T intelligent safety patrol and response robot for low-light and smoky environments, Honorable Mention, award rate approximately 6–7%.
- 2026 AI Innovation Award: Smart early-disease warning platform for pigs with RGB-T multimodal monitoring, individual tracking, and epidemic prevention analysis, Honorable Mention, award rate approximately 6–7%.
- More than 40 competition records across AI, robotics, embedded systems, biomedical detection, and thermal imaging applications.
- 2026 智慧創新大賞:「低光與煙霧場域之 RGB-T 智慧安全巡檢與應變機器人」,佳作,得獎率約 6–7%。
- 2026 智慧創新大賞:「豬隻早期疾病智慧預警平台」,佳作,得獎率約 6–7%。
- 累積超過 40 場學術與創新競賽,領域橫跨 AI、機器人、嵌入式系統、生醫檢測與熱影像應用。
Teaching, Outreach, and Service教學、教育推廣與社會服務
- Developed and deployed eight COVID-19 thermal imaging screening systems for campus-wide pandemic prevention service at I-Shou University.
- AI Dream-Building Academy: Rural Smart Education Outreach Program under the 12th New Immigrants and Children Dream-Building Project.
- Mentored an NSTC Undergraduate Student Research Project on a mobile robotic arm system with thermal-sensing and multimodal imaging functions.
- NSTC Graduate Student International Conference Grant for IEEE IAS 2025, NT$25,000.
- COVID-19 期間建置 8 台熱像儀篩溫系統,支援義守大學全校防疫技術服務。
- 「AI 啟夢學堂-偏鄉智慧教育推廣計畫」,第 12 屆新住民及子女築夢計畫。
- 協助指導國科會大專學生研究計畫:「具熱感應多功能多模態影像的移動式機械手臂機器」。
- 獲國科會研究生國際會議補助,參與 IEEE IAS 2025,補助金額 NT$25,000。
Selected Evidence Photos代表性照片佐證
Two selected photos showing presidential recognition and public award moments. Replace or expand with more evidence images later.
放置總統教育獎頒獎與總統接見相關照片,後續可再擴充其他佐證圖片。