廣東以色列理工學院畢業生：機器人玩家，耶魯offer再+1

2026年，廣東以色列理工學院第六屆本科畢業生即將揚帆遠航，攜母校賦予的學識與膽識，秉承 “實干圓夢” 的信念，將青春的印記鐫刻于一次次求索與突破之中。讓我們共同走進廣以2026屆學子們關于成長、選擇與超越的青春故事，見證他們如何以行動為翼，飛向屬于自己的璀璨征途。

姓名：張楚涵

畢業高中：福州第八中學

本科專業：機械工程與機器人

獲得獎項：

GTIIT Dean’s List Academic Scholarship

錄取院校：

耶魯大學（機械工程）

密歇根大學安娜堡分校（機械工程）

約翰斯·霍普金斯大學（機械工程&機器人）

香港大學（機械工程）

香港中文大學（機械與自動化工程）

疫情期間，廣以自主招生通道的開啟，改變了楚涵原本去加拿大讀書的計劃。進入這所理工科國際化大學后，他自中學競賽期間就埋下的實體機器人夢想，也在這里扎下了根。

靜心、學透、筑牢知識網

“我很喜歡‘玩’實體機器人，它能把你的想法從思考變成仿真，并且部署，一步步實現。”入學初期與所在專業劉鳴藝教授的一次交談，讓楚涵很快明白了一件事——做大學層級的科研，不只是“做出一個機器人就好”。它需要扎實的學科功底，需要廣讀論文找到差異化，才能將“從思考到部署”的閉環真正跑通。

楚涵個人網站里的參賽履歷

大一大二，他沉下心來，把絕大部分精力投入到基礎課程中，而廣以獨特的課程設置，恰好成為他筑牢根基、完善知識體系的最佳土壤。“廣以很少有靠一次期末考試就能拿滿分的課。”他解釋，“大部分課程都有平時作業、實驗、課堂項目設計、課堂表現等占比——學習是連續的，不是考前突擊一兩周。”

專業海報展

為盡快融入全英教學，他大一期間選修了科技英語溝通等互動性強、專業度高的英語課，全力投入每一次上臺匯報。在Connie老師的課上，他系統習得了英語的思維與技法，也在她親切幽默的教學風格中感知這門語言的魅力。

與Connie合照

面對挑戰最大的“代數拓展”課，他摸索出一套“通關三部曲”：先和同學討論作業、理清思路；再從 YouTube 上找補充講座，借其他老師的講解“吃透”疑點；最難啃的部分，則留給更具針對性的office hours。“和教授討論時，不是只問‘這題怎么做’，而是問‘這個定義為什么要這樣建立、它和前面哪部分內容連在一起’。”

在這種以點帶面、尋根問底的思維訓練下，難題迎刃而解。“突破的關鍵，其實不是突然‘會做題了’，而是開始把知識點串聯起來——當抽象概念能和前面學的線性代數、證明思路連上時，這門課就沒那么難了。”

跟學、復現、跑通全鏈路

進入大二，楚涵加入劉鳴藝教授的課題組，研究通過能量回收提升腿式機器人行走的效率和穩定性。

研究串聯起課堂上的力學知識，也讓他得以從一個結構清晰的行走機器人模型入手，完整走完建模—仿真—設計—實驗的流程。“這個項目讓我體會到，機器人研究可以從理解運動本質開始，而不是一開始就做特別復雜的系統。”

調試機器人

師友相助的實驗室時光常讓他倍感幸運。“劉教授和組里的學長并不是直接丟給我一個很難的課題，而是先給我一些已經跑通、有成功結果的代碼和文件，讓我先自學、復現，把建模、仿真和實驗流程摸清楚，打好基礎后再分工配合，在不影響彼此進度的前提下一起推進項目。”

先引導入門，再逐步放手，給方向，更給耐心，這種對本科生友好的科研方式，讓楚涵穩步從“會上課”走到“會做研究”。隨著知識地基打牢，他在大三暑期申請加入香港中文大學（CUHK）擔任研究助理，參與跳躍機器人項目的3D跳躍運動研究，延續至今。

“工作不只有硬件，也有控制算法。我一方面負責3-RSR并聯腿的硬件集成和嵌入式開發，一方面參與分層控制框架的設計與實現。” 憑借這段經歷，他第一次跑通了跳躍機器人從算法、嵌入式到實驗驗證的整個鏈路，用實打實的經驗壘起完整的機器人研發地圖。

項目最終在戶外實現了連續的三維跳躍，在較大擾動下也能較快恢復平衡，相關論文已被自動化領域的頂級國際會議IEEE CASE 2026接收，目前正在往強化學習多模態方向推進。

與劉鳴藝教授合照

“整個大學生涯我都在找與實體機器人相關的機會。”學業之外，他還與多位同學創立了廣以首支學生機器人團隊“工夫戰隊”，并一舉拿下RoboMaster 2025機甲大師高校聯盟賽（福建站）步兵對抗賽二等獎。“除了將課程知識用入現實，我也在其中學習了如何構建高效的團隊協作流程，以及如何與制造商進行有效對接。”

RoboMaster 2025機甲大師高校聯盟賽廣以隊

左一為楚涵

憑借四年積累的扎實履歷 ，楚涵全程自主申請，拿下了耶魯大學，香港大學，約翰斯·霍普金斯大學等頂尖學府offer，年少的夢想在合適的專業土壤里不斷生長，帶領他走向更大天地。

而在他之前，廣以首屆機械工程與機器人專業的學長學姐們，就已經用實力定義了這片土壤的培養力——超53%獲全球前10強高校錄取，超80%獲全球前30強高校錄取。越來越多的學子從這里出發，將個人熱愛嵌入國家制造強國戰略的齒輪，學有所長，學有所用，陸續成長為中國機器人產業鮮活而強勁的“底層驅動”。

Graduates

In 2026, the sixth cohort of undergraduate graduates from Guangdong Technion – Israel Institute of Technology (GTIIT) is ready to set sail. Armed with the knowledge and courage bestowed by their alma mater, and guided by the belief of "Dream it. Do it.", they have etched their youth in constant exploration and breakthrough. Let us step into their stories, and witness how they take action as wings to wider skies.

Name: Zhang Chuhan

High School: Fuzhou No.8 High School

Program: Mechanical Engineering and Robotics (MER)

Awards:

GTIIT Dean's List Academic Scholarship

Offer:

• Yale University (Mechanical Engineering)

• University of Michigan, Ann Arbor (Mechanical Engineering)

• Johns Hopkins University (Mechanical Engineering & Robotics)

• The University of Hong Kong (Mechanical Engineering)

• The Chinese University of Hong Kong (Mechanical and Automation Engineering)

During the pandemic, GTIIT's independent admissions pathway opened, which changed Chuhan's plan to study in Canada. Once he joined this international STEM university, the dream of building physical robots that had stayed with him since his high school competition days finally took root.

Stay focused, learn deep, build a solid foundation

"I really enjoy playing with physical robots. They turn your ideas into simulations, then deployment, step by step." Shortly after enrollment, a conversation with Professor Liu Mingyi of MER program made one thing clear: university-level research isn't just about "making a robot." It requires solid academic grounding and extensive reading to find your niche — only then can you truly close the loop from ideation to deployment.

Competition Resume from Chuhan's Website

In his first two years, Chuhan threw himself into foundational courses. GTIIT's unique curriculum became the perfect soil for building a strong knowledge base. "Few courses here let you ace the class with just a final exam," he explained. "Most have continuous assessment — homework, labs, projects, class participation. Learning is ongoing, not a one-week cram session."

MER Poster Exhibition

To quickly adapt to English-medium instruction, he took interactive, high-level English electives like Technical English Communication, fully committing to every presentation. In Connie's class, he systematically learned the thinking and techniques behind the language, and found himself drawn to its charm through her warm, humorous teaching style.

Photo with Connie

The toughest challenge was the Algebra Extended course. He developed a three-step strategy: first, discuss homework with classmates to clarify ideas; second, find supplementary lectures on YouTube to fully understand tricky points; third, save the hardest parts for office hours. "When talking with professors, don't just ask 'how to solve this.' Ask 'why was this definition established this way, and how does it connect to what we learned before?'"

With this approach — connecting dots and digging for root causes — difficult problems began to unravel. "You didn’t get it suddenly. You get it when things started to connect. Once I could link those abstract concepts back to linear algebra and proof strategies, the course was not that hard anymore."

Follow, replicate, get the full picture

In his sophomore year, Chuhan joined Professor Liu Mingyi's research group, working on improving locomotion energy efficiency and stability of legged robot by energy recycling.

The research connected mechanics knowledge and allowed him to start with a clean, well-structured walking robot model, completing the full process from modeling to simulation to design to experimentation. "This project taught me that robot research can start from understanding the essence of movement, rather than diving into overly complex systems from the get-go."

Robot testing

He often felt fortunate for the support of his mentors and peers. "Professor Liu and the senior students didn't just hand me a difficult project. They gave me code and files that already worked, with successful results. I taught myself, reproduced their work, understood the modeling, simulation, and experimental processes — built my foundation. Then we split up the work and moved forward."

That whole 'guide-first-then-let-go' approach, plus patience and clear direction — a real undergrad-friendly setup — turned Chuhan from someone who knew how to "take classes" to someone who could "do research." With a solid foundation, he applied to join CUHK as a research assistant in the summer of his junior year, working on 3D hopping locomotion for a hopping robot project — work he continues to this day.

"The work involves both hardware and control algorithms. I'm responsible for hardware integration and embedded development of the 3-RSR parallel leg, while also contributing to the design and implementation of a hierarchical control framework." Through this experience, he completed the full pipeline for the first time — from algorithms to embedded systems to experimental validation, building a complete R&D map for robots.

The project eventually achieved continuous 3D hopping outdoors, with quick recovery even under significant disturbances. A related paper has been accepted at IEEE CASE 2026 — a top international conference in automation — and the work is now advancing toward multimodal reinforcement learning.

Photo with Prof. Liu Mingyi

"Throughout college, I've been seeking opportunities related to physical robots." Outside academics, he co-founded GTIIT's first student robotics team, "Kongfu Team," and won second prize in the infantry combat competition at RoboMaster 2025 (Fujian regional). "Beyond applying what I learned in class to the real world, I also learned how to build efficient team workflows and effectively communicate with manufacturers."

GTIIT Team in RoboMaster 2025

Chuhan is the leftmost

With four years of solid experience, Chuhan handled the entire application process himself and received offers from top institutions including Yale, the University of Hong Kong, and Johns Hopkins. The dream he nurtured as a teenager grew steadily in the right academic soil — and led him to a much broader world.

And before him, the inaugural cohort of GTIIT's MER major had already defined the power of this environment — over 53% admitted to world top 10 universities, over 80% to world top 30. More and more students are starting from here, embedding their passions into the gears of China's strategy to become a manufacturing powerhouse. They learn what they love, apply what they learn, and grow into the vibrant, powerful "underlying drive" of China's emerging robotics industry.

來源：廣東以色列理工學院

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