2026年，广东以色列理工学院第六届本科毕业生即将扬帆远航，携母校赋予的学识与胆识，秉承 “实干圆梦” 的信念，将青春的印记镌刻于一次次求索与突破之中。让我们共同走进广以2026届学子们关于成长、选择与超越的青春故事，见证他们如何以行动为翼，飞向属于自己的璀璨征途。
姓名：张楚涵
毕业高中：福州第八中学
本科专业：机械工程与机器人
获得奖项：
GTIIT Dean’s List Academic Scholarship
录取院校：
耶鲁大学（机械工程）
密歇根大学安娜堡分校（机械工程）
约翰斯·霍普金斯大学（机械工程&机器人）
香港大学（机械工程）
香港中文大学（机械与自动化工程）
疫情期间，广以自主招生通道的开启，改变了楚涵原本去加拿大读书的计划。进入这所理工科国际化大学后，他自中学竞赛期间就埋下的实体机器人梦想，也在这里扎下了根。
静心、学透、筑牢知识网
“我很喜欢‘玩’实体机器人，它能把你的想法从思考变成仿真，并且部署，一步步实现。”入学初期与所在专业刘鸣艺教授的一次交谈，让楚涵很快明白了一件事——做大学层级的科研，不只是“做出一个机器人就好”。它需要扎实的学科功底，需要广读论文找到差异化，才能将“从思考到部署”的闭环真正跑通。
楚涵个人网站里的参赛履历
大一大二，他沉下心来，把绝大部分精力投入到基础课程中，而广以独特的课程设置，恰好成为他筑牢根基、完善知识体系的最佳土壤。“广以很少有靠一次期末考试就能拿满分的课。”他解释，“大部分课程都有平时作业、实验、课堂项目设计、课堂表现等占比——学习是连续的，不是考前突击一两周。”
专业海报展
为尽快融入全英教学，他大一期间选修了科技英语沟通等互动性强、专业度高的英语课，全力投入每一次上台汇报。在Connie老师的课上，他系统习得了英语的思维与技法，也在她亲切幽默的教学风格中感知这门语言的魅力。
与Connie合照
面对挑战最大的“代数拓展”课，他摸索出一套“通关三部曲”：先和同学讨论作业、理清思路；再从 YouTube 上找补充讲座，借其他老师的讲解“吃透”疑点；最难啃的部分，则留给更具针对性的office hours。“和教授讨论时，不是只问‘这题怎么做’，而是问‘这个定义为什么要这样建立、它和前面哪部分内容连在一起’。”
在这种以点带面、寻根问底的思维训练下，难题迎刃而解。“突破的关键，其实不是突然‘会做题了’，而是开始把知识点串联起来——当抽象概念能和前面学的线性代数、证明思路连上时，这门课就没那么难了。”
跟学、复现、跑通全链路
进入大二，楚涵加入刘鸣艺教授的课题组，研究通过能量回收提升腿式机器人行走的效率和稳定性。
研究串联起课堂上的力学知识，也让他得以从一个结构清晰的行走机器人模型入手，完整走完建模—仿真—设计—实验的流程。“这个项目让我体会到，机器人研究可以从理解运动本质开始，而不是一开始就做特别复杂的系统。”
调试机器人
师友相助的实验室时光常让他倍感幸运。“刘教授和组里的学长并不是直接丢给我一个很难的课题，而是先给我一些已经跑通、有成功结果的代码和文件，让我先自学、复现，把建模、仿真和实验流程摸清楚，打好基础后再分工配合，在不影响彼此进度的前提下一起推进项目。”
先引导入门，再逐步放手，给方向，更给耐心，这种对本科生友好的科研方式，让楚涵稳步从“会上课”走到“会做研究”。随着知识地基打牢，他在大三暑期申请加入香港中文大学（CUHK）担任研究助理，参与跳跃机器人项目的3D跳跃运动研究，延续至今。
“工作不只有硬件，也有控制算法。我一方面负责3-RSR并联腿的硬件集成和嵌入式开发，一方面参与分层控制框架的设计与实现。” 凭借这段经历，他第一次跑通了跳跃机器人从算法、嵌入式到实验验证的整个链路，用实打实的经验垒起完整的机器人研发地图。
项目最终在户外实现了连续的三维跳跃，在较大扰动下也能较快恢复平衡，相关论文已被自动化领域的顶级国际会议IEEE CASE 2026接收，目前正在往强化学习多模态方向推进。
与刘鸣艺教授合照
“整个大学生涯我都在找与实体机器人相关的机会。”学业之外，他还与多位同学创立了广以首支学生机器人团队“工夫战队”，并一举拿下RoboMaster 2025机甲大师高校联盟赛（福建站）步兵对抗赛二等奖。“除了将课程知识用入现实，我也在其中学习了如何构建高效的团队协作流程，以及如何与制造商进行有效对接。”
RoboMaster 2025机甲大师高校联盟赛广以队
左一为楚涵
凭借四年积累的扎实履历 ，楚涵全程自主申请，拿下了耶鲁大学，香港大学，约翰斯·霍普金斯大学等顶尖学府offer，年少的梦想在合适的专业土壤里不断生长，带领他走向更大天地。
而在他之前，广以首届机械工程与机器人专业的学长学姐们，就已经用实力定义了这片土壤的培养力——超53%获全球前10强高校录取，超80%获全球前30强高校录取。越来越多的学子从这里出发，将个人热爱嵌入国家制造强国战略的齿轮，学有所长，学有所用，陆续成长为中国机器人产业鲜活而强劲的“底层驱动”。
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.
来源：广东以色列理工学院
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