About Me 关于我
I build robotics perception systems that connect strong research with product reality, from tactile sensing and multi-sensor fusion to V-SLAM and large-scale vision pipelines. 我专注于机器人感知系统，擅长把扎实研究与产品现实连接起来，工作横跨触觉感知、多传感器融合、V-SLAM 与大规模视觉生成流程。
A perception engineer shaped by top-ranked academic work, startup execution, and real product constraints. 由顶尖学术训练、创业执行经验与真实产品约束共同塑造的感知工程师。
My path started in pattern recognition and computer science, then expanded through tactile sensing papers, multi-sensor fusion research, V-SLAM engineering, and autonomous-driving visual pipelines. I am most useful where algorithms, systems design, and deployment pressure meet. 我的路径从模式识别与计算机科学出发，随后延伸到触觉感知论文、多传感器融合研究、V-SLAM 工程以及自动驾驶视觉流程。我最擅长处理的，正是算法、系统设计与部署压力真正交汇的地方。
From embodied sensing and multi-sensor fusion to V-SLAM and scene generation. 从具身感知与多传感器融合，一路延伸到 V-SLAM 与场景生成。
My work is not limited to a single perception niche. I have built tactile sensing systems, multi-sensor fusion pipelines, SLAM components, and data-generation workflows for autonomous-driving scenarios, which gives me a broad but coherent understanding of perception systems.
我的工作并不局限于某一个细分感知方向，而是横跨触觉感知系统、多传感器融合流程、SLAM 组件以及自动驾驶场景的数据生成方法。这让我对感知系统形成了更完整且连贯的理解。
Papers are only part of the story; I care about how they survive contact with real systems. 论文只是起点，我更在意它们如何经得起真实系统的检验。
My publication record ranges from tactile sensing in ACS Nano and Nature Communications to multi-sensor USV tracking in Ocean Engineering and large-scale novel-view synthesis accepted to IROS. Across topics, the common thread is building methods that matter at the system level rather than optimizing in isolation.
我的论文工作从 ACS Nano 与 Nature Communications 的触觉感知，延伸到 Ocean Engineering 的多传感器无人艇跟踪，以及被 IROS 接收的大规模新视角图像合成。不同题目背后的共同主线，是关注真正影响系统表现的方法，而不是脱离场景的局部优化。
Labs, startups, and a period in frontier-tech investing shaped how I make decisions. 实验室、创业团队，以及一段前沿科技投资经历，共同塑造了我的判断方式。
Beyond academic labs, I have worked on V-SLAM and AI systems in startup and product environments, and spent a period engaging with more than 100 startups as an AI industry analyst. That combination makes me attentive not only to technical quality, but also to timing, scope, and product usefulness.
除了学术实验室，我也在创业与产品环境中做过 V-SLAM 和 AI 系统，还曾以 AI 产业分析师身份深度接触 100 余家创业公司。这种组合让我在关注技术质量之外，也会同时考虑节奏、边界与产品价值。
I treat visuals, demos, and writing as part of technical work rather than decoration. 我把视觉表达、演示与写作视为技术工作的一部分，而不是附属装饰。
In several projects I took ownership of illustrations, videos, and presentation materials in addition to algorithms and experiments. Outside work, photography and visual storytelling continue to sharpen how I explain systems. Some of that work is here.
在不少项目里，我除了负责算法与实验，也主动承担插图、视频和展示材料的制作。工作之外，摄影与视觉叙事也持续影响我解释技术系统的方式。部分作品可以在这里看到。
Research Interests 研究兴趣
My current interests center on robotics perception, machine learning, computer vision, and embodied intelligence, especially where perception quality directly shapes system behavior, autonomy, and product usefulness. If you are building something ambitious in robotics or perception, I would be glad to connect. 我当前的兴趣仍然聚焦于机器人感知、机器学习、计算机视觉与具身智能，尤其关注那些会直接影响系统行为、自主能力与产品价值的感知问题。如果你正在做有野心的机器人或感知相关项目，欢迎联系我。
News 动态
Joined Jabbr as an AI Algorithm Engineer. 加入 Jabbr，担任 AI 算法工程师。
Paper accepted to IROS 2025 as an oral presentation. 论文被 IROS 2025 接收，并获 oral presentation。
Overseas PhD enrollment became unlikely because of research-background sensitivity, but my focus on applied robotics remains unchanged. 由于研究背景相关因素，海外 PhD 入学前景变得不确定，但我对应用机器人方向的投入没有改变。
Received multiple fully funded PhD offers in robotics. 获得多个机器人方向全额资助 PhD offer。
Joined OMOway and worked on V-SLAM, visual localization, odometry, and map building for its first product. 加入 OMOway，参与首款产品的 V-SLAM、视觉定位、里程计与地图构建。
Unable to proceed with UK enrollment because of ATAS clearance issues. 因 ATAS 审批问题，未能继续推进英国入学。
Paper accepted by Ocean Engineering. 论文被 Ocean Engineering 接收。
Received multiple fully funded PhD offers in robotics, spanning manipulation, arm control, tactile perception, and imitation learning. 获得多个机器人方向全额资助 PhD offer，涉及操作、机械臂控制、触觉感知和模仿学习。
Returned to Shenzhen and joined Boundary AI to work on VSLAM systems. 回到深圳，加入 Boundary AI 从事 VSLAM 系统研发。
Graduated with M.Res. Distinction and received the Best Overall Master Student award, ranked 1st among 80+ students. 以 Distinction 完成 M.Res. 学位，并获得 Best Overall Master Student，80 余名学生中排名第 1。
Paper accepted by Nature Communications. 论文被 Nature Communications 接收。