MultiPlantsAI 是一个面向植物景观设计、生产与销售全流程的 AI 智能系统。用户只需输入文字或上传图片，即可快速生成个性化植物景观方案，并在真实空间中完成可视化预览、修改优化与产品落地。项目以“Text-to-World”为核心体验，将传统高门槛、低效率的景观设计流程转化为低门槛、高效率、可规模化的智能服务。 

情感并非装饰，而是人类决策与协作的“基础协议”。为加速人工智能在医疗、教育与人机交互领域的产业化应用，我们构建了一套完整的端到端多模态情感智能系统。该系统集成了专用硬件套件，能够同时进行非接触式生理信号监测、面部动作单元检测与音频采集，并结合云端多模态大语言模型（MLLM）进行智能数据分析与动态交互，推动人工智能从“静态大脑”进化为“自适应心智”，使“理解人类”成为下一代智能系统的标准能力，为更具共情力与效能的技术奠定基础。 

多模态非接触式生理采集设备于2026年3月获日内瓦国际发明展金奖 

本项目聚焦个性化人工皮肤开发，构建兼具组织结构与感知功能的 3D 生物打印仿生皮肤模型。模型集成皮肤多层生理结构、血管网络及诱导多能干细胞（iPSC）来源的感觉神经元，高度模拟天然皮肤核心特征。项目融合 3D 生物打印、干细胞工程、神经分化、生物材料设计等前沿技术，解决传统皮肤移植瘢痕、免疫排斥、功能恢复不足等缺陷，为再生治疗与体外功能测试提供创新平台。 

本项目针对传统电子面弓操作复杂、成本高昂的痛点，提出了一种多模态智能感知系统。该系统集成了毫米波雷达无线感知与计算机视觉技术，实现非接触式的颌面运动高精度捕捉，并结合轻量化穿戴式设备获取深层功能信号。这一方案将评估重点从‘单纯空间位移测量’转向‘模拟生活场景下的动态功能生物标志物分析’，为常规口腔诊疗提供了一种低成本、筛查导向的数字化工具。 

环境本身蕴藏着巨大的资源与能源潜力，可作为缓解全球能源短缺和减少碳排放的重要“资源库”和“能量库”。环境中的湿度及低品位热能，均可被开发并用于可再生能源的生产。本项目旨在应对过量碳排放和全球能源短缺两大挑战。通过核心的空气捕水加光催化产氢设备，凭借三项创新性技术路径，覆盖从氢气生产、检测到分离纯化的全过程，将这些资源高效转化为氢能等可再生能源。 

第四届高校电子电气工程创新大赛省级三等奖 

本项目面向灾后室内外场景，研发专用多无人机系统，可实现环境探测、场景重构、目标搜索与场景理解，有效提升灾后应急处置效率。  

第五届广东省研究生学术论坛-“智能制造与机器人”分论坛口头报告三等奖； 

车梓俊、张迎洪相关论文被顶级机器人会议ICRA接收； 

张明杰、杜雨恒相关论文被顶级机器人期刊RAL接收； 

王云飞相关论文被顶级机器人会议RSS接收。 

本项目基于四足机器人、机械臂、集群机器人与物品导航，实现了一套异构机器人协作执行任务的解决方案，有效解决了机械臂受限于自身结构的抓取范围过小的问题。同时也为后续异构机器人的合作探索打下了基础。 

Lumotech 是一款人工智能室内设计平台，专为家居行业 B端打造，基于室内图轻松实现家居魔法体验，旨在解决传统家居装饰中的看不到整体适配效果、返稿次数多、效率低下问题。  

通过利用 LLM 对话、3D 重构和、AIGC 设计等技术，一分钟之内产出室内效果预览图，轻松实现家居魔法体验，整体空间预览，减少试错成本，助力提升导购信服度与用户购买意愿。 

MicroBonsAI（微景智成）是一个面向岭南盆景产业的 AI 赋能设计与营销支持系统，融合 AIGC、LLM、MLLM、HCI 与可视化设计等技术，围绕盆景知识库构建、生成式模型设计与训练、2D/3D 功能开发、多模态智能生成、交互设计、可视化设计、用户研究与评估等模块展开，帮助盆景匠人、销售人员及客户完成盆景创意生成、设计表达、交互展示与营销内容生产，推动传统盆景行业的数字化与智能化升级。 

获得“创青春广东‘百千万工程’兴乡青年创业大赛”相关荣誉  

获得“百度第二届文心杯创业大赛 AI 潜力之星”奖项  

选广州智算联盟第一批“人工智能+”典型案例 

The Polarbrella Smart Sunshade is an innovative shading solution that integrates photovoltaic power generation with intelligent management. Equipped with an ultra-large (6㎡), highly efficient flexible perovskite module and a smart cooling system, it provides all-day shade while achieving an active temperature reduction of 5–8°C. Its built-in 1kWh energy storage module supports off-grid operation for up to 24 hours and incorporates smart features such as charging interfaces, IoT environmental sensors, and a replaceable e-ink advertising screen. Polarbrella is suited for diverse settings including urban parks, commercial plazas, and corporate campuses, meeting both municipal demands for low-carbon infrastructure and the need for distinctive experiences in commercial spaces. Multiple units can be combined to form a "Green Oasis Matrix," creating sustainably powered cool zones that redefine zero-carbon summer living through clean technology. 

Awarded in 2025 Jinko Solar Global Business and Technology Challenge 

项目背景

Unmanned patrol vehicles represent a significant advancement in the field of security and surveillance. These systems are designed to operate without direct human intervention, by leveraging sophisticated automation technologies. The development of Unmanned patrol vehicles addresses the growing need for efficient, continuous, and reliable surveillance in various settings. By reducing the reliance on human patrols, these vehicles enhance safety, reduce operational costs, and provide real-time data collection and analysis.

Methods and Techonology

Localization and Mapping - Use multi-modal sensor data to generate motion estimation and a 3D map of the environment.

Perception - Use deep learning to interpret the environment and recognize objects.Planning and Control - Make the robot move without collision.

团队成果

All members of the group obtained extensive training from hands-on hardware and software development of an autonomous vehicle. We have practically expereinced a long-term team project involving the application of a large range of skill set and knowledge discipline.

项目背景

The widespread application of disposable packaging such as corrugated cardboard boxes in logistics has greatly facilitated people's production and life. However, the large amount of packaging waste generated poses a challenge to the sustainable development of human society. In response to the current high economic cost and significant environmental impact of disposable logistics packaging, this project aims to achieve packaging reduction and greening in various logistics scenarios through recyclable digital logistics turnover boxes. It also aims to improve the efficiency of the logistics system by coupling RFID and other IoT technologies with big data analysis, thereby achieving the goal of cost reduction, carbon reduction, and efficiency enhancement.

Methods and Techonology

The project's initial aspiration is to offer a suite of eco-friendly and intelligent logistics packaging solutions to the industry. It is designed systematically and encompasses a comprehensive layout of key nodes across the entire industry chain, such as material modification, equipment manufacturing, chip design, and the establishment of logistics systems. The project aims to tackle each critical node with small teams of two to three members, facilitating a chain-like synergy of innovation.

团队成果

Through preliminary division of labor and field research, the team designed and initially set up a smart packaging management system based on recyclable turnover boxes for the campus food delivery scenario, reducing the use of disposable plastic bags and enabling the circular use of delivery packaging. The project won the first prize in the Campus Sustainable Smart Living Competition and was highly praised by the judges.

In the various stages of project initiation discussions, field research, plan implementation, and project roadshows, students from different academic backgrounds actively engaged in discussions, generating many sparks of inspiration. Guided by the mentors of the project team and through the concerted efforts of the students, students with a background in business and social sciences have gained a clearer understanding of how to progressively implement a project through technology and design. Students with a background in science and engineering have also learned more about considering the costs of project implementation and the potential for future commercial value in the process.