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当具身智能从 “算法构想” 走向 “实体交互”，“大模型 + 多模态感知” 正成为技术破局的核心引擎：VLA 架构重构决策范式，VLM 让机器从 “看懂” 到 “理解”，而多传感器融合、跨模态对齐，则是打通 “感知 - 认知 - 行动” 闭环的关键。当前行业既迎来大模型下沉终端的机遇，也面临算力瓶颈、数据协同、端侧部署等现实挑战，“感知无界” 的技术突破，正定义具身智能的下一代产业格局。
从实验室的 “单点技术突破” 到产业端的 “全链路落地”，具身智能正卡在关键的 “衔接关口”：大模型的泛化能力难以适配机器人的实时感知需求，多模态融合的算法框架与硬件载体存在 “适配鸿沟”，端侧算力、数据协同的行业标准更是尚未统一。
在此背景下，盖世集团主办的“2026具身感知融合与多模态大模型创新研讨会”将于上海召开。活动聚焦 技术范式革命 、多模态感知融合、 VLA 架构、多模态感知、跨模态统一表征、算力与数据、端云协同、仿真进化、边缘推理、分布式训练、触觉 /视觉/力觉传感的落地实践；更有热点对话链接大模型、机器人、芯片等全产业链资源，汇聚产业头部玩家，打通具身智能从 “算法” 到 “实体” 的全链路。
诚挚邀请您拨冗出席本次研讨会，与国内外技术领袖、行业精英共探具身智能的未来路径，共同推动多模态感知与具身大模型的融合发展。期待与您相聚9月，携手迈向智能感知与实体行动无缝融合的新纪元！
Welcome to the The Symposium on Embodied Perception Fusion & Multimodal Large Model Innovation 2026, hosted by Gasgoo, to be held on September 15, 2026 in Shanghai.
As embodied AI moves from conceptual algorithms to real-world physical interaction, the convergence of foundation models and multimodal perception is reshaping the technological landscape. While VLA architectures and VLMs are redefining how machines perceive and reason, challenges remain in compute constraints, data coordination, edge deployment, and hardware-algorithm integration.
This symposium brings together the full ecosystem — from foundation models and robotics to chips and sensors — to address these challenges and chart the path forward. Topics include multimodal perception fusion, cross-modal representation, cloud-edge collaboration, simulation evolution, and practical sensor deployment.
We would be honored by your participation in this dialogue with global thought leaders and industry pioneers, as we work together to bridge the gap between intelligent perception and embodied action.
We look forward to seeing you in Shanghai.
演讲及参展请联系：冯女士 邮箱：conference@gasgoo.com，电话：021-39586681
For speaking engagements and exhibition inquiries, please contact: Ms. Feng，Email: conference@gasgoo.com，Tel: +86-21-39586681
主办方欢迎致辞
顾晓颖 | 盖世具身智能CEO
Host Welcome Remarks
Xiaoying Gu，CEO, Gasgoo Embodied AI
2026WAIC&WRC前沿洞察
王显斌 | 盖世合伙人、研究院副总裁
2026 WAIC & WRC Frontier Insights
Richard Wang ，Partner & VP of Gasgoo Research Institute
在工厂中实践物理AI：从仿真走向真实世界部署
谢一鹏 | 宇树科技股份有限公司 工业场景解决方案负责人
Build Physical AI From Factories: From Simulation to Real-World Deployment
Peter Xie，Director of Industry Innovation，Unitree Robotics
世界模型，开启物理AGI新时代
毛继明 | 极佳科技合伙人 & 副总裁
World Models，Ushering in a New Era of Physical AGI
Jiming Mao，Partner & VP, GigaAI
迈向泛在具身智能之路：物理原生的世界模型、数据结构与训练算法
吕 尧 | 光象实验室首席科学家
Toward Physics-native Intelligence: World Model, Data Structure and Training Algorithm
Yao Lyu，Chief Scientist, Sunrising AI Lab
茶歇&交流
Tea Break & Networking
多模态感知赋能人形机器人:从环境理解到自主行动
赵飞宇 | 众擎机器人生态负责人
Multimodal Perception EmpoweringHumanoid Robots: From EnvironmentalUnderstanding to Autonomous Action
Feiyu Zhao，Head of Ecosystem，EngineAI
从人手到灵巧手：触觉手套与具身智能数据采集
廖永兴 | 福莱新材AI算法总监
From Human Hand to Dexterous Hand: Tactile Gloves and Embodied AI Data Acquisition
Liew Weng Heng，Director of AI Algorithms, Fulai New Material
从SLAM到世界模型：构建具身智能的认知演进闭环
王 冠 | 墨甲机器人空间智能算法总监
From SLAM to World Models: The Closed-Loop Cognitive Evolution of Embodied AI
Guan Wang，Director of Spatial Intelligence Algorithms，AiMOGA
热点对话：从“看懂”到“会做”：具身智能迈向通用智能的关键突破在哪里？
1. VLA、世界模型与物理原生模型，谁才是具身智能的“大脑”？
2. 从视觉到触觉/力觉，多模态感知如何真正进入决策闭环？
3. 真机数据、仿真数据与人类数据，谁将成为机器人进化的主力？
4. 具身智能真正规模化，最大的瓶颈到底是模型、数据、感知还是本体？
Hot Dialogue: From Understanding to Action: What Are the Key Breakthroughs Toward General-Purpose Embodied Intelligence?
1. VLA, World Models, or Physics-Grounded Models: Which One Truly Serves as the "Brain" of Embodied AI?
2. From Vision to Tactile/Force Sensing: How Can Multimodal Perception Truly Enter the Decision-Making Loop?
3. Real-Robot Data, Simulated Data, or Human Data: Which Will Become the Main Driver of Robotic Evolution?
4. For True Large-Scale Deployment of Embodied AI, Is the Biggest Bottleneck Models, Data, Perception, or the Hardware Itself?
午餐&交流
Lunch & Networking
从数据到能力——觅蜂百万小时无本体数据集与全链路技术体系
刘 力｜上海觅蜂具身智能科技有限公司技术副总裁
From Data to Intelligence: Maniformer’s Million-Hour Real-World Dataset and End-to-End Technology Stack
Li Liu，Vice President of Technology, Shanghai Maniformer Intelligent Technology Co.,Ltd
物理AI驱动具身智能进化：从高保真仿真到真机部署
石茜子 | 松应科技生态发展总监
Physical AI Driving Embodied Intelligence Evolution: From High‑Fidelity Simulation to Real‑Robot Deployment
Xizi Shi，Director of Ecosystem Development, Songying Technology
构建面向通用具身智能的数据系统
朱 杰 | 超维动力副总裁
Building a Scaling Data System for General-Purpose Embodied AI
Jie Zhu，Vice President of Engineering, Kinetix AI
具身智能数据训练场与远程作业机器人产业生态构建
计海锋 | 睿尔曼智能科技（北京）股份有限公司 解决方案总监
Construction of Embodied‑AI Data Training Ground and Industrial Ecosystem for Teleoperation Robots
Silas Ji，Director of Solutions，RealMan Intelligent Technology (Beijing) Co., Ltd.
具身智能数据飞轮：从数据采集到模型进化的基础设施实践
廖绍尧 | 腾讯智慧出行解决方案总监
Embodied AI Data Flywheel: Infrastructure Practices from Data Acquisition to Model Evolution
Torres Liao，Tencent Smart Mobility Solution Director
具身数据驱动机器人智能进化：从数据采集到自主学习闭环
严 玮 | 无问智科解决方案专家
Embodied Data Driving Robotic Intelligence Evolution: From Data Acquisition to Autonomous Learning Loop
Stan Yan，Solution Expert，Wuwen AI
茶歇&交流
Tea Break & Networking
全功能GPU与具身智能的协同进化
吕其恒 | 摩尔线程生态副总裁兼摩尔学院院长
The Co-Evolution of Universal GPUs and Embodied Intelligence
Qiheng Lyu，Vice President of Moore Threads & Dean of Moore Threads Academy
从原型设计到量产——推动具身智能规模化落地
陈本东 | 高通技术公司产品市场总监
From Prototype to Mass Production — Accelerating the Scaled Deployment of Embodied Intelligence
Bendong Chen，Director, Product Marketing, Qualcomm Technologies
从基座模型到AOS：端云协同的 Agent 工程实践
焦 辉 | 阶跃星辰解决方案总监
From Foundation Models to AOS: Edge–Cloud Collaborative Agent Engineering
Daniel Jiao，Solutions Director, StepFun
AMD物理AI全栈方案
应毅辰 | AMD 物理AI市场拓展经理
AMD Physical AI: Full-Stack Answer
Cross Ying，Physical AI Market Development Manager, AMD
云边端协同赋能具身智能：从单机智能走向群体智能
张 慧 | 中兴通讯股份有限公司机器人产品规划总工
Cloud-Edge-Device Collaboration Empowering Embodied Intelligence: From Single-Agent Intelligence to Swarm Intelligence
Hui Zhang，Robot Product Planning Chief Engineer，ZTE Corporation
面向具身与汽车的AI算力新基建：芯云模一体化技术架构与战略
郑 洋 | 阿里云AI汽车行业高级解决方案架构师
New AI Computing Infrastructure for Embodied AI and Automotive: Chip-Cloud-Model Integrated Architecture and Strategy
Yang Zheng，Senior Solution Architect, AI Automotive Industry, Alibaba Cloud
大会结束
End of Conference
主办方欢迎致辞
顾晓颖 | 盖世具身智能CEO
Host Welcome Remarks
Xiaoying Gu，CEO, Gasgoo Embodied AI
2026WAIC&WRC前沿洞察
王显斌 | 盖世合伙人、研究院副总裁
2026 WAIC & WRC Frontier Insights
Richard Wang ，Partner & VP of Gasgoo Research Institute
在工厂中实践物理AI：从仿真走向真实世界部署
谢一鹏 | 宇树科技股份有限公司 工业场景解决方案负责人
Build Physical AI From Factories: From Simulation to Real-World Deployment
Peter Xie，Director of Industry Innovation，Unitree Robotics
世界模型，开启物理AGI新时代
毛继明 | 极佳科技合伙人 & 副总裁
World Models，Ushering in a New Era of Physical AGI
Jiming Mao，Partner & VP, GigaAI
迈向泛在具身智能之路：物理原生的世界模型、数据结构与训练算法
吕 尧 | 光象实验室首席科学家
Toward Physics-native Intelligence: World Model, Data Structure and Training Algorithm
Yao Lyu，Chief Scientist, Sunrising AI Lab
茶歇&交流
Tea Break & Networking
多模态感知赋能人形机器人:从环境理解到自主行动
赵飞宇 | 众擎机器人生态负责人
Multimodal Perception EmpoweringHumanoid Robots: From EnvironmentalUnderstanding to Autonomous Action
Feiyu Zhao，Head of Ecosystem，EngineAI
从人手到灵巧手：触觉手套与具身智能数据采集
廖永兴 | 福莱新材AI算法总监
From Human Hand to Dexterous Hand: Tactile Gloves and Embodied AI Data Acquisition
Liew Weng Heng，Director of AI Algorithms, Fulai New Material
从SLAM到世界模型：构建具身智能的认知演进闭环
王 冠 | 墨甲机器人空间智能算法总监
From SLAM to World Models: The Closed-Loop Cognitive Evolution of Embodied AI
Guan Wang，Director of Spatial Intelligence Algorithms，AiMOGA
热点对话：从“看懂”到“会做”：具身智能迈向通用智能的关键突破在哪里？
1. VLA、世界模型与物理原生模型，谁才是具身智能的“大脑”？
2. 从视觉到触觉/力觉，多模态感知如何真正进入决策闭环？
3. 真机数据、仿真数据与人类数据，谁将成为机器人进化的主力？
4. 具身智能真正规模化，最大的瓶颈到底是模型、数据、感知还是本体？
Hot Dialogue: From Understanding to Action: What Are the Key Breakthroughs Toward General-Purpose Embodied Intelligence?
1. VLA, World Models, or Physics-Grounded Models: Which One Truly Serves as the "Brain" of Embodied AI?
2. From Vision to Tactile/Force Sensing: How Can Multimodal Perception Truly Enter the Decision-Making Loop?
3. Real-Robot Data, Simulated Data, or Human Data: Which Will Become the Main Driver of Robotic Evolution?
4. For True Large-Scale Deployment of Embodied AI, Is the Biggest Bottleneck Models, Data, Perception, or the Hardware Itself?
午餐&交流
Lunch & Networking
从数据到能力——觅蜂百万小时无本体数据集与全链路技术体系
刘 力｜上海觅蜂具身智能科技有限公司技术副总裁
From Data to Intelligence: Maniformer’s Million-Hour Real-World Dataset and End-to-End Technology Stack
Li Liu，Vice President of Technology, Shanghai Maniformer Intelligent Technology Co.,Ltd
物理AI驱动具身智能进化：从高保真仿真到真机部署
石茜子 | 松应科技生态发展总监
Physical AI Driving Embodied Intelligence Evolution: From High‑Fidelity Simulation to Real‑Robot Deployment
Xizi Shi，Director of Ecosystem Development, Songying Technology
构建面向通用具身智能的数据系统
朱 杰 | 超维动力副总裁
Building a Scaling Data System for General-Purpose Embodied AI
Jie Zhu，Vice President of Engineering, Kinetix AI
具身智能数据训练场与远程作业机器人产业生态构建
计海锋 | 睿尔曼智能科技（北京）股份有限公司 解决方案总监
Construction of Embodied‑AI Data Training Ground and Industrial Ecosystem for Teleoperation Robots
Silas Ji，Director of Solutions，RealMan Intelligent Technology (Beijing) Co., Ltd.
具身智能数据飞轮：从数据采集到模型进化的基础设施实践
廖绍尧 | 腾讯智慧出行解决方案总监
Embodied AI Data Flywheel: Infrastructure Practices from Data Acquisition to Model Evolution
Torres Liao，Tencent Smart Mobility Solution Director
具身数据驱动机器人智能进化：从数据采集到自主学习闭环
严 玮 | 无问智科解决方案专家
Embodied Data Driving Robotic Intelligence Evolution: From Data Acquisition to Autonomous Learning Loop
Stan Yan，Solution Expert，Wuwen AI
茶歇&交流
Tea Break & Networking
全功能GPU与具身智能的协同进化
吕其恒 | 摩尔线程生态副总裁兼摩尔学院院长
The Co-Evolution of Universal GPUs and Embodied Intelligence
Qiheng Lyu，Vice President of Moore Threads & Dean of Moore Threads Academy
从原型设计到量产——推动具身智能规模化落地
陈本东 | 高通技术公司产品市场总监
From Prototype to Mass Production — Accelerating the Scaled Deployment of Embodied Intelligence
Bendong Chen，Director, Product Marketing, Qualcomm Technologies
从基座模型到AOS：端云协同的 Agent 工程实践
焦 辉 | 阶跃星辰解决方案总监
From Foundation Models to AOS: Edge–Cloud Collaborative Agent Engineering
Daniel Jiao，Solutions Director, StepFun
AMD物理AI全栈方案
应毅辰 | AMD 物理AI市场拓展经理
AMD Physical AI: Full-Stack Answer
Cross Ying，Physical AI Market Development Manager, AMD
云边端协同赋能具身智能：从单机智能走向群体智能
张 慧 | 中兴通讯股份有限公司机器人产品规划总工
Cloud-Edge-Device Collaboration Empowering Embodied Intelligence: From Single-Agent Intelligence to Swarm Intelligence
Hui Zhang，Robot Product Planning Chief Engineer，ZTE Corporation
面向具身与汽车的AI算力新基建：芯云模一体化技术架构与战略
郑 洋 | 阿里云AI汽车行业高级解决方案架构师
New AI Computing Infrastructure for Embodied AI and Automotive: Chip-Cloud-Model Integrated Architecture and Strategy
Yang Zheng，Senior Solution Architect, AI Automotive Industry, Alibaba Cloud
大会结束
End of Conference
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