Forum Registration Now Open - Secure Your Seat! Decoding Embodied Intelligence Implementation Challenges and Industry Opportunities

Deep News
08/20

In the wave of generative AI sweeping the globe, embodied intelligence is becoming the core battlefield for the next round of technological competition. It represents not only an extension of AI capabilities but also a crucial step for humanity to integrate digital intelligence into the physical world. Compared to large models that exist only on screens and in the cloud, embodied intelligence gives AI the ability to perceive, decide, and execute, enabling it to observe, understand, and influence the surrounding environment like humans.

Looking back over the past few months, we have witnessed explosive progress in this field: from the stunning debut of agile robots on the Spring Festival Gala stage at the beginning of the year, to the feat of robots successfully completing a full marathon in April; from the fierce competition among humanoid, quadruped, and intelligent robotic arms at the July WAIC conference, fully demonstrating cross-scenario implementation capabilities, to the recent WRC conference that once again reached new heights...

Behind the excitement lies rapid technological evolution, but it also brings new considerations: How far are these seemingly dazzling achievements from true cross-scenario implementation? To make robots grow into production powerhouses, how do we break through the core bottleneck of universal generalization capability to enable valuable actions in open and dynamic environments? How should upstream and downstream industry chains collaborate to transform technological breakthroughs into sustainable commercial value? These systemic challenges require a dual breakthrough key of technological advancement and industrial coordination.

The 2025 Inclusion Bund Conference will be held from September 10-13, 2025, in Shanghai's Huangpu World Expo Park. As one of the conference's insight forums, the "Embodied Intelligence: From Generalization to Action, Reshaping Industrial Future" forum will be held on the afternoon of September 11 in Hall C2. The forum is produced by Machine Heart and Shanghai Zhangjiang Embodied Intelligence Robot Co., Ltd.

With "From Generalization to Action" as the main theme, through keynote reports, thematic speeches, thoughtful roundtable dialogues, and other segments, the forum invites academic leaders, technology enterprise representatives, local innovation pioneers, and industrial scenario representatives from the embodied intelligence field to discuss the path of embodied intelligence generalization.

The forum agenda has been released - register now to start your advancement journey!

⬇️ Exciting Agenda Preview ⬇️

**Forum Speaker Introductions**

**Sun Fuchun**: Professor and doctoral supervisor at the Department of Computer Science and Technology, Tsinghua University; Director of the Intelligent Robotics Center at Tsinghua University's Institute for AI

Personal profile: Professor and doctoral supervisor at Tsinghua University's Department of Computer Science and Technology, IEEE/CAAI/CAA Fellow, recipient of the National Outstanding Youth Fund; serves as Vice Chairman of the Permanent Professor Committee of the Department of Computer Science and Technology and Director of the Intelligent Robotics Center at Tsinghua University's Institute for AI. Currently serves as Vice President of the Chinese Association for Artificial Intelligence (CAAI), Supervisor of the Chinese Association of Automation (CAA), Standing Director of the Chinese Society for Cognitive Science (IACS), and founding Director of the China Computer Federation (CCF) Intelligent Robotics Professional Committee. Also serves as Editor-in-Chief of international journals Cognitive Computation and Systems and AI and Autonomous Systems, Executive Editor-in-Chief of CAAI Artificial Intelligence, and Associate Editor or Domain Editor of IEEE Trans. on Fuzzy Systems and International Journal of Control, Automation, and Systems (IJCAS), and serves on the editorial boards of Robots and Autonomous Systems and International Journal of Social Robots.

**Jiang Lei**: Chief Scientist of the National-Local Joint Humanoid Robot Innovation Center

Personal profile: Chief Scientist of the National-Local Joint Humanoid Robot Innovation Center, expert of the Ministry of Science and Technology's "Intelligent Robot" special project general group, and member of the National Natural Science Foundation "Co-fusion Robot" secretariat. Long committed to research in humanoid robots, quadruped robots, and intelligent bionic walking technologies. Has led projects including the "Qinglong" humanoid robot, 350kg electric yak, and lunar mobile robot FDTM. Currently leading the humanoid robot open source community OpenLoong, releasing the "Gewu" open source embodied intelligence simulation platform and the 7B parameter "Longyue" motion generation large model. Has received 5 provincial and ministerial science and technology progress awards, published over 30 papers, and holds over 50 patents.

**Xu Huazhe**: Co-founder and Chief Scientist of StarSeaMap; Assistant Professor and doctoral supervisor at Tsinghua University's Institute for Interdisciplinary Information Sciences, Head of Tsinghua University's Embodied Intelligence Laboratory

Personal profile: Graduated from UC Berkeley, conducted postdoctoral research at Stanford, and established Tsinghua University's Embodied Intelligence Laboratory upon returning to China. Research directions include embodied intelligence and robotics, reinforcement learning, and imitation learning. Has systematically studied visual deep reinforcement learning, imitation learning, and robot manipulation around key aspects of embodied AI, making multiple contributions to solving core problems of low data efficiency and weak generalization ability in embodied AI. Has received the CoRL'23 Best Systems Paper Award, 2024 WAIC "Yunfan Award," and published over 60 top-tier journal/conference papers in IJRR, RSS, NeurIPS, etc. Representative work has been covered by MIT Tech Review, Stanford HAI, and other media. Has served as Area Chair/Associate Editor at IJCAI2023, IJCAI2024, ICRA2024, and ICLR2025.

**Su Yang**: Co-founder and Chief AI Architect of Lingxin Qiaoshou

Personal profile: Currently Co-founder and Chief AI Architect of Lingxin Qiaoshou, long active in open source and technology communities, focusing on the implementation and ecosystem building of cutting-edge AI technologies. Mainly responsible for technical architecture and business collaboration in operating systems, robot orchestras, data factories, and community operations at Lingxin Qiaoshou, skilled at transforming cutting-edge concepts into implementable products and platforms.

**Jin Guoqiang**: NVIDIA Senior Solutions Architect

Personal profile: Currently NVIDIA Senior Solutions Architect, mainly responsible for technical collaboration in deep learning generative AI model training, inference optimization, and large model development and application cloud deployment.

**Pang Jiangmiao**: Young Scientist at Shanghai AI Laboratory, Head of Embodied Intelligence Center

Personal profile: Young Scientist at Shanghai AI Laboratory and Head of Embodied Intelligence Center. Research directions include robot learning, multimodal learning, and embodied intelligence, aiming to build integrated generalizable embodied general AI systems. Has published over 60 papers in top computer vision and robot learning journals and conferences such as TPAMI, IJCV, CVPR, and CoRL, with over 15,000 Google Scholar citations. Related open source projects have accumulated over 50,000 GitHub stars and are widely used in industry and academia. Has received honors including ECCV 2024 Best Paper Nomination, RSS 2025 Best Systems Paper Nomination, and CVPR 2023 and ECCV 2024 Most Influential Paper awards.

**Zhang Zhizheng**: Co-founder and Large Model Lead at Galaxy General Robotics

Personal profile: Currently Co-founder and Large Model Lead at Galaxy General Robotics. Former Senior Researcher at Microsoft Research Asia, led the development of multiple foundation models and multimodal large model projects, with rich experience in AI model and system research, productization, and management. Joint PhD student from University of Science and Technology of China and Columbia University. Has received multiple awards including Outstanding Doctoral Dissertation from China Society of Electronic Education, Anhui Province Outstanding Doctoral Dissertation, USTC Outstanding Doctoral Dissertation, and Anhui Province Outstanding Graduate. Published over 30 papers in top global computer vision and AI conferences and journals in recent three years.

**Qin Cheng**: General Manager of Siemens Xcelerator China

Personal profile: Currently General Manager of Siemens Xcelerator China. In this position, Mr. Qin comprehensively manages Siemens Xcelerator China's overall business development and operations, including formulating business development strategies, product planning and development, market strategies, operations management, organizing sales, implementing growth strategies, expanding channels, and establishing and maintaining partnerships and core customer relationships. Mr. Qin has deep expertise in industrial digitalization for nearly 15 years, with in-depth understanding and market and service experience in industrial software, intelligent manufacturing, digital platforms, SaaS, and other digitalization fields, and has led digital transformation planning and implementation for numerous industry-leading customers.

**Sun Zhaozhi**: Founder and CEO of Robopoet

Personal profile: Former Head of Product Design at XPeng Robotics, responsible for product requirement definition, industrial design, interaction design, brand positioning, and communication strategy at XPeng Robotics. Was a well-known figure in automotive products and design, joined XPeng in 2015 and was responsible for interior design of the first mass-production vehicle. In 2017, Sun Zhaozhi joined Didi as Head of Car Manufacturing Project and became founder of experience design brand XID Lab. Possesses rich industry experience and outstanding professional background.

**Wu Changzheng**: President of Magic Atom

Personal profile: Graduated from Shanghai Jiao Tong University with master's research direction in robotics technology. Has years of legged robot research experience, former Head of Quadruped Robot Product R&D at Pudu Robotics. After joining Magic Atom, led the team to develop and mass-produce multiple quadruped robot products and engage in key technology development for humanoid robots. Main team technical breakthroughs include: robot core torque motor joints, robotic arms, and general robot R&D and manufacturing for legged robots.

**Zhu Xing**: CEO of Ant Lingbo Technology

Personal profile: Currently CEO of Ant Lingbo Technology, established and served as General Manager of Ant Group's Advertising Business Unit, long-term service in Alibaba and Ant technical systems. In March 2025, Ant Lingbo Technology was unveiled in Pudong, focusing on embodied intelligence technology and product development. He leads the team to focus on life service fields, committed to creating industry-leading robot products, hoping robots can enter daily life and become people's capable assistants.

**Secure Offline Seats Registration Link**: https://www.inclusionconf.com/invitelogin?inviteCode=YSQdgydE&channelType=forum_invited_major

If you have any questions during registration, please feel free to contact the event assistant: 13661489516 (WeChat available)

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