Core Viewpoint - The FCloud OmniBot Empowerment Salon focused on the development of embodied intelligence technologies, emphasizing the importance of physical simulation and data synthesis for scaling applications in the robotics industry [1][3][20]. Group 1: Industry Development Opportunities - The event gathered experts from academia, research institutions, and industry to discuss new opportunities for industrial development [3][5]. - Zhangjiang Science City has over 1,000 AI companies, with more than 90 in the field of embodied intelligence, forming a complete industrial chain from core components to complete machine development [5][20]. Group 2: FCloud OmniBot Platform - FCloud has established a 2,000-card computing center in Zhangjiang to support local enterprises, with plans for further expansion [7][9]. - The OmniBot platform addresses three main challenges in embodied intelligence development: simulation environment setup, synthetic data generation, and computing power requirements [9][20]. - OmniBot integrates NVIDIA Isaac Sim and Isaac Lab for high-performance simulation capabilities, allowing developers to access simulation software via cloud desktops without complex local setups [11][20]. Group 3: Technical Innovations - The platform can generate 100 synthetic data points from a single real-world data point, significantly enhancing data collection efficiency [11][20]. - OmniBot supports cloud training and deployment of mainstream models, including specialized models for embodied intelligence [12][20]. - The cloud-edge collaboration model allows developers to train models in the cloud and deploy them on robots, reducing development costs and barriers [12][20]. Group 4: Academic and Technical Sharing - The salon featured discussions on the data gap in the robotics field, highlighting that training data for robots is 6,500 times less than that for large language models [13][20]. - Research from Shanghai Jiao Tong University introduced a novel instruction expression method that improves efficiency and generalization capabilities [15][20]. Group 5: Open Ecosystem and Collaboration - FCloud OmniBot emphasizes ecosystem development, welcoming partnerships from various stakeholders, including robot manufacturers and algorithm developers [18][20]. - The platform operates on a SaaS model, providing flexible access and special policies for students and individual developers to encourage participation [18][20]. Group 6: Future Trends and Prospects - The trend towards simulation-first development is becoming mainstream, with physical simulation seen as key to addressing data scarcity and reducing development costs [20]. - The integration of cloud-edge collaboration is essential for meeting the increasing complexity of robotic tasks [20]. - The continuous decline in computing costs and improvements in simulation technology are expected to lead to large-scale applications of embodied intelligence within the next 3-5 years [20][21].