2025企创融通汇具身智能机器人核心部件专场活动圆满闭幕

Core Insights - The event focused on "core technology breakthroughs in embodied intelligence" and attracted over 135,000 online viewers, indicating strong interest in the field [4][29]. - The Chinese Association for Science and Technology aims to enhance the integration of embodied intelligence technology across various sectors, including manufacturing and healthcare, to foster new productive forces [7]. - The event highlighted the importance of autonomous breakthroughs in core components as foundational for building an embodied intelligence industry ecosystem [9]. Group 1: Key Presentations - Jiang Lei discussed the need for the robotics industry to move away from the old model of hardware and software separation, emphasizing the importance of low-cost solutions through digital infrastructure [12]. - Li Wei addressed the challenges faced by agricultural robots, particularly in unstructured environments, and the necessity for embodied intelligence to meet market demands [14]. - Wang Xihong presented on the advancements in high-power density motors, suggesting that innovations in core technologies could significantly enhance industrial competitiveness [18]. Group 2: Collaborative Efforts and Agreements - Experts reached a consensus on establishing a core component technology alliance to tackle key areas such as motors and sensors [34]. - The event facilitated the signing of contracts for 18 outstanding solutions, marking a significant step in transitioning embodied intelligence technology from laboratory settings to industrial applications [31]. - The emphasis was placed on creating a synthetic data sharing platform to reduce training costs for embodied intelligence systems [34]. Group 3: Future Outlook - The event underscored the potential of embodied intelligence to integrate deeply into various industries, becoming a crucial driver of new productive forces [35]. - The vision for the future includes breakthroughs in motor efficiency and seamless integration of physical and digital worlds, leading to a new era where machines better understand the world and humans [35].