Core Viewpoint - The article discusses the emergence of a new industrial revolution driven by AI, particularly focusing on the development of embodied intelligence and its potential to solve last-mile delivery challenges in logistics [5][10]. Group 1: Company Overview - Liu Dong, the founder of Xingyuan Intelligence, previously worked at JD Logistics, where he identified the last-mile delivery problem that existing automated solutions could not address [5][18]. - Xingyuan Intelligence recently completed a 200 million yuan angel round of financing, with investments from various venture capital and industry players [9][14]. - The company aims to develop a "general embodied brain" that can enhance the capabilities of robots in logistics and delivery [12][20]. Group 2: Technical Approach - The company has chosen a layered architecture for its embodied intelligence system, separating the "brain" responsible for perception and planning from the "small brain" that executes actions [12][22]. - Liu Dong believes that the current industry lacks a low-cost method to obtain real machine data, making pure end-to-end models impractical at this stage [11][23]. - The layered approach allows robots to start working and accumulate data, which can later be used to train more advanced models [23][24]. Group 3: Market Strategy - Xingyuan Intelligence operates a dual-track business model, acting as both a Tier 1 supplier providing integrated solutions to robot manufacturers and a contractor offering complete robotic solutions to end customers [14][30]. - The company focuses on specific scenarios such as picking robots for supermarkets and pharmacies, which are seen as the fastest to implement and generate revenue [36][42]. - The pricing strategy for their robotic solutions aims to keep costs low, making it attractive for clients to replace human labor with robots [38][39]. Group 4: Commercial Viability - The company has identified clear revenue growth paths and market opportunities, with expectations for picking robots to be operational by next year [45][46]. - Liu Dong emphasizes that the ability to implement solutions in real-world scenarios is crucial for the survival and success of the company [13][46]. - The company plans to leverage its technology to address various applications, including navigation and inspection, which can quickly lead to revenue generation [43][44].