Core Viewpoint - The development of intelligent table tennis serving robots is evolving from simple machines to more sophisticated AI coaches, aiming to provide personalized training experiences similar to that of a human coach [1][10]. Group 1: Market Dynamics - The cost of using serving robots is significantly lower than that of human coaches, with prices for robot sessions around 80 yuan per hour compared to 150 yuan for human coaches, making them an attractive option for users [3]. - The market for serving robots is expanding, with a notable increase in consumer demand, as evidenced by over 50% of orders coming from individual users rather than educational institutions [8]. Group 2: Technological Challenges - Current serving robots primarily utilize a modular architecture, which presents challenges in real-time data processing necessary for the fast-paced nature of table tennis [5][6]. - The transition from basic functionality to a more intelligent system requires advancements in sensor technology, algorithms, and strategy mechanisms, which are still under development [6][10]. Group 3: Future Prospects - The potential for a generalized "sports ChatGPT" model exists, but significant engineering challenges remain, including the integration of multi-modal data (image, action, language) and overcoming computational delays [9]. - The global market for tennis serving machines is projected to grow from $27.4 million in 2024 to $40.3 million by 2035, indicating a broader market opportunity for similar technologies in table tennis [9].