OneRobotics Brings “One Brain, Multiple Embodiments” to Campus, with Acemate Becoming the Ultimate AI Teaching Assistant
Recently, Acemate, the AI tennis robot developed by OneRobotics, visited Beijing National Day School, bringing teachers and students an immersive embodied AI experience through the medium of tennis. Through real human-robot rally interactions, Acemate transformed the AI processes of perception, decision-making, and execution into an observable, participatory, and easy-to-understand campus practice scenario, enabling AI education to move from “classroom explanation” to “real-world experience.”
As an important application of OneRobotics’ “One Brain, Multiple Embodiments” strategy in the field of sports robotics, Acemate is not only the world’s first AI tennis robot, but also an extension and validation of OneRobotics’ proprietary AI brain, “OneModel,” in high-dynamic sports scenarios. Through visual perception, motion control, trajectory prediction, and real-time decision-making, Acemate completes the full closed loop from recognizing incoming balls and judging trajectories to moving autonomously to receive and return shots, demonstrating the interactive capabilities of embodied AI in the real physical world.
Previously, Acemate was selected for TIME’s “Best Inventions of 2025” list and was the only sports robot included, further validating its innovation and application value in AI-powered tennis training scenarios.
Acemate Opens a New “AI + Sports” Education Scenario
In most campus environments, AI education still largely remains at the level of classroom lectures, video demonstrations, and coding exercises. Students’ understanding of AI often comes from conceptual learning, with limited opportunities to interact with real intelligent agents. The introduction of Acemate provides campuses with a more immersive approach to AI education.
During the exchange at Beijing National Day School, the Acemate team from OneRobotics held in-depth discussions with the school on how AI education can move from concept to practice. Beijing National Day School has long emphasized students’ diversified development, continuously promoting the integration of club activities, physical education, and technological innovation practices, creating a strong foundation for new technologies to enter the campus.
The value of Acemate lies in its ability to transform abstract AI technologies into experiences that students can personally engage with. When students rally with Acemate, the robot uses its AI vision system to identify the trajectory of the tennis ball, while its intelligent decision-making system autonomously analyzes the situation and dynamically adjusts its strategy in real time, completing movement, ball receiving, and shot return entirely on its own. Behind what appears to be a simple tennis rally is, in fact, a complete embodied AI decision-making chain.
Validating “One Brain, Multiple Embodiments” Through Sports Scenarios
OneRobotics has long focused on building an embodied AI product matrix around home and real-life scenarios, forming a multi-form robotics portfolio that covers household services, sports and wellness, and intelligent companionship. As a representative sports robot within this portfolio, Acemate serves as a key validation platform for high-dynamic interaction scenarios.
Compared with static or low-speed environments, tennis places significantly higher demands on robots. High-speed target recognition, real-time trajectory prediction, motion control, timing judgment, and human-robot rhythm coordination all require stronger integration of perception, decision-making, and execution capabilities.
Acemate is equipped with a 4K binocular vision system, integrated with AI visual recognition algorithms and high-dynamic environment interaction algorithms. It can capture the trajectory, speed, and spin angle of the tennis ball in real time and accurately predict its landing point. Through its omnidirectional mobility structure, Acemate can move flexibly across the court while completing ball receiving, shot returns, and continuous rallies, offering users an interactive experience comparable to that of a real training partner.These capabilities not only enhance the fun and efficiency of tennis training, but also demonstrate the reusability of OneRobotics’ “One Brain, Multiple Embodiments” technology system across different robotic forms and application scenarios.
The value of embodied AI should not remain limited to laboratory demonstrations or conceptual communication. Instead, it should enter more real, high-frequency, and sustainable use scenarios. Moving forward, OneRobotics will continue to advance its “One Brain, Multiple Embodiments” strategy, bringing different forms of embodied AI products into homes, campuses, sports and wellness scenarios, and beyond.
Represented by Acemate, OneRobotics’ sports robotics products will continue to explore new models for integrating AI with sports education, enabling embodied AI to move from a “technology concept that is explained” to a real capability that can be experienced, applied, and deployed at scale.