SHANGHAI-BASED Robotics startup AgiBot has reached a key milestone by successfully deploying its Real-World Reinforcement Learning (RW-RL) system in a manufacturing pilot with Longcheer Technology. This marks the first application of such AI on an active production line, signaling a new phase for intelligent automation in precision manufacturing. Traditional automation is often rigid, requiring complex fixtures, extensive tuning, and costly reconfigurations. Even advanced solutions face challenges with sensitivity and long deployment times. AgiBot's RW-RL system directly addresses these issues by enabling robots to learn and adapt on the factory floor. The company reports that its robots can now acquire new skills and achieve stable performance in just tens of minutes. This approach minimizes hardware adjustments and standardizes deployment during product changes, dramatically improving flexibility while reducing time and cost. Looking ahead, AgiBot and Longcheer plan to extend RW-RL to more scenarios in consumer electronics and automotive components. The focus is on creating modular, rapidly deployable solutions that integrate seamlessly with existing systems. In another effort to simplify robotics, AgiBot recently launched LinkCraft, an application that uses video to train robots, significantly reducing the programming expertise required. (SD-Agencies) | 