2results about How to "Easy to optimize configuration" patented technology

This invention discloses a machine learning-based intelligent driving behavior method. It acquires basic data, including driving behavior data from real-world road scenarios. Based on this data, it calculates feature vectors for each driving scenario. Then, based on these feature vectors, it uses a reinforcement learning algorithm to select driving scenarios. Finally, it generates driving behaviors within these scenarios using the same reinforcement learning algorithm. Finally, it updates the strategy to obtain the optimal model. This method aims to optimize the environmental perception and decision-making capabilities of the intelligent driving system, thereby improving its adaptability and reliability in real-world driving scenarios.

The present application relates to the field of numerical control machine tool, specifically, a kind of full-automatic multi-process synchronous machining composite numerical control machine tool, it includes machine tool body, machine tool body includes processing table, three-jaw chuck for clamping the workpiece to be processed is rotationally arranged at processing table, annular mounting plate is rotationally arranged at the periphery of three-jaw chuck at processing table, annular mounting plate can move in horizontal plane, at least 3 tool driving motors are arranged at annular mounting plate, the rotating shaft of tool driving motor is provided with tool for processing workpiece, the tool at each tool driving motor is not identical;Tool driving motor can move along the radial direction of annular mounting plate to make tool process workpiece.The present application can work synchronously or continuously by multiple groups of different tools on annular mounting plate, without transferring workpiece between multiple devices, reduce the time of workpiece loading and unloading, handling and repositioning, greatly improve the overall efficiency of multi-process machining.