In addition to classic parallel configurations such as 2-axis, 3-axis, and 3+1, it also supports 5-axis and 6-axis serial-parallel mixed models and stewart platforms.

By fitting the trajectory with a spline curve, memory tracking of complex teaching trajectories can be achieved.

Through speed look-ahead technology, a smoother speed curve can be obtained. Even in situations where the acceleration changes frequently, a smoother speed curve can still be obtained, thereby improving the operation efficiency of the robot.

By directly holding and pulling the robot, the posture data of the teaching process can be recorded, and the robot application tasks can be taught in an intuitive way.

The vibration suppression algorithm can effectively reduce the mechanical vibration caused by the robot's high-speed sudden stop, thereby improving the positioning accuracy of the robot under high-speed operation.

In addition to the main body, multiple external servo axes can also be controlled to perform multi-axis linkage independently or synchronously with the robot.

With the support of robot vision or encoders, objects moving along straight lines or arcs can be grasped and released in a follow-up manner.

Provides palletizing algorithm, inputs palletizing configuration to automatically generate motion trajectory to improve efficiency.

Connect the IoT module and remotely observe the current operating status of the device via your mobile phone.

Soft PLC是除了通过在Hmi界面输入命令之外，与用户交互的另外一个接口。用户通过Soft PLC可以进行PLC编程，管理和控制控制器上连接的IO。

The object information is obtained through vision, and a motion relationship is established between the robot and the disc conveyor belt to track the motion trajectory of the object on the disc in real time.

By setting the working area and prohibited area to avoid unexpected situations such as collisions, the control system will monitor the robot's working space in real time, and control the start and stop of the manipulator based on the relationship between the monitoring areas.