Research on Motion Control and Trajectory Planning Algorithm of Mobile Manipulator Based on Deep Learning

With the further development of industrialization and the expansion of the application field of robot technology, the manipulator fixed in a certain position can no longer meet the new requirements. In many unstructured working environments, the robot arm with a fixed base can’t complete the task well. At this time, the robot arm needs to be mobile, and the mobile robot arm can meet this demand. The core of the mobile robot arm is mainly composed of two parts, one is the upper part of the robot arm, and the other is the mobile chassis at the bottom. The mobile manipulator not only retains the flexibility of the manipulator, but also has a chassis that can move freely, which greatly expands the working range of the manipulator in space. Therefore, mobile manipulator has a good application prospect in industrial manufacturing, national defense, transportation, warehousing and logistics, service industries and other fields. With the rapid development of e-commerce and online shopping in China, more requirements are put forward for the automation and high efficiency of warehousing and logistics, and mobile robot arm is an excellent choice for warehousing and logistics industry. Therefore, no matter in scientific research or practical application, in-depth development is of great significance to its research and development.