Project background:

In the context of Industry 4.0 and robots replacing manual labor, through the integration of smart devices, completing specific tasks in various scenarios has become a current research hotspot. The mobile grasping robot is divided into two parts: mobile and manipulator operation. At the same time, it integrates a variety of sensors to allow the robot to have the function of autonomous perception and planning. Complex systems put forward higher requirements for the intelligentization of products, such as the coordinated control of mobile robot path planning and manipulator trajectory planning, machine vision system and multi-sensor fusion, etc.

For different application environments, Wuhan Jingtian Electric has launched a variety of mobile grabbing systems that have been officially certified by ROS, have a full set of 3D simulation environment, software, hardware, and communication architecture. Users can quickly conduct related research work by selecting relevant solutions according to the application environment.

Introductory version of indoor teaching

The Turtlebot3 waffle-pi mobile chassis of ROBOTIS from South Korea is equipped with a handheld robot arm, a depth camera, and a deep learning processor TX2 to form an indoor mobile grabbing platform leek box. Students, educators, and R&D personnel can use the open source ROS platform to perform practical operations on the leek box. The supporting software has a one-key start function for various functions, which can be easily operated even by users without ROS and linux development experience.

Universal indoor version

The Dingo unmanned vehicle of Canadian clearpath company is equipped with vlp16 lidar and depth camera. The chassis is cost-effective, light and flexible, based on ROS development, and has two types of differential drive and 4-wheel omnidirectional drive to choose from. Robotic arm ROBOTIS company's openmanipulator-pro robot arm, two-finger gripper, users can carry various sensors on this basis for algorithm verification, fast and efficient mobile grasping.

High load omnidirectional indoor version

The load of the Ridgeback unmanned vehicle of Canada Clearpath Company can reach 100kg, and the robotic arm can be equipped with Risenco's baxter dual-arm collaborative robot or UR10e robotic arm for indoor handling and sorting tasks. It is suitable for experimental research on indoor heavy-load handling, intelligent transportation and loading and unloading.

Small indoor and outdoor version

The Jackal unmanned vehicle of Canadian Clearpath Company is fully equipped with industrial computer, ready to use, and the maximum speed of 20kg load can reach 2m/s. The car can travel indoors and outdoors without hindrance and is extremely cost-effective. The robot arm recommends the openmanipulator-pro robot arm or Kinova jaco from ROBOTIS in South Korea. On this basis, it is equipped with vlp16 lidar and depth camera, which can easily cope with common indoor and outdoor scenes.

Large industrial indoor and outdoor version

The Husky unmanned vehicle of Canada Clearpath is equipped with UR5e manipulator, two-finger gripper, vlp16 lidar, and depth camera from UR of Denmark. The industrial version is suitable for the simulation and verification of mobile manipulators in the actual industrial environment. With the full support of the ROS robot operating system, the algorithms in the scientific research field can be applied to the landing of actual industrial scenes.

Functional comparison table of mobile crawling solutions

√Representative standard

●Representative selection

Omnidirectional movement refers to the 4-round omnidirectional movement of the Mecanum wheel

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