Teaching programming for robots is primarily achieved by manually guiding industrial robots, but this method requires the robot’s physical presence and cannot simultaneously teach different parts. The advent of MR (Mixed Reality) technology enables virtual robot teaching programming for parts without the need for a physical robot, significantly improving robot utilization efficiency.
iRobotCAM has developed the MR Trajectory Teaching Technology to address this application need, enabling efficient online teaching trajectory generation without requiring offline programming software. So, what advantages does this technology offer?
- Compatible with various MR devices: It can adapt to the precision requirements of specific user scenarios, supporting MR devices such as Microsoft Hololens, HTC Vive, and Apple’s VisionPro.
- Support for robots from different manufacturers: Provides post-processing programming capabilities and supports various robot manufacturers.
- Covers most robotic processes: Meets the application requirements for robotic welding, polishing, cutting, and more.
Taking the robotic polishing of impellers as an example, we can examine how the MR trajectory teaching technology is implemented step by step.
After wearing the MR device, the user aligns the physical-world workpiece model with the virtual robot
- By utilizing the MR teaching technology of iRobotCAM, it is possible to obtain the teaching path of physical-world workpiece models
- The obtained teaching-programmed points or lines can be output as robot execution files
- Robots in the physical world can execute files from MR virtual teaching programming and process them according to the corresponding teaching programs
Regarding Nanjing Yueqing Information Technology Co., Ltd
Nanjing Yueqing Technology is dedicated to building an open iRobotCAM embodied intelligent robot design and simulation platform, serving as an integrated solution for embodied intelligent design, electromechanical design, offline programming, and virtual commissioning.
iRobotCAM website: www.iRobotCAM.com, Contact email: cooperation@iRobotCAM.com
