New Standards for Robot Vision
VT (Visual Teach) is a groundbreaking software that allows teaching using actual point cloud data as a master. By teaching the arm movements for a workpiece that has visual information registered as a master, it enables the robot to follow movements even if the position or posture of the workpiece changes, by correcting the robot's reference posture (coordinates). Traditional robot teaching involved setting up some form of positioning equipment to prevent the workpiece from shifting, while teaching path instructions through jog movements using a teaching pendant. VT was developed with the aim of providing a vision system that allows the robot to be driven primarily by the robot side. This enables robot system integrators to continue integrating systems using teaching pendants as before.
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basic information
(1) "VT-Visual Teaching" (a) All basic operations are performed using the teaching pendant, with minimal PC operation required. Path generation is carried out using the traditional jog operation of the robot. (b) During playback, fine adjustments of the taught positions can be made using jog operation via the teaching pendant. (c) The YCAM3D is equipped with a bandpass filter that only allows wavelengths from self-luminous light sources, making it less susceptible to ambient light. Therefore, it can operate stably even in environments with sunlight streaming in, as long as it is within a factory. (d) After robot calibration, system construction can be performed using teaching operations with the teaching pendant without being aware of the camera's presence. There has been no robot vision system based on such concepts until now, and a patent application has been completed. (2) Arm-mounted 3D Vision Sensor "YCAM3D" The YCAM3D is a 3D vision sensor for robotic arms that achieves low cost while being compact, lightweight, and high precision. It outputs position information of objects with high accuracy due to its unique compact high-output projector and the adoption of a stereo phase shift method. It has achieved the world's smallest and lightest 3D vision sensor using the phase shift method.
Price information
List price: 2,500,000 yen (excluding tax)
Price range
P5
Delivery Time
P4
Applications/Examples of results
<Achievements> Customer: Automotive parts manufacturer (has experience of giving up after trying to detect workpiece position/pose deviation accurately with a 2D camera in a project). Application: Performing depalletizing of aluminum castings (7 types, maximum: 15kg) stacked in a mesh pallet using a robot. Workpiece condition: The orientation is the same direction but not positioned. The robot hand's shaft is inserted into three holes on the workpiece surface, clamped, and then transferred to the next process. The clearance of the holes on the workpiece surface is about 0.5mm. Implementation effects: Reduction in implementation man-hours and peripheral equipment costs, currently operating smoothly. Future potential: Visual teaching will not be custom-developed for specific applications but can be utilized for various robot applications (assembly, welding, deburring, painting, depalletizing/palletizing, etc.). Currently, it functions as a standalone application, but in the future, it will integrate with (CAD/CAM) → offline teaching (automatically generating optimal robot trajectories) → robot (correction via visual teaching), achieving ideal zero-stop full automation.
Line up（1）
| Model number | overview |
|---|---|
| YCAM3D/VT | General-purpose 3D robot vision system "VT-Visual Teaching" |
catalog（2）
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Company information
【Products】 - Robot Vision System YCAM3D/VT (Visual Teaching) - 3D Vision Sensor YCAM3D - Brinell Hardness Reading Device YCAM-BR - Dizziness Testing System yVOG-Glass 【Technology】 - Image Processing - 3D Measurement - AI Recognition - Robot System Integration