Integrated control for automating highly difficult work

The COBOTTA PRO supports the CRC9, based on the RC9 robot controller. Like the RC9, the CRC9 provides integrated equipment control and an integrated development environment. In addition, it can be combined with Denso Wave’s 3D vision as well as general-purpose AI software to automate manual tasks that would be highly difficult to accommodate using conventional methods.

CRC9: Ideal for
cell production systems
Open
development environment
Technologies and products
that achieve highly difficult work

The CRC9 robot controller, ideal for cell production systems

The CRC9 robot controller, exclusively designed for COBOTTA PRO, provides integrated equipment control. It automates complicated manual work such as assembly and inspection tasks. Moreover, it can be deployed in a small space, eliminating the need for significant changes to existing manufacturing lines.

CRC9 system architecture

Example system architecture with integrated equipment control

Open development environment

A key feature of the CRC9 robot controller, which supports the COBOTTA PRO, is its open development environment. In the past, functions could only be implemented within the scope of the robot manufacturer's development environment, which made it impossible to implement functions in the real-time layer. By contrast, the CRC9 allows not only the manufacturer but also users and system integrators to develop in the same environment, broadening the range of applications that can be automated.

Learn more
about the RC9’s features

Technologies and products that accommodate highly difficult work

Arm with built-in force sensor

The arm incorporates a force sensor, allowing a more compact design for the hand and surrounding hardware. Force control is possible with the compliance function and a force sensor.

Compliance Control Function
with Force Sensor

2D/3D object recognition

We offer the Mech-Eye series of multifunctional 3D vision products and EVP2 (Easy Vision Picking 2), a 2D vision software designed explicitly for pick-and-place applications. In addition to conventional rule-based recognition, the Mech-Eye series realizes more accurate object recognition by utilizing deep learning.

Mech-Eye series

EVP2