Upgrade the accuracy of robots effortlessly with Cognibotics calibration and accuracy add-on.
Featuring built-in elasticity compensation and support for external axes, Cognibotics unlocks the full potential of your robot mechanics.
With accurate robots, the industry can increase productivity by minimizing time spent on touch up, setting up sensor systems and using robots for more applications.
Cognibotics calibration package includes equipment and software to efficiently perform elasto-kinematic calibration of industrial robots of all kinds, also including external exes.
Packages with sensor hardware included:
Cognibotics calibration arm for robot only
C-track for calibration of robot and external exes
Our calibration software also supports the most common third-party measurement systems.
Cognibotics accuracy add-on uses a parameter key from Cognibotics calibration to accomplish robot accuracy for all major robot brands without special interface requirements. Two versions are available:
Post processor; applicable for invariable robot programs
Online processor; applicable for programs relying on position data collected at runtime
The accuracy add-on is based on Cognibotics real-time performant elasto-kinematics module. When full system access is granted, the module can also be integrated into the robot controller or application software.
Accurate robots are easier to integrate and deploy which speeds up the installation and makes the process more predictable.
Accuracy is important when creating paths or sharing position information with other systems
In order to meet the needs of future production, it is essential to have manufacturing equipment that is both cost-effective and flexible.
The answer lies in utilizing highly accurate robots as multi-process machines.
Operational reliability is essential in complex automated production, it minimizes downtime and enables continuous production.
While industrial robots are renowned for their reliability, it is important to recognize that they are not immune to wear and incidents.
The affordability of robots, in contrast to specialized machines, presents a strong motivation for processes that require a flexible and extensive workspace. However, the overall accuracy of the robot system, which includes positioners and linear tracks, is commonly impeded by the mechanical structure and its lack of stiffness, thus acting as a significant constraint.
To utilize robots for cost-effective and flexible production, even for small batch sizes, it is critical to attain the required level of accuracy.
Identifying and compensating for mechanical imperfections in the system, and elasticities throughout the robot structure is crucial.
Robot accuracy closes the bridge between the real and the digital world. Modern tools give great possibilities to design and test robot cells digitally, typically using a digital representation of a nominal robot.
For commissioning on the real setup to work smoothly, the real robot should behave like its twin, which is only the case if the robot is accurate.
With accurate robots, process programming results in generally applicable programs, which can be used on various robot individuals and cells without major touch up.
Despite regular robot maintenance, it is hard to detect problems before they occur and cause more costly production failures. By integrating robot diagnostics in the production cell, robot component issues can be detected before they affect the process performance.
Issues requiring service or repair risk modifying the robot motion, leading to time-consuming program adaptations. With Cognibotics robot recovery tool Flexclamp, the deviations are identified and automatically mitigated. Built-in reliability for consistent high-quality production.
Articulated robots are typically inaccurate due to mechanical imperfections combined with a structure where small errors add up, and a control system using a very simplified model of a robot as default.
The unique competence of Cognibotics lies in the ability to create superior mathematical models to describe the imperfections and deflections in robot mechanics.
Those models are a much better representation of the real robot and are usable within the real-time cycles of a robot controller.