News
Member Since 2012
OCTOPUZ is intelligent offline robot programming and simulation software ideal for an application. OCTOPUZ took a revolutionary approach to robotic programming by combining the offline programming of robots with a manufacturing process simulation, perfect for tech AND sales teams. Contact us for a free, online demonstration tailored to your unique application. About OCTOPUZ Headquartered in Waterloo, Ontario, OCTOPUZ provides offline robot programming and simulation software for businesses of all sizes, from small shops to global corporations. Our focus is to provide a robotic software solution that not only enables companies to reach a higher level of efficiency with their processes but that also opens opportunities for them to enter new markets and expand their business potential . Our business was built on the concept of taking complex robotic programming and making it easy.
Content Filed Under:
Industry:
N/A
Application:
N/A
OCTOPUZ: Under the Surface Complex Welds Simplified
POSTED 04/22/2021
OCTOPUZ: Under the Surface Complex Welds Simplified
Manufacturers are constantly looking at ways for increasing output. However, they are faced with labor shortages, reduced time to market, and high cost of robot downtime.
What if we told you there is a better way? Simulation and offline programming software have continually advanced since inception. Offline Robot Programming (OLRP) is making the integration of robot systems more cost-effective, easy to deploy, and scalable. By programming industrial robot functions in a virtual environment, you can reduce robot downtime, loss of revenue, decrease programming time, and eliminate the need to purchase multiple software programs.
OCTOPUZ OLRP enables you to program complex robot operations within your virtual cell. You can simplify toolpath programming, automatically detect and avoid errors, program, and post-multi-robot cells all in one single platform.
Join us as we take you under the surface of OCTOPUZ. We will share how your complex welding programs can be simplified with OLRP.