Process Simulate X Automatic Path Planner

Boost your capabilities by extending your Process Simulate X software using the Automatic Path Planner add-on, which allows you to customize Process Simulate X to fit your project's unique needs.

Process Simulate X Automatic Path Planner is a powerful add-on application that helps you create collision-free paths automatically for product assembly or disassembly and robotic welding to reduce process planning time for complex assembly and manufacturing operations involving tools, people and robots.

Key features and benefits

Plan collision-free paths
Use advanced algorithms to easily remove collisions in motion paths that otherwise can be a tedious and skill-intensive process. Achieve high accuracy and find solutions in minutes for paths compatible with all types of operations that include approach and departure locations for safety and maintenance.

Reduce cycle time
Explore thousands of possibilities to optimize robotic motions, update poses, speeds, and accuracy zones, and create fast and smooth operations.

Reduce energy consumption
Use genetic algorithms to optimize robotic trajectories for energy efficiency, reducing energy consumption by up to 37% (based on customer data).

RRS connection for all major robot vendors
Use paths created by the Automatic Path Planner to simulate motions for all major brand robot controllers in Process Simulate, based on the realistic robot simulation (RRS) protocol.

About Process Simulate X

Process Simulate X is a software-as-a-service (SaaS) solution with extensive digital manufacturing capabilities for planning, simulating and validating human tasks, robotics processes and automation in a 3D environment with the added benefits of flexibility, security and scalability of a cloud-based software.

The streamlined software deployment and configuration enables higher productivity and immediate expansion of your manufacturing capabilities. The cost-effective and customizable Process Simulate X software products are tailored for different levels of digital manufacturing complexity.