OCP for KUKA.Sim

Overview

Automated motion planning inside KUKA.Sim

Extend KUKA.Sim with automated robot motion planning. byte robotics uses your digital task definition to find movements that account for cell geometry, robot kinematics and process requirements.

Built around your engineering workflow. The integration is designed for system integrators, machine builders and in-house automation teams that already plan robot cells in a virtual environment.

Evaluate alternatives earlier. When the layout, robot position or process requirements change, regenerate the motion and compare alternatives in your simulation environment.

Start with the right inputs. Planning requires a robot-cell model, relevant geometry, process positions and task constraints. We review the functions and output formats available for your software and robot combination against your application.

Take the result through to commissioning. Generated motion feeds into your simulation and programming workflow. Process checks, transfer to the controller and validation on the physical cell remain part of commissioning.

Already working with KUKA.Sim? Share your software version, robot model and intended task so we can assess how the integration fits your workflow.

Target Groups

In-house automation teams
Robot system integrators

Main Purpose

Automated programming
Cycle-Time Optimization
Optimize motion sequences
Prepare for commissioning
More efficient engineering

From task definition to motion you can evaluate

Define the task and robot cell

Specify geometry, process positions and motion requirements in KUKA.Sim. These inputs form the basis for planning.

Generate and optimize motion

byte robotics searches for feasible motion, accounts for collisions in the model and optimizes the sequence with cycle time in mind.

Review the result and put it to work

Evaluate the motion in your engineering environment. Refine the task where needed, then use the reviewed result for subsequent programming and commissioning.

Features

More flexibility in your KUKA.Sim workflow

Less manual path planning

Generate robot motion from the task definition and reduce repetitive programming steps.

Account for collisions in the model

Include geometry and obstacles in the search for suitable motion from the outset.

Optimize cycle times

Evaluate alternative movements with the performance of your robot cell in mind.

Assess changes sooner

Regenerate motion after layout or process changes and compare the results.

Build on existing data

Use the geometry and process information already available in your engineering workflow.

Start now!
Bring automated robot programming into your engineering workflow and reduce repetitive manual programming effort.

Spend less time programming robots. Spend more time designing better automation.

Discuss a demo
Funding & recognition

Supported on the path from research to industry.

Public funding helped us turn research into robust industrial technology. In 2023, the team behind byte robotics, then known as AuRora, won the Automotive cluster of the IQ Innovation Award Central Germany. Two awards in the Startup Competition – Digital Innovations followed in 2025.