You define the task, geometry and process requirements. byte robotics searches for motion that meets those requirements, making motion planning a repeatable engineering step as the cell concept evolves.
Robot motion has to fit the cell geometry and process requirements. Tools, fixtures and obstacles all influence which movements are possible.
A model with explicit prerequisites. Planning uses the supplied geometry, kinematics and process definition. Support for specific robot models and additional axes is assessed within the selected integration.
Account for collisions during planning. The motion search includes modeled obstacles. The reliability of the result therefore also depends on the quality and completeness of the cell model.
Optimize in the context of the process. Reaching a position is only part of a production sequence. Alternative movements are evaluated against process requirements and cycle time.
The engineering environment provides geometry, the robot model, process positions and constraints. The completeness and quality of these inputs establish the basis for planning.
Planning searches for motion that fits the robot kinematics and task, taking obstacles and specified constraints into account.
Suitable movements are evaluated and improved with cycle time in mind. Your team can review the result and compare alternatives.
Motion is passed on in the format supported by the integration. Transfer to the controller and checks on the physical cell follow as part of engineering and commissioning.
Find answers to the most important questions about byte robotics, integrations and automated robot programming.
byte robotics generates and optimizes robot motion from a digital task definition. Planning accounts for geometry, robot kinematics and the specified process requirements.
Your team defines the process and reviews the result. Available program formats depend on the integration and target system. Validation on the physical cell remains part of commissioning.
byte robotics adds automated motion planning to your engineering environment. The integrations for Visual Components, KUKA.Sim and iiQWorks.Sim build on your existing simulation and programming workflow.
Planning uses the robot cell, relevant geometry, process positions and constraints. We review the requirements for your software version before you get started.
Our technology is designed to address different robot kinematics and manufacturing tasks that can be described digitally. Suitability depends on the robot model, process requirements, available data and selected integration.
Share your engineering environment, robot model and task with us. Together, we can assess the prerequisites and a suitable starting point. Collision checks depend on the geometry provided and how it is modeled.
byte robotics Headless provides the planning and optimization technology as a software component. Your application supplies the task and robot data, then consumes the generated motion.
We agree on interfaces, data formats, deployment and licensing in the context of your architecture and application. A description of your product and intended workflow is a useful starting point.
The software automates the search for suitable robot motion and its optimization. Your team can evaluate sequences in the virtual environment and regenerate them when requirements change.
The effort saved depends on the task, data quality and existing workflow. A demonstration based on your application helps establish the potential.
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.
