PORTAL301 provides user-friendly robotic control systems that utilize expert motion data to enable non-experts to configure and control industrial robots with simple gestures. The technology addresses the challenge of making robotic automation accessible to workers in sectors like nuclear power plant decommissioning and powder coating, facilitating seamless adaptation to low-volume production.
Funding
Funding not disclosed
Founders
Product
Problem
Programming and controlling industrial robots typically requires specialized expertise, making automation inaccessible to workers without extensive robotics training. This complexity hinders the adoption of robotic solutions in sectors requiring adaptability and low-volume production runs.
Solution
PORTAL301 offers user-friendly robotic control systems that leverage expert motion data, enabling individuals without specialized knowledge to configure and control industrial robots through intuitive gestures. The system synchronizes robot movements with the user's actions, simplifying the programming process. By visualizing automated workflows through motion teaching, simulation, and auto-execution features, PORTAL301 facilitates the seamless integration of robotic automation in diverse sectors, including nuclear power plant decommissioning and powder coating. The technology promotes effortless robot control and adjustment, making robotic automation more accessible and adaptable to low-volume production environments.
Target Audience
The primary target audience includes workers in industries such as nuclear power plant decommissioning and powder coating, as well as businesses seeking to implement robotic automation in low-volume production settings.
Features
- Gesture-based robot control for intuitive programming
- Synchronized motion control that mirrors the user's actions
- Automated workflow visualization through motion teaching and simulation
- Support for Universal Robots (UR) via Python-based remote control interface
- Tutorials and repositories providing sample code and guidance
- Compatibility with URCaps grippers, IO-controlled conveyor belts, and IO photo sensors
- Integration with robot vision systems for advanced automation tasks