No-Code Teaching Framework
Botfellows RobCraft
RobCraft makes robot programming more accessible through Physical AI-ready no-code workflows, AI/CV process skills and sensor-guided teaching. It helps users create process-compliant robot trajectories, not just robot paths.
No-Code Robot Teaching
Process-aligned Automation
AI-CV Process Skills
RobCraft reduces complex robot programming effort with intuitive no-code robot teaching, AI/computer vision and 2D/3D sensor-guided workflows. Users can generate process-aligned robot trajectories faster for complex geometries, variable parts and low-volume industrial production.
RobCraft uses 3D cameras or laser scanners to scan the actual workpiece and detect process features such as surfaces, edges, weld seams, contours, inspection areas or dispensing paths. Its Physical AI-ready process intelligence helps adapt robot trajectories to position tolerances, geometry deviations and batch-to-batch manufacturing variations.
RobCraft makes robot motion process-aware, not just executable. Instead of only optimizing joint motion, cycle time or collision-free execution, RobCraft generates trajectories that comply with real process requirements, workpiece variations and quality targets.
RobCraft is crafted with process intelligence for flexible industrial robot automation. Its process-specific RobSkills support robotic polishing, deburring, welding, spraying, painting, inspection and adhesive dispensing. This enables manufacturers, system integrators and production teams to deploy different robot applications with one scalable no-code teaching framework.
Smart Safety Solution
Botfellows Dynamic Safety
Botfellows Dynamic Safety enables robots and humans to work side by side with adaptive monitoring, advanced sensing and flexible safety control.
Smart Sensor Technologies
AI-Powered Perception
Production Flexibility
Dynamic Safety supports close collaboration through adaptive monitoring and smart safety logic instead of rigid separation.
Minimum safety distances are continuously calculated and monitored during operation, keeping systems efficient and responsive.
Dynamic Safety helps production cells react more flexibly to changing tasks, workspaces and interaction scenarios without relying only on fixed safety barriers.
By adapting safety reactions to the actual situation, systems can remain productive while still supporting safe collaboration between humans and robots.
Safety Framework
Botfellows SafetyTwin
Safety Twin is a modular machinery safety framework for dynamic risk assessment, safe application monitoring and AI-supported planning across evolving production environments.
Dynamic Risk Assessment
Safe Application Monitoring
AI-Powered Toolset
Safety Twin helps teams adapt more quickly when layouts, tasks, products or robot trajectories change. Applications can be reassessed in a more structured and efficient way.
Safety Twin supports earlier and more proactive safety assessment during planning, helping identify issues before they become expensive corrections.
Safety Twin makes commissioning more efficient and safe by reducing engineering effort, accelerating validation and improving deployment readiness.
The framework helps teams document, review and improve robotic safety concepts over time, especially when production environments evolve.
