Why a Physical AI Workflow Engine Matters
Traditional workflow tools were built for web requests, not robots moving through the physical world. Cyberwave provides a workflow engine built for robots and physical systems, with first-class concepts for spatial layouts, robot capabilities, safety envelopes, and mission objectives.
What Cyberwave Provides
- Workflow graph that can use LLM-based planning where it adds value, but always executes through deterministic, guarded steps.
- Spatial and temporal awareness so tasks respect routes, zones, timing windows, and resource contention.
- Cross-fleet coordination that lets heterogeneous robots, sensors, and fixed automation collaborate on shared missions.
Impact
Teams move from one-off scripts to reusable workflows that can be rolled out across facilities, adapted by AI, and continuously improved with real-world feedback. Operators gain a single place to see which workflows are running where, how they are performing, and where to intervene. When connected with Computer Vision, detections from cameras and sensors can directly trigger and adapt end-to-end workflows.