2 posts tagged with "Robotics"

Autonomous systems are getting more capable and less legible. Machine learning models can perceive, classify, and optimize, but as capability grows, interpretability shrinks. In safety-critical environments, systems act faster than humans can understand why. Trait Machines address this by making autonomous behavior explicitly readable, auditable, and constrainable without discarding machine learning.

Programming a robot today means writing thousands of lines of tangled imperative code where every new condition doubles the complexity, hidden state transitions breed bugs, and documentation drifts from reality within weeks. .orb takes a different approach: declare machine behavior as composable traits with explicit states, guarded transitions, and structured effects.