AutoRobotics-Zero

Zero-shot adaptability: Policies adapt to sudden environmental changes without any fine-tuning at test time - a critical property for robust robotics.

Python-code policies: Automatically discovers Python code that implements robot controllers - an interpretable, auditable policy representation.

Discovery from scratch: Policies are discovered from scratch rather than fine-tuned from pretrained ones, reducing assumptions about prior knowledge.

AutoML for robotics: Extends the AutoML paradigm into robotics, using search over code rather than over neural architectures.