Why robotics still fails in production — and what an “Autonomy Core” could change

We’re seeing rapid progress in robotics hardware and perception, but autonomy is still the bottleneck.

Most humanoid and service robots struggle not with movement or vision — but with reliability in real-world conditions:

• edge cases break flows

• recovery logic is fragile

• orchestration isn’t production-ready

• enterprise integration is painful

So the question is: what if autonomy becomes a separate software layer?

We’re exploring the concept of an Autonomy Core — a universal layer on top of ROS-like infrastructure that handles:

• hierarchical task execution

• real-time adaptation

• failure management

• integration with ERP/MES systems

The idea is to move from “demo robotics” → to >95% reliable repeatable operations.

Initial focus:

• lab automation

• industrial liquid handling

• warehouse tasks

Current stage: early prototype in simulation with basic orchestration + error handling already working.

Curious to hear:
👉 Do you think autonomy should be standardized like an OS layer?
👉 Or will it stay tightly coupled with each robot vendor?
👉 What’s the real blocker for robotics adoption in your experience — hardware or software?