RoboSapiens

WP1

Verified Design & Modelling for Adaptive Robotics (University of York & Partners)

Challenge

Robotic systems that use AI are hard to verify for safety, especially when they adapt during operation. Existing methods could only verify individual components – not the full system – leaving AI behaviour as a “black box”.

Our Tools

How it fits

WP1 provides the foundations that ensure RoboSAPIENS tools remain safe by design, verifying AI and robotic behaviour across the entire
MAPLE-K loop and feeding results into WP2, WP3, WP5, and use cases.

Progress so far

Impact & What’s Next

These methods enable rigorous, automated safety assurance for AI-enabled robots.
Next: broader automation of verification and rollout to additional RoboSAPIENS use cases and industrial users.

Technology, Tools & Architecture

RoboSAPIENS delivers the core technologies needed to make robots truly self-adaptive – reacting to change without sacrificing safety, trustworthiness, or performance.

Our research partners provide a complete ecosystem of tools that work together across the robot’s lifecycle:

WP1 ensures adaptation is correct by design through modelling and verification.

WP2 gives robots awareness – detecting uncertainty and anomalies.

WP3 keeps operations trustworthy in real time.

WP5 turns innovation into deployable robotic systems.

Together, these technologies enable robots that don’t just follow instructions – they think, assess, adapt, and stay safe.

From industrial assembly to maritime navigation, RoboSAPIENS is making autonomy more robust, scalable and human-centred.

WP2: AI for Monitoring, Detection & Adaptive Decision-Making

WP3: Runtime Trustworthiness Checkers

WP5: RoboSAPIENS Adaptive Platform & Tools