A closer look at RoboSAPIENS
RoboSAPIENS will develop the underlying technologies which enable robots to fully autonomously adapt their controllers and configuration settings to accommodate for unknown changes, such as, physical changes in the robots themselves, changes in the robot’s mission or changes in their collaborating environment, while ensuring trustworthiness.
Main goals
The robots of tomorrow will be endowed with the ability to adapt to drastic and unpredicted changes in their environment including humans.
Such adaptations can however not be boundless since the robot must stay trustworthy, the adaptations should not be just a recovery into a degraded functionality.
Instead, it must be a true adaptation, meaning that the robot will change its behavior while maintaining or even increasing its expected performance, and stay at least as safe and robust as before.
RoboSAPIENS will focus on autonomous robotic software adaptations and will lay the foundations for ensuring that such software adaptations are carried out in an intrinsically safe, trustworthy and efficient manner, thereby reconciling open-ended self-adaptation with safety by design.
Key objectives
The project is all about teaching robots to change their behavior in smart, trustworthy ways. To do that, it focuses on four main goals:
Real Adaptation, Not Just Damage Control
Robots should be able to adjust to new situations—even ones nobody planned for—without humans stepping in. Think of a warehouse robot suddenly facing a blocked path and figuring out a new safe route on its own.
Safety Every Step
of the Way
It’s not enough for a robot to start safe. It has to stay safe before, during, and after any adaptation. No risky shortcuts.
Smarter Decisions with Less Guesswork
They’ll use advanced AI (like deep learning) not just to act—but to reduce uncertainty. In other words, make better, clearer decisions instead of guessing.
Building Trust in
AI-Powered Robots
People need to trust robots that use complex AI. That means proving that even when they adapt, they stay dependable, safe, and accountable.
Work areas
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