EU RIA: Robotic Safe Adaptation In Unprecedented Situations (RoboSapiens)

Period

January 2024 ~ December 2026.

Project Description

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: the robot must stay trustworthy, i.e. 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 stays 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. RoboSAPIENS will also transform these foundations into 'first time right'-design tools and robotic platforms, and will validate and demonstrate them up to TRL4.

More details please visit the official website.

Our Task

We are the case study owner of "autonomous ship motion prediction". Estimating the motion of the ship in the immediate future, either from a dynamic model, or a data-driven one using adequate historical data, could support autopilots and thus improve the safety of autonomous ships. However, deploying the prediction system to new ships without enough prior knowledge of their dynamic behavior deteriorates navigation capability, especially in the presence of environmental uncertainties including wind, currents and waves. Identifying model parameters via sea trials or collecting the needed data for ship motion modelling will take a relatively long time. In this case-study, we therefore leverage the dynamic model from a reference ship and the limited available data from the target ship to build up a transferrable model that can represent the target ship motion. The plan is to take the Gunnerus research vessel as a case study of the self-adaptation of a representative model for motion prediction to ensure safe ship motion prediction.

Upcoming event

Robosapiens Plenary Meeting at NTNU i Ålesund, 18~20 June. Please see more infomation here, and the information about how to reach NTNU Ålesund Campus..