Simulation-based and HPC - enabled in silico training, optimization and evaluation of AI-embedding robotic systems
Service Description
In silico training and optimization: the customer will specify an architecture for software controllers for robotic systems, which will then be deployed in concurrent simulations for e.g., training through reinforcement learning or optimization through genetic algorithms.
Performance evaluation of AI-based controllers for robotics based on virtual testing environment: the system provided by the customer, for instance a robotic device using an AI module in closed loop with sensors and actuators for sensorimotor control purposes, will be tested using a simulated environment with sufficient physical realism.
Method Description: The Neurorobotics Platform (NRP) is a simulation framework for implementation of highly modular, physically realistic simulations, with a focus on robotics. It also supports the execution of such simulations in the context of an online service on EBRAINS, and can be used in conjunction with standard RL or optimization frameworks. It enables the design, functional evaluation and (at the end of TEF-Health) certification activities for robotic systems, including those with AI modules embedded.
Method reference: To be refined depending on the type of task. Either ISO references, scientific literature, work done by WP7, or metrics designed by the TEF-Health consortium.
Provider & Contact
The full price is a first approximation, as it depends on the personnel involved.
Discounts will range from 20% to 100%, to be agreed upon.