Home   >   Projects   >   LOCPU

LOCPU

Learning, Optimal Control and Planning under Uncertainty in Industrial Applications

Field
National
Date
01/09/2021 - 31/08/2024
Industry
  • Industry
Budget
Funded by

R&D&I 2020 PROJECTS. RESEARCH CHALLENGES. Ministry of Science, Innovation and Universities

Website
Video

PROJECT INFORMATION

DESCRIPTION

The objective of this project is to improve the scope and applicability of planning techniques in industrial systems (production scheduling, robot trajectories, etc.) by including as many low-level physical models as possible and guiding real-time optimization using nonlinear predictive control, in different scenarios and with dynamic programming value function estimates.

The objective of this project is to improve the scope and applicability of planning techniques in industrial systems (production scheduling, robot trajectories, etc.) by including as many low-level physical models as possible and guiding real-time optimization by nonlinear predictive control, in different scenarios and with dynamic programming value function estimations.

Contact information

Sala Piqueras, Antonio
Catedrático/a de Universidad - PDI

Ai2

Technological capabilities

Robotics
Task automation