
Basic data
- Industry
R&D&I 2020 PROJECTS. RESEARCH CHALLENGES. Ministry of Science, Innovation and Universities
Learning, Optimal Control and Planning under Uncertainty in Industrial Applications
R&D&I 2020 PROJECTS. RESEARCH CHALLENGES. Ministry of Science, Innovation and Universities
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.
Sala Piqueras, Antonio
Catedrático/a de Universidad - PDI
Ai2