Directions
Study of algorithms and AI.
Integration of computing and physical processes in manufacturing and logistics.
Researching and applying mathematical techniques to optimise and learn from data.
The National Laboratories coordinated by HUN-REN SZTAKI aim to strengthen domestic R&D and boost the competitiveness of the economy with innovative, world-class solutions.
The goal of this Platform is to support Internet-based economy and innovation by stepping into a new era of technology. Read more
Scientific cloud services for research projects. Read more
Scientific Data Repository for the Hungarian Research Community. Read more
In: ICAPS Workshop on Planning and Robotics (PlanRob2024), 2024.06.03, Banff.
Transactions of Nanjing University of Aeronautics and Astronautics, 41 (4)., pp. 403-431. ISSN 1005-1120
JOURNAL OF MANUFACTURING SYSTEMS, 77, pp. 384-397. ISSN 0278-6125
COMPUTERS IN INDUSTRY, 61 (2)., pp. 112-126. ISSN 0166-3615
In: PlanSIG 2007. Proceedings of the 26th workshop of the UK Planning and Scheduling Special Interest Group. Prague, 2007..
In: Gépészet 2010. Proceedings of the 7th conference on mechanical engineering. Budapest, 2010..
In: COLPAS`07: CP/ICAPS 2007 joint workshop on constraint satisfaction techniques for planning and scheduling problems. Providence, 2007..
Computers in Industry, 61 (2)., pp. 112-126.
In: MIM'07. IFAC workshop on manufacturing modelling, management and control. Budapest, 2007..
In: 43rd CIRP international conference on manufacturing systems. Sustainable production and logistics in global networks. Proceedings. Vienna, 2010..