Authenticity of documents and country-specific requirements in doctoral admissions
Information for doctoral applicants for demonstrating the authenticity of their application documents
Artificial Intelligence (AI): the AI Act and AI literacy at Aalto University
The EU Artificial Intelligence Act (“AI Act”) has come into force on August 1st, 2024. How does it affect researchers, teachers, other employees, and students at Aalto University?
Study energy technology for a sustainable future
Discover the wide range of different energy related master's programmes Aalto University has to offer!
Apply to Aalto International Talent Program 2025
The program runs from January-March. Applications are open yearly in October.
Historic Timber Structures and Architectural Innovations in Late Medieval Northern Europe
Funded by Kone Foundation, Finnish Cultural Foundation and Jenny and Antti Wihuri Foundation
Duration 1.1.2020–31.5.2025
Principal Investigator: Panu Savolainen
La cathédrale engloutie. The medieval architecture, construction phases and artworks of Turku Cathedral interpreted with new methodologies.
Research Council of Finland Academy Project 362167
Duration 1.9.2024–31.8.2028
Principal Investigator: Panu Savolainen
Unite! Seed Fund
Unite! offers a financial boost for collaborative ideas from teachers, researchers and students across the alliance.
Multi-Robot Inspection and Monitoring -REAL WORLD CHALLENGE
The IEEE RAS Summer School 2024, hosted at the Czech Technical University (CTU) in Prague, was an incredible event focused on multi-agent systems and swarm robotics. The program offered in-depth insights into cutting-edge algorithms, coordination strategies, and the future of robotics, covering topics such as coordination in challenging environments, localization and planning, drone platforms, and safety considerations. Dr. Stefano V. Albrecht's lectures on multi-agent reinforcement learning were particularly impactful for me. The highlight of the event was the real-world competition, where teams tackled a complex multi-robot inspection and monitoring task. Collaborating with talented peers from various universities, our team developed a solution for assigning predetermined viewpoints and addressing trajectory planning challenges for two UAVs in a 3D environment with obstacles. Our approach focused on optimizing inspection time while maintaining collision-free paths and respecting dynamic constraints. Competing against 37 international teams in both virtual and real-world challenges, we secured 3rd place!