ACTOR Streamlines construction with automation and AI - Video
ACTOR is a research project that aims at solving critical construction problems with real-time situational awareness. A trustworthy situation picture is a prerequisite for effective planning, task management, and logistics. Productivity improvements also have a direct impact on a construction project's carbon emissions.
The March 27, 2024 ACTOR webinar discussed how robotics, sensors, AI, machine learning, extended reality, and standardized data make real-time situational awareness possible. ACTOR's company partners showcased the technologies developed during the project.
The agenda:
- Introduction - Olli Seppänen, Aalto University
- Automating material management - Ari Viitanen, Carinafour
- Data-driven optimization - Ulla Tikkanen, KONE
- Robotized data capture - Kim Nyberg, Trimble
- Digital twin of a project - Tomi Pitkäranta, Flow Technologies
To learn more about the project, visit https://www.aalto.fi/en/department-of-civil-engineering/automatic-coordination-of-construction-actors-actor and the project’s LinkedIn page at https://www.linkedin.com/company/automatic-coordination-of-construction-actors-actor.
ACTOR is supported by Business Finland’s Low Carbon Built Environment Program, which receives funding from the EU’s Recovery and Resilience Facility.
Automatic Coordination of Construction Actors (ACTOR)
ACTOR is a Finnish R&D project aimed at increasing the productivity of construction and decrease its carbon emissions through process automation.
Read more news
Bachelor's Students Successfully Complete Research Internship
Three bachelor's students have successfully completed their research internships.
From Materials to Smart Textiles: Benjamin Begins a New Chapter at Aalto
Ping-Chun Chen is a researcher from National Tsing Hua University, Taiwan.
The idea of three researchers generated a deep tech company
Sim Analytics Oy relies on strong research expertise. Its story began when three researcher colleagues working in different laboratories at LUT University began to consider how to provide and analyse data in a way that would support industrial companies in making business decisions.