News

Design solutions for the maritime industry - the revolutionary transition to remote shipping

Aalto University and Kongsberg Maritime are jointly developing the future of maritime operations, where work shifts from ship bridges to remote control centers.
Excerpts of workflow storyboards: weather and vessel size as sustainable considerations in voyage planning.
Photo: Excerpts of workflow storyboards: weather and vessel size as sustainable considerations in voyage planning.

Robotics and artificial intelligence are revolutionizing maritime operations as ships will be operated from shore and crew members become specialists in remote control centers.

At the heart of the INTERREMOTE research project are human-centered design and experience design. The joint goal is to design user interfaces for remote operation tools that create a positive work experience. Design opens doors to how artificial intelligence, robots, and employees can work as a team, and how employees communicate with these new colleagues.

Maritime industry giant Kongsberg Maritime is a pioneer in the remote control of unmanned vessels. The two-year INTERREMOTE project continues the research collaboration between Aalto University Department of Design and Kongsberg.

"It is extremely interesting to collaboratively explore what the future of work in maritime operations might look like. We are developing user interfaces that put maritime workers at the center and that enrich the work, keeping it engaging and meaningful," says Virpi Roto, Senior University Lecturer at Aalto University.

"Aalto University's design expertise and understanding of new theories are of paramount importance to us as we develop high-tech solutions for remote control of ships, with people at the centre." says Markus Laurinen, SVP Growth and Solutions at Kongsberg Maritime.

Aalto University's design expertise and understanding of new theories are of paramount importance to us as we develop high-tech solutions for remote control of ships, with people at the centre.

Markus Laurinen, SVP Growth and Solutions, Kongsberg Maritime

Humans and AI combine to optimize vessel routing

The transition to remote control centers is revolutionizing the maritime work environment and the nature of the work itself.

"On a ship, workers are in close contact with each other, and the importance of interpersonal relationships is emphasized, especially during long voyages. Through design, we are looking for ways to maintain social cohesion, even when the work is done from remote control centers or from home," Roto explains.

The transition requires new operational models, as in the future, a captain may be responsible for multiple vessels sailing at sea.

Autonomous maritime operations will begin with cargo ships, where voyage planning seeks to identify the optimal ship type for transporting specific cargo. Optimal route selection minimizes fuel consumption. Scheduling becomes crucial, as energy-efficient ships sail more slowly.

"We developed user interface concepts where humans and artificial intelligence collaboratively seek energy-efficient and sustainable solutions for route planning," Roto continues.

Design research boosts business performance

Aalto University Department of Design has long-term expertise in developing interactions between humans and AI system.

“When designing AI systems, it is important to ensure that they support the meaningfulness of work and the wellbeing of employees, even if some tasks are automated," Roto emphasizes.

The deep understanding of human behaviour and technology interfaces provided by academic research is the foundation for new industrial applications.

"Understanding the end-user is crucial to creating efficient and safe environments. The INTERREMOTE project aims to create environments that people want to work in and that meet the needs of our customers," says Laurinen from Kongsberg Maritime.

The project has produced three Master's theses, supervised by Antony William Joseph, a postdoctoral researcher at Aalto University. The research has provided Aalto students with a unique opportunity to learn about the design processes of a large company.

"Working closely with Kongsberg Maritime's designers has opened the students' eyes to the possibilities of digital design when they are tasked with creating completely new user interfaces for a major player in the maritime industry," says Roto.

Text: Marjukka Puolakka

  • Updated:
  • Published:
Share
URL copied!

Read more news

Three white, circular lace patterns on a black background, each with a unique geometric design.
Research & Art Published:

Smart textiles are reshaping our understanding of materials – and interspecies communication

The PAST-A-BOT research project, funded by the European Research Council (ERC), is developing soft, intelligent textiles that could one day function as rescue robots, sound-sensing agricultural fabrics, or assistive clothing. At the same time, the project aims to rethink the way we approach materials research.
A woman presenting her master's thesis on textile chemistry at Aalto University. A laptop and notes are on the table.
Research & Art Published:

Master’s student showcases efficient color stripping of cotton fabrics

On December 9, master’s thesis student Elsa Vuorenmaa from the Textile Chemistry Group presented the results of her research on color stripping of reactive-dyed cotton fabrics.
Four men in formal attire, each in different settings. One wears a turtleneck, others wear suits with ties.
Research & Art Published:

Future makers research batteries, cryptography and plastic recycling

The Technology Industries of Finland Centennial Foundation awarded 3.5 million euros in research funding to eight projects, five from Aalto University.
Sebastian Szyller photographed indoors on campus.
Research & Art Published:

Sebastian Szyller: I want to make machine learning more dependable and resilient to attacks

Sebastian Szyller has been appointed assistant professor at Aalto University Department of Computer Science as from 1 September 2025. He studies how to train privacy-preserving machine learning models, how to safeguard them and ensure robust predictions in untrusted environments