Martin Frank is an industrial PhD candidate at BTH. Working as Research Engineer within Emerging Technologies at Volvo Construction Equipment he’ll now “double” by doing his PhD with a focus on data-driven design for autonomous systems. Martin is contributing to, and doing research in, the KKS research profile “Model Driven...
Supporting the construction workers of both current and future construction sites has been the topic of the global product development challenge posed to seven final-year MSc students from BTH and Stanford University. In their capstone project ME310, which runs from November to June, they move in a Design Thinking process...
The Product Development Research Lab at BTH are for the sixth year starting up a ME310 project in collaboration with the Design Division at Stanford University. As with the last four iterations, Volvo Construction Equipment are the industrial partner.
On Saturday September 30 a diverse team of 27 students from many of BTH’s master programs took on the challenge of innovating the Future of the Construction industry together with Volvo CE’s emerging technologies.
As the summer approaches the yearly ME310 project with Stanford University draws to a close. This years’ projects were presented at the d.school on the Stanford campus in the heart of Silicon Valley in California
During a rainy saturday, some 20 BTH students joined for the research labs event “Future Exploration Design-Build-Test challenge” in collaboration with Volvo Construction Equipment.
Christian Johansson och Tobias Larsson deltog på NU2016. NU, som står för nätverk och utveckling, är en nationell konferens som anordnas vartannat år och vänder sig till alla som är engagerade i svensk högre utbildning. Huvudsyftet med konferensen är att främja pedagogiskt utvecklingsarbete genom att erbjuda en mötesplats för spridning, dialog...
The Volvo CE Stanford ME310 project has been completed with the annual Stanford EXPE atStanford University on June 2nd. Students from MSPI and Mechanical Engineering at BTH together with Mechanical Engineering counterparts at Stanford have presented their results for how autonomous machines should collaborate and build trust with their human collaborators...
