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Computational Archaeology news and links for many overdue months

It has been a while since a news post, so some of these might not really be “new”s, but rather interesting articles in the field that you might have missed. Additionally there are some old projects or articles I have only ran into now which I am posting along with the news.

Here’s the first batch. I will do another one soon as this post is getting long and there are still quite a few articles worth posting.

Articles directly related

Lidar-Basilica-Italy

Articles indirectly related

  • Autonomous underwater robot inspired by Star Trek crew hierarchy: MIT engineers have built an autonomous underwater robot, whose decision making algorithm is based on the crew hierarchy of Star Trek. This is relevant to computational archaeology as robots like this could be used to explore underwater sites, just like our friends in Star Trek explore the universe. Hopefully the team has a guy called Scotty assigned to retrieve the robot post-exploration.
  • Oculus Rift and robotic heads combination for exploration: A robotic bust mounted on a four-wheeled, battery-powered cart has been built by University of Pennsylvania students. This robot’s movements are mapped to an Oculus Rift, making the wearer of the Oculus Rift able to virtually explore the same locations as the robot. T%he wearer controls the movement of the camera by moving his/her head to look around. This could be useful to computational archaeology as some sites may not be accessible by a human, yet need to be analysed in detail by one. The robot would allow the archaeologist explore the inaccessible site in more detail, rather than struggle to angle the camera of an ROV using a control remote.
  • Underwater Mass Spectrometer Successfully Integrates with Bluefin Autonomous Underwater Vehicle: This article describes the benefits of integrating underwater mass spectrometer with autonomous underwater vehicles. In short, this integration results in a cost-feasible solution to underwater surveys and increased quality of data.

Projects

Podcasts

Research Papers

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