Deep Sea Bot 1.0
The Deep Sea Bot will not further developed, since we decided to use PTE in future. Nevertheless, it is a very interesting sample about how it works. With CAD, you define first the frame in 3D, before you do the rendering.
Designer: Juan de Santiago
The main challenge for deep subsea autonomous vehicles is pressure. Commercially available electronics are not rated to work at high pressure, thus, a pressure vessel is typically used.
Our approach aims to reduce or even remove the need of pressure vessel, by making the electronics itself insensitive to pressure. This will allow to reduce complexity, weight, and cost. PTE would allow to test systems independently, in high pressure conditions, allowing much more flexibility in the design, production, and maintenance of deep-sea vehicles. The technology behind PTE is highly scalable, easy to integrate, and cheap.
Use of AI (Artificial Intelligence)
We focus on automatic pattern recognition with machine learning software e.g. from ROVCO (next page) and for our Wing Glider on the dynamic detection of waste swirls by folding 3D models
Smart Mining of Manganese Nodules
Industrial states plan the Mining of Manganese Nodules, with steel systems weighing tons, destroying any life at the bottom …
We believe, that with existing technology and slight improvements in Robotics, within two years we will be able to provide a SOFT HARVESTING of manganese nodules. Specific robots will hover some meters over the bottom – and with robot arms we can harvest the manganese nodules very sensitively.
Source / Picture: Nautil.us + PNAS journal