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  • Dahlgaard Peters posted an update 1 year, 5 months ago

    Utilizing Minecraft and Mods virtual representations of the real world can be constructed to teach autonomous agents how to navigate and accomplish tasks in this virtual world. These virtual models can then be utilized by physical agents like Boston Dynamics bots to implement the tasks and instructions that are learned by using the virtual models. This allows us to envision the possibility of being able to design and build our house within a very small amount of time by using autonomous artificial agents.

    Minecraft is difficult to describe. Is it an actual game? Or an educational tool? At first I didn’t get it. I watched younger siblings play this game for hours, constantly looking for ways to improve their worlds. It was eventually purchased by Microsoft and since then has left the basic experience mostly unaffected. Instead of shelving it away, Microsoft has expanded across more platforms and loaded it with numerous new features such as an education edition and cross-platform play. In Minecraft I have seen people create cities, houses, and even rudimentary models of circuits using Redstone. Furthermore, as the project is programmable and customizable, users can make modifications known as Mods to expand the capabilities of the default.

    Dynamic Mapping

    Virtual worlds are great but what do we know about the real world? Can we simulate the real world? A few months ago, I was able to discover a project from the New York Public Library that generated topographically precise Minecraft maps using historical maps and Python scripts. While the accuracy of the old maps may be questionable, we can only hope that mapping practices have advanced significantly since then and can provide more details and information. This project proves that it is possible to model real-world conditions in a virtual space with the appropriate data.

    Project Malmo

    In addition to the obvious benefit of having an precise virtual representation of the real world, there’s also the additional benefit of having a beginning point to teach autonomous agents to navigate this environment. To aid in this endeavor, Project Malmo is an suitable tool. Project Malmo is a platform for artificial Intelligence research and experimentation that was developed on Minecraft was made available to the public by Microsoft Research in 2015. The project is cross-platform. agents can be developed using Python, Lua, C#, C++ or Java.

    While the benefits of Project Malmo aside from the pedagogical exercise may not be apparent, this project is extremely useful. The cost is not just in terms of cost, but also the time it takes to create physical autonomous bots can be high. If they break or fail during field tests, it could be expensive. Therefore , a better solution is to simulate the mobility and navigation of these physical autonomous agents in a real-world scenario using virtual environments.

    Manual Labor

    After we have been taught then it’s time to locate or design the physical agents that will complete the task and follow the instructions in the virtual worlds. Recent tests have shown that agents could be capable of handling these tasks. One of those is Boston Dynamics. For a long time, Boston Dynamics has been developing anthropomorphic and zoomorphic robotics that perform amazing feats. It is only logical to assume that, if a model has been trained in a real-world context These physical robots can perform a task like building a house.

    It is possible to imagine a robot creating your home. In March of 2017, several reports claimed that a house in Russia was built in less than 24 hours using 3D printing technology. Although the house was pre-designed and the robot arm used to build it was confined in its mobility however its capabilities could be augmented by a model that has been trained and executed using advanced physical autonomous agents such as the ones made by Boston Dynamics. minecraft

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