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Title:

Teleported AI

Document type:
Report / Forschungsbericht
Author(s):
Knoll, Alois; Walter, Florian
Abstract:
Despite recent progress in AI, deploying robots is still a time-consuming and cumbersome process. This is because current robots can only repeat pre-programmed instructions with minimum adaptability to changes. In this report, we introduce the concept of Teleported AI that draws from state-of-the-art deep neural networks, robot simulations and cloud-based software development to enable the massively parallel training of robots in virtual environments. This novel approach alleviates the need for...     »
Contracting organization:
Chair of Robotics, Artificial Intelligence and Real-time Systems
Year:
2020
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