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Lessons on the Reality-Gap: Iterations between Virtual and Real Robots
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- Rosendo Andre
- Living Machine Laboratory, ShanghaiTech University
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- Houseago Charlie
- Bio-inspired Robotics Laboratory, University of Cambridge
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- Iida Fumiya
- Bio-inspired Robotics Laboratory, University of Cambridge
Description
Due to approximations between the virtual and real world, the knowledge transfer from simulations to robots is problematic. As physical conditions are prone to unknown and stochastic noise sources, the predictability reduces. We use data experiments from 100 real robots to tune the parameters of a simulation, and later used this tuned simulator to improve the design of the previous robots and find the optimum robot. We compare the simulated and observed behavior of this robot, and discuss our results.
Journal
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- Proceedings of International Conference on Artificial Life and Robotics
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Proceedings of International Conference on Artificial Life and Robotics 23 153-156, 2018-02-02
ALife Robotics Corporation Ltd.
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Keywords
Details 詳細情報について
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- CRID
- 1390845713049557120
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- ISSN
- 21887829
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
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- Abstract License Flag
- Disallowed
