A perspective on large-scale simulation as an enabler for novel biorobotics applications.
| Autor: | Angelidis E; Chair of Robotics, Artificial Intelligence and Embedded Systems, School of Informatics, Technical University of Munich, Munich, Germany.; Munich Research Center, Huawei Technologies Germany, Munich, Germany. |
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| Jazyk: | angličtina |
| Zdroj: | Frontiers in robotics and AI [Front Robot AI] 2023 Aug 25; Vol. 10, pp. 1102286. Date of Electronic Publication: 2023 Aug 25 (Print Publication: 2023). |
| DOI: | 10.3389/frobt.2023.1102286 |
| Abstrakt: | Our understanding of the complex mechanisms that power biological intelligence has been greatly enhanced through the explosive growth of large-scale neuroscience and robotics simulation tools that are used by the research community to perform previously infeasible experiments, such as the simulation of the neocortex's circuitry. Nevertheless, simulation falls far from being directly applicable to biorobots due to the large discrepancy between the simulated and the real world. A possible solution for this problem is the further enhancement of existing simulation tools for robotics, AI and neuroscience with multi-physics capabilities. Previously infeasible or difficult to simulate scenarios, such as robots swimming on the water surface, interacting with soft materials, walking on granular materials etc., would be rendered possible within a multi-physics simulation environment designed for robotics. In combination with multi-physics simulation, large-scale simulation tools that integrate multiple simulation modules in a closed-loop manner help address fundamental questions around the organization of neural circuits and the interplay between the brain, body and environment. We analyze existing designs for large-scale simulation running on cloud and HPC infrastructure as well as their shortcomings. Based on this analysis we propose a next-gen modular architecture design based on multi-physics engines, that we believe would greatly benefit biorobotics and AI. Competing Interests: The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 Angelidis.) |
| Databáze: | MEDLINE |
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