A perspective on large-scale simulation as an enabler for novel biorobotics applications

Frontiers in Robotics and AI

Robotics and AI

Emmanouil Angelidis¹ 

[1]Chair of Robotics, Artificial Intelligence and Embedded Systems, School of Informatics, Technical University of Munich, Munich, Germany

[2]Munich Research Center, Huawei Technologies Germany, Munich, Germany

关键词: simulation;    robotics;    artificial intelligence;    neuroscience;    cloud computing;   

DOI  :  10.3389/frobt.2023.1102286

 received in 2022-11-18, accepted in 2023-08-15,  发布年份 2023

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

Unknown   
Copyright © 2023 Angelidis.