To Perform reliably and consistently over sustained periods of time, large-scale automation critically relies on computer simulation. Simulation allows us and supervisory AI to effectively design, validate, and continuously improve complex processes, and helps practitioners to gain insight into the operation and justify future investments. While numerous successful applications of simulation in industry exist, such as circuit simulation, finite element methods, and computeraided design (CAD), state-of-the-art simulators fall short of accurately modeling physical phenomena, such as friction, impact, and deformation.

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Sim2Real在机器人技术和自动化中的应用和挑战

为了在持续的时间段内可靠且一致地执行操作，大规模自动化至关重要地依赖于计算机仿真。仿真使我们和监督AI能够有效地设计，验证和持续改进复杂的流程，并帮助从业人员深入了解操作并证明未来的投资合理性。尽管存在许多成功的仿真应用程序，例如电路仿真，有限元方法和计算机辅助设计（CAD），但最先进的仿真器仍无法准确地建模物理现象，例如摩擦，冲击和变形。