Robotics and neuroscience are sister disciplines that both aim to understand how agile, efficient, and robust locomotion can be achieved in autonomous agents. Robotics has already benefitted from neuromechanical principles discovered by investigating animals. These include the use of high-level commands to control low-level central pattern generator–like controllers, which, in turn, are informed by sensory feedback. Reciprocally, neuroscience has benefited from tools and intuitions in robotics to reveal how embodiment, physical interactions with the environment, and sensory feedback help sculpt animal behavior. We illustrate and discuss exemplar studies of this dialog between robotics and neuroscience. We also reveal how the increasing biorealism of simulations and robots is driving these two disciplines together, forging an integrative science of autonomous behavioral control with many exciting future opportunities.

中文翻译：

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动物运动的神经力学：从生物学到机器人学再回来

机器人学和神经科学是姐妹学科，都旨在了解如何在自主代理中实现敏捷、高效和稳健的运动。机器人技术已经受益于通过研究动物发现的神经力学原理。其中包括使用高级命令来控制低级中央模式生成器（类似控制器），而这些控制器又通过感官反馈获得信息。相反，神经科学也受益于机器人技术的工具和直觉，揭示了具体化、与环境的物理相互作用以及感官反馈如何帮助塑造动物行为。我们举例说明并讨论了机器人学和神经科学之间对话的范例研究。我们还揭示了模拟和机器人日益增长的生物现实主义如何推动这两个学科共同发展，