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cover of episode Machina Labs’ Edward Mehr on Autonomous Blacksmith Bots and More - Ep. 232

Machina Labs’ Edward Mehr on Autonomous Blacksmith Bots and More - Ep. 232

2024/9/3
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Edward Mehr介绍了Machina Labs如何利用人工智能和机器人技术来构建下一代制造工厂。他指出，传统制造业中，工厂的设计和运营难以改变，每次改变设计和材料都需要耗费大量时间和资金。为了解决这个问题，Machina Labs致力于构建一个真正意义上的软件定义工厂，能够在不改变机器的情况下改变设计和运营。他以SpaceX的Falcon 9火箭为例，说明传统制造业的硬件专用性限制了设计灵活性，并解释了3D打印技术虽然一定程度上解决了这个问题，但仍存在几何形状和经济性方面的限制。Machina Labs的核心思想是将手工技艺的灵活性与自动化生产的可扩展性相结合，构建一个能够复制手工技艺并实现规模化生产的“机器人技工”平台。目前，Machina Labs主要专注于航空航天和国防领域，因为这些领域对设计和零件变化频繁，且乐于采用新技术。 Noah Kravitz与Edward Mehr讨论了Machina Labs的工厂布局、机器人单元的设计、AI在机器人系统中的作用以及数据收集和训练的挑战。他们探讨了如何将设计意图转化为机器人操作步骤，以及如何通过实际操作和仿真技术来生成训练数据。Edward Mehr还分享了Machina Labs在运营管理和团队建设方面的经验，并对未来制造业的发展趋势和家用机器人的普及时间进行了展望。他认为，未来的制造业需要更多跨学科人才，创业公司应该专注于具有使命感的项目，推动制造业的根本性变革。

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Machina Labs is building a software-defined factory using AI and robotics to overcome the limitations of traditional manufacturing. The company aims for flexibility and scalability, addressing challenges faced in previous roles at SpaceX and Relativity Space.
  • Machina Labs uses AI and robotics to build the next generation of manufacturing floors.
  • Traditional manufacturing requires building a new factory for each part, which is expensive and time-consuming.
  • Machina Labs' goal is to create a software-defined factory that can change its design and operation without changing its machinery.

Shownotes Transcript

Edward Mehr works where AI meets the anvil. The company he cofounded, Machina Labs, blends the latest advancements in robotics and AI to form metal into countless shapes for use in defense, aerospace, and more. The company’s applications accelerate design and innovation, enabling rapid iteration and production in days instead of the months required by conventional processes. NVIDIA AI Podcast host Noah Kravitz speaks with Mehr, CEO of Machina Labs, on how the company uses AI to develop the first-ever robotic blacksmith. Its Robotic Craftsman platform integrates seven-axis robots that can shape, scan, trim and drill a wide range of materials — all capabilities made possible through AI.