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description: Humanoid robot economics, industrial automation thresholds, autonomy capability gaps, human-robot complementarity, and the binding constraint between AI cognitive capability and physical-world deployment
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type: moc
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---
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# robotics and automation
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Robotics is the bridge between AI capability and physical-world impact. AI can reason, code, and analyze at superhuman levels — but the physical world remains largely untouched because AI lacks embodiment. Astra tracks robotics through the same threshold economics lens applied to all physical-world domains: when does a robot at a given cost point reach a capability level that makes a new category of deployment viable?
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The defining asymmetry of the current moment: cognitive AI capability has outrun physical deployment capability. Three conditions gate AI's physical-world impact (both positive and catastrophic): autonomy, robotics, and production chain control. Current AI satisfies none. Closing this gap — through humanoid robots, industrial automation, and autonomous systems — is the most consequential engineering challenge of the next decade.
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## Humanoid Robots
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The current frontier. Tesla Optimus, Figure, Apptronik, and others racing to general-purpose manipulation at consumer price points ($20-50K). The threshold crossing that matters: human-comparable dexterity in unstructured environments at a cost below the annual wage of the tasks being automated. No humanoid robot is close to this threshold today — current demos are tightly controlled.
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*Claims to be added — domain is new.*
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## Industrial Automation
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Industrial robots have saturated structured environments for simple repetitive tasks. The frontier is complex manipulation, mixed-product lines, and semi-structured environments. Collaborative robots (cobots) represent the current growth edge. The industrial automation market is mature but plateau'd at ~$50B — the next growth phase requires capability breakthroughs in unstructured manipulation and perception.
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*Claims to be added.*
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## Autonomous Systems for Space
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Space operations ARE robotics. Every rover, every autonomous docking system, every ISRU demonstrator is a robot. The gap between current teleoperation and the autonomy needed for self-sustaining space operations is the binding constraint on settlement timelines. Orbital construction at scale requires autonomous systems that don't yet exist.
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*Claims to be added.*
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## Human-Robot Complementarity
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Not all automation is substitution. The centaur model — human-robot teaming where each contributes their comparative advantage — often outperforms either alone. The deployment question is often not "can a robot do this?" but "what's the optimal human-robot division of labor for this task?"
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*Claims to be added.*
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## Cross-Domain Connections
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- [[three conditions gate AI takeover risk autonomy robotics and production chain control and current AI satisfies none of them which bounds near-term catastrophic risk despite superhuman cognitive capabilities]] — the three-conditions framework: robotics as the missing link between AI capability and physical-world impact
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- [[knowledge embodiment lag means technology is available decades before organizations learn to use it optimally creating a productivity paradox]] — AI capability exists; the knowledge embodiment lag is in physical deployment
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- [[the atoms-to-bits spectrum positions industries between defensible-but-linear and scalable-but-commoditizable with the sweet spot where physical data generation feeds software that scales independently]] — robots as the ultimate atoms-to-bits machines: physical interaction generates training data
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- [[the self-sustaining space operations threshold requires closing three interdependent loops simultaneously -- power water and manufacturing]] — autonomous robotics is implicit in all three loops
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- [[products are crystallized imagination that augment human capacity beyond individual knowledge by embodying practical uses of knowhow in physical order]] — robots as products that augment human physical capability
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Topics:
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- [[robotics and automation]]
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