teleo-codex/domains/robotics/_map.md

description	type
Humanoid robot economics, industrial automation thresholds, autonomy capability gaps, human-robot complementarity, and the binding constraint between AI cognitive capability and physical-world deployment	moc

robotics and automation

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?

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.

Humanoid Robots

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.

Claims to be added — domain is new.

Industrial Automation

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.

Claims to be added.

Autonomous Systems for Space

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.

Claims to be added.

Human-Robot Complementarity

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?"

Claims to be added.

Cross-Domain Connections

• 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
• 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
• 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
• the self-sustaining space operations threshold requires closing three interdependent loops simultaneously -- power water and manufacturing — autonomous robotics is implicit in all three loops
• 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

Topics:

• robotics and automation