CAIN-42 CAIN StudioAGENTIC AI 75 · #8
Robot programming through agent teams
Berkeley described agents that write, simulate, test and refine interpretable robot-control programmes.
Last reviewed 2026-11-11
Agentic AI 75 / #8
2026 status: Robotics research · Category: Robotics
The 2026 development
Berkeley described agents that write, simulate, test and refine interpretable robot-control programmes.
The governance gap
Generated control code is executable in the physical world. The dangerous transition is not the code generation; it is the promotion of a simulated success into a real actuator command.
Where CAIN-42 fits: Moat 4 — Execution Provenance & Attestation
Core question: Can we prove what actually happened? Hash-chained, signed records binding decision to execution to observable effect.
Keep generation, simulation, test and deployment as separate signed stages. A programme may be promoted only when the same artifact hash passed the simulator and the deployment gate, and the gate records the operator who released it.
How the wiring works
- Hash the generated programme and its test corpus.
- Run the simulator in an isolated sandbox with no actuator access.
- Require a human release step for the first physical deployment of any new programme.
- Record actuator commands and observed motion as effects bound to the released hash.
What is real today
SIMULATED A lab, replay or physical-simulation path. It is not hardware, not a real customer action, and not a safety certification.
Sandboxing and provenance are real. No robot-control programme has been generated, simulated or deployed by this deployment.
| Component in this repository | What the module says it is |
|---|---|
cain/isolation/sandbox.py | Hardened Execution Isolation Fabric — Evolution 6: Project Sovereign Isolation. |
cain/argus/physical.py | CAIN ARGUS — physical-AI assurance (Prompt 14, section 15). SIMULATED. |
keystone/sandbox.py | Run a module's tests inside a bubblewrap sandbox: no network, read-only system, only its own files, time-boxed. |
cain/talos/talos_sandbox_launcher.py | TALOS sandbox launcher. Run as a program (``python -I talos_sandbox_launcher.py``), never imported by the |
Descriptions are the first line of each module's own docstring, read without importing it. A module path is a pointer into this repository, not a hosted endpoint. Its existence is checked by the test suite; its status for this use is the label above.
Check it yourself
- Inspect the live ARGUS status
/fabric/argus/status - Fire a live decision through the CAIN-42 pipeline
/fabric/try— the same enforcement path every product sits behind.
Commercial package
| Offer | Robotics Release Gate Review |
|---|---|
| Buyer | Robotics vendors and industrial automation teams |
| Price (proposal) | $7,500–$15,000 per review |
| Bundle | Physical & Lab — A validity check between the plan and the machine. |
| Operator stream | Stream 2 of the 10-stream operator playbook |
Lab automation, robotics, industrial operations, construction technology is the bundle buyer. The entry offer for this bundle is Physical-action assurance review (advisory, simulation-first); the range is $5,000–$15,000 per engagement. A price on this page is a proposal, not a validated rate, and no customer is claimed.
Buy this as a product or service
CAIN-A75-008 — Robotics Release Gate Review DELIVERABLE
A bounded engine run on the buyer's sample: findings, a written report, and a SHA-256 artifact manifest. The manifest is unsigned: it is not a signature and not an attestation.
Kind: Assessment · Price (proposal): $7,500–$15,000 per review · Lead time: 5 business days.
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What this page does not claim
What this page is not. CAIN-42 is not affiliated with, endorsed by, integrated into, or shipped with the organisation named in the 2026 item. The item is public context; the page describes how CAIN-42 would govern that class of capability. No page here claims a customer, a partnership, a certification, a patent, or a production integration. Prices are proposals. Built by a three-person team.