Research

Built on published work, with credit.

We stand on the work of researchers and platform builders. Nothing here is a rivalry. We are building one specific, testable layer: an immutable hardware core with its own sensing, a fail-safe ladder and sector profiles, designed to work alongside the platforms the field already uses.

Where we sit

The work we build on, and where we fit.

WorkWhat it showsHow Inztinct builds on it
RoboPAIR
arXiv 2410.13691
Jailbreak attacks can make LLM-controlled robots take harmful physical actions.We take the warning seriously. We assume the planner can be compromised and keep the last line of defence outside it.
Black-Box Simplex
arXiv 2102.12981
A verified controller can take over from an unverified one at run time.We build on this pattern for physical AI, adding fixed hardware, independent sensing and sector profiles.
Zhang and Lu
arXiv 2307.10690
An earlier use of an "instinct layer" for intelligent agents.We credit earlier uses of the term. In our work instinct means a fixed hardware boundary, not a learned module.
Hrstek
Bridging Intelligence and Instinct
A framing of fast instinct beside slower intelligence for autonomous systems.We build on this framing with an immutable core, a fail-safe ladder and a certification path.
NVIDIA HalosA full-stack safety platform for robots and vehicles, with isolation, monitoring and certified processes.Complementary. Halos supplies certified compute and processes. ZIV is designed to run on Jetson-class compute, with the safety core beneath as an AI-independent fallback.
Dual-system robot models
Figure Helix, NVIDIA GR00T N1
A fast reflex model beside a slower reasoning model.We credit this work for the System 1 and System 2 vocabulary. We call the learned fast layer intuition and keep instinct for a fixed core.
Credits

With thanks.

We thank the authors of RoboPAIR, Black-Box Simplex and the instinct-layer work cited above, the teams behind Figure Helix and NVIDIA GR00T N1 for the System 1 and System 2 vocabulary, and NVIDIA for its public safety work on Halos and Jetson. The TU Berlin researchers who published the voltage-glitch attack on a car root of trust taught us as much as any design paper. NVIDIA, Jetson and Halos are trademarks of NVIDIA Corporation. Figure and Helix are trademarks of their owners. Inztinct is not affiliated with or endorsed by any company named on this page. Descriptions are our reading of public sources and may be corrected on request.

Research agenda

What we plan to publish.

Nothing below is published yet. We will release preprints once the first prototype results are in.

Paper 1 · planned

An instinct-first architecture for physical AI

The Core, Sense and Learn design, the two-model structure and the design rules, framed against prior art.

Paper 2 · planned

Stop latency under a compromised planner

Measured results on ZIV: how fast Core clamps and stops when the AI issues unsafe commands.

Paper 3 · planned

Safety profiles and a path to certification

Sector configurations, signed loading, and mapping the design to IEC 61508 and ISO 13849.

Paper 4 · exploratory

A purpose-built safety chip

Floorplan, lockstep and monitors, and the limits of mask ROM against physical attacks.

Collaborate

Working on robot safety? Co-author with us.

We are building the platform and the test rig. If you bring formal methods, security or certification expertise, we would like to talk.

Formal methodsVerifying the safety core rule set and the ladder
Hardware securityGlitch, fault-injection and tamper testing
Safety engineeringAssessment against IEC 61508 and ISO 13849
Robot learningSafe learned instincts inside fixed limits