15 Research LabThe physical layerSan Francisco

Embodied AI safety.

Independent research into how AI systems sense, act, and experiment in the physical world.

Embodied AI
What happens when a model's decision becomes a physical action?
Safety research
MHS
Device state, operating limits, permissions, and failure recovery.
Interface testing
Physical AI
Experiments that connect an agent's claims to measured outcomes.
Experimentation
Frontier design
New instruments, mechanisms, electronics, and ways to compute.
Experimental hardware
01

Intelligence meets physics

15 Research Lab is an independent research effort in San Francisco focused on embodied AI safety, MHS testing, physical AI experimentation, and frontier design. The central question is what we can trust an AI system to do when its tools can move, heat, sense, or change something in the world. The work connects software, electronics, mechanisms, and measurement in experiments whose outcomes can be checked.

Questions at the boundary
  • 01Can an agent tell the difference between a command being accepted and a physical task being completed?
  • 02What happens when sensor data is stale, a device disconnects, or an operation is interrupted?
  • 03Which operating limits hold independently of the model's own reasoning?
  • 04How do we test recovery without quietly changing the definition of success?

A convincing explanation is only one part of an experiment. The device state, sensor trace, and physical result must support the same conclusion.

02

Four research areas

A research agenda spanning the decisions an agent makes, the interfaces it uses, the experiments it runs, and the hardware that makes new experiments possible.

Area 01Action & consequence

Embodied AI safety research

Before the actionAuthority, operating limits, and the conditions for proceeding.

After the actionPhysical evidence, failure detection, and safe recovery.

Study how model behavior changes when tools control a mechanism or an instrument. Develop tasks that expose unsafe actions, false success claims, and failures to stop.

Area 02Agent to instrument

MHS testing

What the agent seesCapabilities, device state, permissions, units, and limits.

What the device doesCommand execution, acknowledgments, faults, and observed state.

Research the safety of Model Hardware Standard interfaces and related control patterns. Test the assumptions that connect a software instruction to a physical operation.

Area 03Close the loop

Physical AI experimentation

Act, observe, reviseInstrument control, sensing, and repeatable physical tasks.

Measure the outcomeTask completion, error, intervention, and recovery.

Develop experiments in manipulation, measurement, and autonomous science. Compare agent behavior with conventional control and track where human intervention is still needed.

Area 04Make the experiment

Frontier design

New ways to investigateCustom instruments, tactile systems, and integrated mechanisms.

From design to evidenceModels, prototypes, characterization, and iteration.

Explore experimental electronics, materials, and unconventional computing alongside robotics. Let a concrete research question determine what needs to be designed and built.

03

A physical result needs a record

The experimental method: define the task, test the failure modes, and preserve enough evidence for someone else to inspect the result.

Experimental stepRecord
01Define the task and operating boundsProtocol
02Establish a conventional baselineControl
03Introduce faults and uncertaintyTest cases
04Observe the physical stateSensor traces
05Check stopping and recoveryFailure log
06Compare claims with outcomesEvidence

A command acknowledgment, a simulated run, and a measured physical outcome answer different questions. Each result needs the context that makes it meaningful.

04

A lab for difficult questions

Some questions require a new sensor, an unfamiliar mechanism, or a different way to compute. Frontier design is part of the research process. Electronics, fabrication, and measurement give an idea a physical form that can be tested.

What the bench makes possible
  • +Robotics and tactile fixtures for studying contact, motion, and manipulation
  • +Agent-operated instruments with explicit state, limits, and observable outcomes
  • +Reference samples and characterization methods for evaluating perception against physical evidence
  • +Experimental circuits, materials, and computing devices that extend the questions we can ask

15RL is being developed as an independent, owner-operated research lab in San Francisco. Design, software, and simulation work are underway; the dedicated shop and physical commissioning are still being established.

05

Research questions

What does 15 Research Lab research?

15 Research Lab focuses on embodied AI safety, MHS testing, physical AI experimentation, and frontier design. The work examines how AI systems sense and act through instruments and mechanisms, and how to evaluate their behavior against observable physical outcomes.

What is MHS testing?

MHS is the Model Hardware Standard, introduced by Anthropic for connecting AI agents to programmable physical devices. The research focus at 15RL is device state, operating limits, command permissions, and recovery from failure. Current interface work includes local simulations and stand-in device contracts; testing an official MHS implementation depends on access to a documented version.

Read the Model Hardware Standard announcement

How are physical AI experiments evaluated?

Define a task, operating bounds, and success criteria before the run. Compare the agent with a conventional baseline, introduce controlled failures, and record sensor traces, actual task outcomes, stopping behavior, recovery, and human interventions. A software acknowledgment alone is not evidence that a physical task succeeded.

Why does the lab include frontier hardware design?

Some research questions require new instruments, mechanisms, sensors, or computing devices. Frontier design brings together electronics, materials, fabrication, and measurement to make those questions testable. Designs and simulations are evaluated as such; physical performance requires a commissioned experiment.

Explore the heat-diffusion simulation

What stage is the lab at?

15RL is being developed as an independent, owner-operated research lab in San Francisco. Design, software, and simulation work are underway. The dedicated shop and physical commissioning are still being established.

How can I connect with the lab?

Research groups, hardware builders, and funders interested in embodied AI safety or experimental hardware can write to hello@15researchlab.com. Introduce the research question, the device or experiment involved, and the kind of collaboration you have in mind. The opening list is for a single announcement when the lab opens.

06

Follow the research

Interested in embodied AI safety, MHS testing, physical experiments, or a new instrument? Introduce the question you want to investigate, or join the list for the lab's opening announcement.

One email when the lab opens. No list sharing. For research conversations, write directly to hello@15researchlab.com.