Real-world benchmarks for intelligent machines

Coop evaluates robot policies on real hardware, measuring what works, where it fails, and how reliably it performs.

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The physical side of AI

Progress in robotics depends on what happens outside the model

Understanding how a robot moves an object, recovers from a mistake, and works in changing conditions takes time with real hardware. Coop turns those questions into repeatable evaluations, with defined conditions, measurable outcomes, and evidence you can inspect.

Benchmarking & evaluations

Know what holds up in the real world

Compare policies, test their limits, and measure progress through controlled experiments on real robots.

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Concept illustration of two matching humanoid robots sorting blocks at identical workstations for repeated policy comparison trials

Compare policies on common ground

Evaluate compatible policies on the same robot, tasks, and starting conditions. Measure autonomous success, completion time, and interventions, with every trial accounted for.

The comparison
Different policies on one documented robot setup
The evidence
Per-task results, trial counts, and success and failure recordings

How we benchmark

Trust starts with the protocol

A useful benchmark makes clear what was tested, how it was scored, and what the result means. We build the evaluation around those details from the start.

01

Start with a shared protocol

Define the robot, tasks, conditions, and success rules. Check policy compatibility and establish a reference baseline before the scored evaluation begins.

02

Make every trial count

Run repeated trials with controlled starting conditions and documented resets. Record failures, interruptions, and human interventions alongside successful runs.

03

Connect results to evidence

Review results by task and condition, with trial counts, uncertainty, and recordings. Understand what the comparison supports, where it is limited, and what needs another test.

The Coop journal

Research & insights

The questions, methods, and physical work behind our benchmarks.

Visit the journal