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Robot Utility Models (RUM)

New York University; Hello Robot Inc.; Meta · 2024-09

VAVANot discloseddiscrete tokens

Uses a $25-BoM iPhone collection tool to gather about 1,000 demos per task across about 40 environments, deploying zero-shot in new environments.

View architecture diagram in the galleryPaper ↗

Paper

Robot Utility Models: General Policies for Zero-Shot Deployment in New EnvironmentsarXiv 2409.05865

Overview

Category
VA
Type
VA
Released
2024-09
Organization
New York University; Hello Robot Inc.; Meta
Open weights
Yes
Parameters
Not disclosed

Architecture

Backbone LLM
None
Vision encoder
ResNet34 (HPR init)
Action head
VQ action codes (discrete tokens)
Chunk
Not disclosed
Control rate
Not disclosed
Architecture (original summary)
HPR-initialized ResNet34 vision encoder + VQ-BeT policy (chosen over DP for performance·robot CPU latency); iPhone camera input

Training

Pretraining accelerators
N/A
Pretraining duration
N/A
Pretraining steps & batch
N/A
GPU/TPU-hours
Not disclosed
Fine-tuning
Per-task models: 2 A100, 24–48 hours (phrased as 'all of our models', so unclear whether per model), 500 epochs
Data type
Human video (handheld iPhone Stick-v2 demonstrations)
Data scale
About 1,000 demos per task, about 40 environments (about 25 per environment on average); door opening 1,200, drawer 525
Main datasets
Stick-v2 in-house collection
Tasks & evaluation
Opening cabinet doors, opening drawers, picking up tissues, picking up paper bags, righting fallen objects; zero-shot deployment in unseen environments
Robot
Hello Robot Stretch (also tested on xArm 7)

Inference

Inference device & speed
Stretch onboard CPU, iPhone camera; latency not disclosed
Inference memory
Not disclosed
Weights bf16 (calc.)
Not disclosed
Where it runs
Onboard (Stretch built-in CPU)

Reinforcement learning & base

Reinforcement learning
Not used · Imitation learning. At deployment, a gpt-4o verifier detects failures and retries
Base control
Fixed · Navigation assumed to be a separate component; policy outputs only EE-relative 6D actions at the task location

Notes

Key features
Uses a $25-BoM iPhone collection tool to gather about 1,000 demos per task across about 40 environments, deploying zero-shot in new environments. An external GPT-4o verifier detects failures and triggers retries.
Notes
The verifier gpt-4o-2024-05-13 is a component external to the policy; the policy itself takes no language input. Paper states release of code·data·models·hardware design.
Verification
Confirmed

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