RoboFacetRoboFacet

Sunday Robotics' ACT-1 is a robot foundation model trained on zero robot data, learning from humans via the Skill Capture Glove.

Documentation in progress

The product identity and source are confirmed, but some specifications or interface details do not yet have citable manufacturer evidence. Missing evidence is not treated as a negative claim.

Product information

Information below comes from the product website or public documentation. Pricing and availability may change.

Category
Robot Development
Maturityi
Research project
Deploymenti
Physical hardware
Source
Official websiteChecked Sep 18, 2026

Reality check

A demo shows what may be possible. These points help judge whether the product fits day-to-day use.

Works well when
  • Simulation, control, perception and repeatable experiments
  • Teams that can manage dependencies and hardware interfaces
  • Prototyping before committing to a physical deployment
What to check
  • Supported hardware, GPU requirements and version compatibility
  • Documentation, examples and community response
  • How simulation results transfer to the real robot
Not a magic solution
  • A guarantee that simulation equals a production cell
  • A replacement for safety validation on hardware
  • A low-maintenance toolchain without version ownership

About

ACT-1 is a 2025 robot foundation model from Sunday Robotics, trained on zero robot data. Instead of scaling teleoperation data collected from the robot itself, it learns directly from humans wearing the company's Skill Capture Glove. Sunday Robotics states it owns the entire stack, including software, hardware, data, training, and model evaluation.

Scenes

Software & Agent DevelopmentEducation & Research

Product details

Manufacturer / team
Sunday Robotics
Product typei
Framework

The cost iceberg

The purchase price is only one part of an automation project.

GPU, simulation assets and hardware adapters
Dependencies, datasets and test infrastructure
Version pinning, documentation and support
Sim-to-real gaps and safety validation