Event
ACT-1: A Robot Foundation Model Trained on Zero Robot Data
Evidence notes
- Sunday presents ACT-1 as a robot foundation model trained without teleoperation trajectories, using human-aligned Skill Capture Glove data and Skill Transform to scale manipulation learning.
- The release highlights ultra long-horizon mobile manipulation (e.g., table-to-dishwasher) and zero-shot generalization in unseen homes with map-conditioned navigation.
- The post is dated November 19, 2025 on the company journal and serves as the primary research narrative for the ACT-1 / Memo stack.
Company context
Sunday Robotics is building general-purpose robots designed to operate in home environments, combining hardware and control systems into a single platform. A core part of its approach is collecting real-world human data using glove-based systems, capturing how tasks are performed and using that data to train robot behaviour.
Context
- Company
- Sunday Robotics
- Segment
- Humanoid
- Event type
- Research Publication
- Added to Korthos
- Apr 5, 2026
- Geography
- Mountain View, California · United States