Sunday Robotics Unveils Memo: A Glimpse Into the Future of Autonomous HouseBots
The home robotics race just accelerated again. Sunday Robotics has released new details on Memo, their rapidly advancing household robot designed to perform real, meaningful tasks in unstructured home environments. With every update, Memo inches closer to becoming the most capable autonomous home assistant on the market.
A Robot That Actually Helps Around the House
Sunday Robotics has revealed Memo’s latest verified skill set, and it’s surprisingly practical:
Dishes: Clears the table, scrapes leftover food, and loads the dishwasher.
Coffee: Can confidently pull espresso shots like a trained barista.
Laundry: Handles laundry piles and organizes loose socks, traditionally one of the hardest tasks for robots due to deformable materials.
Each of these skills is being validated directly in real home settings. The team emphasizes that they are “actively improving reliability” so Memo can perform consistently in the messy, unpredictable world of real households, not just clean research labs.
The Most Impressive Skill Yet: Autonomous Sock Folding
Perhaps the standout capability in this new update is Memo’s ability to autonomously stack and fold socks into a neat, tucked bundle — a task that has challenged roboticists for decades due to its complexity, variability, and soft-material dynamics.
Memo performs this entirely on its own:
Identifying individual socks in a pile
Aligning them correctly
Folding and tucking them into a compact, organized bundle
For robotics researchers, this represents a huge leap forward. For families, it’s a small miracle.
Powered by ACT-1: Sunday Robotics’ In-House Foundation Model
Under the hood, Memo is driven by Sunday Robotics’ ACT-1 foundation model, developed entirely in-house. ACT-1 enables Memo to understand tasks, make decisions, and learn from experience using a training pipeline that is both clever and efficient.
Instead of relying solely on synthetic simulations or manual coding, Sunday Robotics trains Memo using real human demonstrations, with humans wearing gloves designed to visually match Memo’s robotic hands. This creates a near-perfect mapping between human motion and robot execution, allowing ACT-1 to generalize subtle, dexterous tasks far more effectively.
This approach is helping Memo master the types of deformable-object manipulation that most robots still struggle with.
Building Toward a Truly Autonomous Home Assistant
What sets Sunday Robotics apart is their commitment to autonomy in real-world environments. Memo isn’t just executing simple, pre-programmed motions, it’s learning how to navigate, manipulate, and make decisions inside ordinary homes filled with clutter, variation, and unpredictability.
As Sunday continues refining reliability and expanding skill coverage, Memo is quickly shaping into one of the most promising home robots in development today.
The future of household automation may not be theoretical for much longer, and Memo looks ready to lead the next wave.