Memo
Memo is a home-focused humanoid-style robot developed by Sunday Robotics to autonomously perform domestic chores such as dishwashing, laundry folding, tidying, and espresso preparation. Standing 1.7 meters tall on a wheeled base, it features a torso with two multi-DoF arms and dual grippers, capable of reaching from floor level up to around 2.1 meters (7 feet). Designed for family environments, Memo emphasizes safety and stability through a low center of gravity, compliant control, and a soft silicone exterior. It learns from real household data via Sunday’s Skill Capture Glove, mastering long-horizon tasks in unstructured homes.
Quick Overview & Key Facts
Memo is a humanoid system developed by Sunday Robotics in United States and launched in 2025. Starting price is estimated at Expected Pricing: USD 10,000–20,000. It is currently ranked #31 in most-viewed humanoid robots on Origin of Bots. It supports Household objects, dishes, laundry, small tools. Operating battery runtime is rated at 4 hours. Primary applications include Dishwashing, laundry folding, tidying, table clearing, espresso preparation, home organization, daily household routines. Featured in editorial articles including “Top 10 Home Humanoid Robots for Domestic Tasks & Personal Assistance in 2026”.
What Can Memo Do?
Core operational tasks and activities demonstrated or performed by Memo.
Real-World Applications of Memo
Industries, working environments, and deployment suitability for Memo.
Memo Capabilities
Inherent physical, perceptual, and cognitive abilities built into Memo.
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Frequently Asked Questions
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Q1. What is Memo, and what problem is it designed to solve?
Memo is a wheeled humanoid home robot developed by Sunday Robotics designed to perform repetitive household chores and reduce routine manual tasks in real homes, according to the manufacturer.
Q2. What are the main capabilities and key features of Memo?
According to the company, Memo features dual arms with dexterous grippers, autonomous navigation, a soft silicone shell, adjustable reach up to about 7 feet, and on-device skills trained from human demonstrations.
Q3. Who is Memo built for, and which industries can benefit from it?
Memo is positioned for busy households and early commercial deployments in home-focused services; the company describes potential interest from eldercare, hospitality, and property-management use cases.
Q4. Is Memo a commercial product or still a research prototype?
Sunday presents Memo as an early commercial product undergoing development and limited deployment rather than a purely lab research prototype, with public demos and pilot programs reported by the company.
Q5. Is Memo currently available for purchase, and when is it expected to ship?
The company has announced beta availability targeting late 2026 and states that shipping timelines depend on distributor fulfillment following pre-orders.
Q6. How does Memo actually work in real-world environments?
Memo operates autonomously using machine-learned policies trained from human demonstrations captured with a proprietary Skill Capture Glove, and the firm reports using data collected in real homes to improve robustness.
Q7. When was Memo announced or officially launched?
Memo was unveiled when Sunday emerged from stealth and publicly demonstrated the robot after the company was founded in April 2024; the public reveal occurred in 2025.
Q8. How is Memo different from other robots in the same category?
Sunday positions Memo as trained primarily from large-scale real-home demonstration data collected via a wearable glove rather than traditional teleoperation or solely simulated data, which the company says improves task transfer to real homes.
Q9. Does Memo require additional development or customization after purchase?
The company indicates Memo ships with pre-trained skills but also supports ongoing skill updates and customization through its software platform and developer programs, so some post-purchase configuration may be required for site-specific tasks.
Q10. What is the future roadmap or planned upgrades for Memo?
The company has announced plans to expand skills via continued data collection, roll out beta programs, enlarge distribution, and deliver software and capability updates over time as part of its stated roadmap.
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