Sunday Robotics

Company Information

Sunday builds AI-powered humanoid robots like Memo for household chores such as laundry and table clearing.

Headquarters

Mountain View, California, USA

Year Founded

2024

Website

Sector

Industries

Consumer Robotics, Home Automation, Consumer Electronics, Artificial Intelligence, Smart Home Services, Household Services

What Is Sunday Robotics?

Sunday Robotics is a robotics company developing AI-powered robots for use in homes. The company combines robotic hardware, artificial intelligence, machine learning, and real-world training data to create robots capable of performing physical household tasks.

Its primary platform is Memo, a home robot designed to handle repetitive chores such as clearing tables, loading dishwashers, folding laundry, and other tasks. Sunday also develops the underlying AI systems and data-collection methods used to teach robots physical skills.

What Does Sunday Robotics Do?

Sunday Robotics develops home robots that can perform repetitive physical tasks in everyday household environments. Its main robot, Memo, is designed to interact with objects, navigate homes, and carry out multi-step chores without requiring users to manually control every movement.

The company focuses on tasks such as picking up utensils, clearing dishes, loading a dishwasher, folding socks, handling glassware, and preparing espresso. Sunday trains Memo using real-world demonstrations and its Skill Capture Glove, allowing human movements and physical skills to contribute to the robot’s training data.

Sunday Robotics Technology

Sunday Robotics combines robotics hardware with AI models designed to control physical actions in real-world environments. A central part of its technology is ACT-1, a robot foundation model developed in-house. Sunday says ACT-1 can perform long-horizon mobile manipulation tasks and generalize to new environments without relying on traditional teleoperation trajectories.

The company also uses its Skill Capture Glove to collect human movement data that can be translated into information useful for robot training. This creates a connection between human demonstrations, model training, robot control, and real-world evaluation.

Sunday’s approach combines machine learning, robot manipulation, computer vision, motion control, physical dexterity, and real-world data collection. The company has also introduced ACT-2 research focused on improving reliability and generalization.

Why Sunday Robotics Matters

Sunday Robotics is relevant to the emerging field of embodied AI, where artificial intelligence is developed to understand and act within physical environments rather than operate only as software.

The company is applying this approach to one of the most unstructured environments for robotics: the home. Household environments contain different layouts, objects, surfaces, people, pets, and routines, creating a broad range of physical situations for an autonomous robot to handle.

Sunday’s focus on collecting real-world household data and developing its own robot foundation models makes the company part of a broader shift toward general-purpose robots that can learn and perform multiple physical tasks.

Sunday Robotics Products & Platforms

Memo

Memo is Sunday Robotics’ primary home robot. It is designed for busy households and performs repetitive physical tasks including clearing tables, handling dishes, loading a dishwasher, folding socks, and other household activities.

Sunday says Memo can operate autonomously in homes it has not previously encountered and continues to acquire new skills through the company’s training and evaluation process. The company currently describes Memo’s public beta program as launching in late 2026.

Skill Capture Glove

The Skill Capture Glove is a data-collection system developed by Sunday Robotics to capture human movements that can be used to train its robotic systems. The company uses the glove to translate human physical demonstrations into data that contributes to robot learning and its skill library.

ACT-1

ACT-1 is Sunday’s in-house robot foundation model. It is designed to control Memo’s physical movements and perform complex, multi-step manipulation tasks. Sunday has demonstrated ACT-1 performing tasks such as moving dinnerware from a table to a dishwasher while navigating a home environment.

Sunday Robotics Applications

Sunday Robotics focuses primarily on household automation. Memo is designed to perform repetitive physical chores that take place in kitchens, dining areas, laundry spaces, and other parts of a home.

Documented applications include clearing tables, picking up utensils, loading dishwashers, handling delicate glassware, folding socks, arranging objects, and operating a consumer espresso machine. The broader application is autonomous domestic assistance, where one robot can learn and perform multiple physical tasks rather than being designed for only one specific chore.

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Frequently Asked Questions

What is Memo by Sunday Robotics?

Memo is Sunday Robotics’ home robot designed to perform repetitive household tasks such as clearing tables, loading dishwashers, folding socks, and handling other everyday chores.

How does Sunday Robotics train its home robots?

Sunday uses real-world household data and human demonstrations to train its robots. Its Skill Capture Glove captures human movements that can be converted into training data for robotic skills.

What is ACT-1 in Sunday Robotics?

ACT-1 is a robot foundation model developed by Sunday Robotics. It is designed to control complex physical actions and enable Memo to perform longer sequences of manipulation tasks in real-world environments.

Can Memo perform multiple household tasks?

Yes. Sunday has demonstrated Memo performing multiple tasks, including table clearing, dishwasher loading, handling glassware, folding socks, and operating an espresso machine.

When will Sunday Robotics launch Memo?

Sunday currently says its home robot will enter a beta program in late 2026. The company announced in March 2026 that public deployment would begin with its beta program later that year.

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