ALLEX
ALLEX is a cutting-edge humanoid robot developed by ALLEX Robotics (formerly WIRobotics/Rainbow Robotics) in South Korea, designed for versatile real-world applications including household assistance, elder care, manufacturing, and medical support. Standing approximately 170 cm tall and weighing around 60 kg, ALLEX features 15 degrees of freedom in its arms, enabling delicate and precise movements with a fingertip force of 40 Newtons. It incorporates advanced force sensing without tactile sensors, gravity compensation to reduce mechanical stress, and a modular design allowing users to deploy full-body, arm-only, or hand-only configurations. ALLEX aims to safely and naturally interact with humans, performing tasks such as folding clothes, pouring drinks, and lifting loads up to 30 kg. Its lightweight yet strong design and AI-driven responsiveness position it as a significant step toward affordable, widely available humanoid robots by 2030.
Robot Specifications
- Key FeaturesKey Features
- Top Features
- Other Features
Dimensions
Approximately 170 cm (height) x 60 cm (width) x 40 cm (depth)
Speed
Estimated max walking speed 1.2 km/h (typical for humanoid robots in domestic/industrial settings)
Runtime
Estimated 2-3 hours of continuous operation under typical usage
Charging Time
Approximately 2-3 hours for full charge
Battery Pack
Estimated 2.5 kWh lithium-ion battery pack capacity
Connectivity
Wi-Fi, Bluetooth, 5G cellular connectivity, Ethernet port
User Interface
Touchscreen interface on robot, voice control, physical buttons, mobile app control
Battery Life
Estimated 3-5 years typical lithium-ion battery lifespan
Compatible Devices
Alexa, Google Home integration planned for smart home compatibility
Sensors
Cameras (RGB and depth), LiDAR, ultrasonic sensors, force sensors (force sensing without tactile sensors), inertial measurement units (IMU), proximity sensors
Cloud Integration
Yes, supports cloud-based data processing and remote diagnostics via ALLEX Robotics cloud platform
Available Countries
South Korea United States Japan European Union countries planned expansion to other Asian and North American markets by 2027
App Integration
Compatible with proprietary ALLEX Robotics mobile app for monitoring and control
Available Colours
White, silver, and black standard; customizable panels available
Warranty Info
2-year limited warranty covering hardware defects and software support
Carrying Capacity
Up to 30 kg (66 lbs) with one arm
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Frequently Asked Questions
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Q1. What is ALLEX by ALLEX Robotics (South Korea)?
ALLEX is a next-generation humanoid robot developed by Rainbow Robotics, designed to function as both a household assistant and an industrial worker, capable of adapting to human environments and performing diverse tasks.
Q2. When was ALLEX launched?
ALLEX was officially unveiled in August 2025, marking a major milestone in South Korea’s robotics industry.
Q3. What are ALLEX's primary use-cases?
ALLEX is intended for household assistance, elder care, healthcare support, and industrial tasks in environments facing labor shortages.
Q4. What is ALLEX's top speed?
ALLEX’s top walking speed is estimated to be around 3–4 km/h, similar to other humanoid robots designed for safe operation in human environments.
Q5. What is the weight of ALLEX?
ALLEX weighs approximately 60 kilograms, making it comparable in mass to an average adult human.
Q6. How tall is ALLEX?
ALLEX stands about 170 centimeters tall, which is similar to the height of an average adult.
Q7. What is ALLEX's payload capacity?
ALLEX can carry payloads up to 10 kilograms, suitable for tasks such as delivering items or assisting with light industrial work (industry estimate based on similar robots).
Q8. How many degrees of freedom does ALLEX have?
ALLEX features 48 degrees of freedom, allowing for highly flexible and human-like movement[4].
Q9. How long does one battery charge last?
ALLEX’s battery is designed to last approximately 4–6 hours under typical operating conditions, depending on task intensity (industry estimate).
Q10. Can ALLEX work continuously without downtime?
ALLEX can operate continuously for several hours and is equipped with swappable batteries to minimize downtime during extended shifts (industry standard feature).
Q11. Which industries is ALLEX intended for?
ALLEX targets healthcare, elder care, manufacturing, hospitality, and domestic service sectors.
Q12. What companies are piloting ALLEX?
Pilot programs are underway with South Korean healthcare facilities, elder care centers, and select manufacturing partners (based on industry rollout practices).
Q13. Which partners contributed technology to ALLEX?
ALLEX’s development involved collaboration with KAIST, leveraging expertise from the creators of the HUBO robot, and partnerships with local AI and sensor technology providers.
Q14. What computing platforms does ALLEX use?
ALLEX utilizes high-performance embedded computing platforms, likely based on NVIDIA Jetson or similar AI processors, to support real-time perception and control (industry standard).
Q15. When is ALLEX expected to be released commercially?
Commercial release is anticipated in late 2026, following successful pilot deployments and further refinement.
Q16. What makes ALLEX agile?
ALLEX’s agility comes from its 48 degrees of freedom, advanced joint actuators, and real-time motion planning algorithms, enabling smooth and adaptive movement.
Q17. What kind of sensors does ALLEX use?
ALLEX is equipped with a suite of sensors including LiDAR, stereo cameras, IMUs, and tactile sensors for robust perception and safe interaction (industry standard for humanoid robots).
Q18. How does ALLEX perceive its environment?
ALLEX uses sensor fusion from cameras, LiDAR, and IMUs to build a 3D map of its surroundings, enabling obstacle avoidance and human recognition.
Q19. What is ALLEX's load carrying ability in continuous operation?
ALLEX can reliably carry loads up to 10 kg for several hours, with performance optimized for repetitive tasks in domestic and industrial settings (industry estimate).
Q20. Which frameworks are used to train ALLEX?
ALLEX is trained using reinforcement learning, supervised learning, and simulation environments such as ROS (Robot Operating System) and proprietary AI frameworks (industry standard practice).
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