Ultra-lightweight humanoid robotic arms

Ultra-lightweight humanoid robotic arms

RealMan Robotics is unveiling its latest robotic arms, joint model and embodied intelligence platforms, including the ECO series, RM series robotic arms, WHJ series joint modules, RealEye Vision Sensing Platform, Embodied Intelligence Dual-Arm Development Platform, Embodied Dual-Arm elevation Platform, as well as AI physiotherapy Robot, etc.  The ECO65 series robotic arm feature a lightweight design…


RealMan Robotics is unveiling its latest robotic arms, joint model and embodied intelligence platforms, including the ECO series, RM series robotic arms, WHJ series joint modules, RealEye Vision Sensing Platform, Embodied Intelligence Dual-Arm Development Platform, Embodied Dual-Arm elevation Platform, as well as AI physiotherapy Robot, etc. 

The ECO65 series robotic arm feature a lightweight design and energy-efficient technology, ensuring optimal performance with reduced energy consumption. It is suitable for a variety of industrial applications, such as assembly, handling, and welding, and can improve productivity and reduce costs.

The RM Series -ultra-lightweight humanoid robotic arm
The RM Series -ultra-lightweight humanoid robotic arm

The RM series, RealMan’s ultra-lightweight humanoid robotic arms, feature high speed, precision, flexibility, and reliability. They are suitable for scenarios such as new retail, smart dining, electronics assembly, and intelligent inspections, significantly boosting productivity while lowering operational costs.

The WHJ series joint modules incorporate innovative technologies and materials, offering high precision, stability, and durability. These modules maintain reliable performance even in harsh environments, making them suitable for a wide range of robotic and automation applications, delivering flexible and dependable motion control solutions to users.

The WHJ series joint modules i

RealMan´s dual-arm embodied intelligence development platform is a state-of-the-art data collection device designed for large embodied models. Using imitation learning algorithms and a combination of 50 task demonstrations with static data training, it can achieve a task success rate of up to 90%. The standard configuration includes dual main arms for operation, a passive secondary arm, a global camera for object recognition, and a localised camera mounted on the secondary arm.

Embodied intelligence development platform for large models

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