KUAVO-MY vs Green: Key Differences

Both robots share identical physical dimensions (170cm x 55cm x 38cm) and weight ranges (50-80 kg), reflecting humanoid form factors optimized for bipedal locomotion and manipulation. They feature robust construction to support carrying capacities of 15-25 kg per arm. The build quality appears consistent, focusing on durability and functionality for industrial and research use.

KUAVO-MY and Green both achieve walking speeds between 1.5 and 3 m/s, employing balance-assisted bipedal locomotion. Navigation systems use Visual SLAM and LiDAR mapping to enable autonomous path planning and environment mapping. Both platforms support teleoperation and learned behavior controls, facilitating flexible deployment in dynamic environments.

Each robot is equipped with an extensive sensor suite including RGB cameras, depth cameras, LiDAR, IMU, force/torque sensors, gyroscopes, accelerometers, and joint encoders. These sensors provide comprehensive environmental perception for navigation, obstacle detection, and task execution. Sensor configurations and functionalities are effectively equivalent, supporting similar levels of situational awareness.

KUAVO-MY integrates advanced AI with imitation learning and supports mainstream large AI models, running on a Linux-based OS with ROS 2 and Python SDK. Green incorporates Sberbank’s proprietary GigaChat AI system, focusing on natural language processing and continuous learning. Both platforms enable autonomous and teleoperated control modes, but differ in AI system origins and interaction modalities.

Both robots share battery specifications with 3-5 years of lifespan and runtime between 3 to 5 hours per charge. Charging times range from 2 to 4 hours, supported by 3-5 kWh, 48V LiPo battery packs. This parity suggests comparable operational endurance and downtime profiles suitable for extended deployment scenarios.

KUAVO-MY and Green are designed for overlapping applications, including manufacturing, logistics, research, infrastructure inspection, and remote operations. Their similar hardware and software capabilities make them adaptable to complex environments requiring autonomous navigation and manipulation, with emphasis on safety and operational flexibility.

Both robots operate on Linux-based systems with ROS 2 support, enabling integration with existing robotics middleware and tools. KUAVO-MY offers a Python SDK and cloud dashboard for remote monitoring and deployment, while Green leverages Sberbank’s AI platform for continuous learning and interaction. These software ecosystems facilitate customization and scalability for varied industrial and research needs.

Safety implementations are consistent across both robots, including force limiting, collision detection, emergency stop mechanisms, and redundant sensor arrays. These measures ensure safe operation alongside human workers and protect the robot hardware during unintended interactions or faults.