Green by Sberbank vs Cruzr by UBTECH Robotics

Both Green and Cruzr S2 share similar dimensions and weight, with Green measuring 170cm x 55cm x 38cm and Cruzr S2 slightly taller at 176cm but identical in width and depth. Their weight range is also comparable at 50-80 kg. These humanoid robots are constructed to balance mobility and payload capacity, supporting industrial use cases with robust physical structures.

Green offers a walking speed range of 1.5 to 3 m/s, slightly more variable than Cruzr S2’s fixed 2 m/s. Both utilize Visual SLAM and LiDAR mapping combined with balance-assisted walking to enable autonomous navigation and obstacle avoidance. Their navigation systems support teleoperation and learned behaviors, facilitating effective movement in complex environments.

Each robot is equipped with an extensive sensor array including RGB cameras, depth cameras, LiDAR, IMU, force/torque sensors, gyroscopes, accelerometers, and joint encoders. This sensor suite enables comprehensive environmental perception, spatial awareness, and precise motion control, critical for their roles in inspection, logistics, and remote operations.

Green integrates Sberbank’s GigaChat AI system, supporting natural language interaction and continuous learning from real-world data, enhancing spatial reasoning and task decomposition. Cruzr S2 employs UBTECH’s proprietary AI stack with autonomous and learned behaviors, though specific AI model details are less publicly disclosed. Both platforms support complex decision-making and adaptive behaviors.

Both robots feature batteries designed to last between 3 to 5 years, with 2 to 4 hours required for charging. This equivalence in power systems supports extended operational use with minimal downtime, suitable for industrial and research settings demanding reliable performance.

Green and Cruzr S2 are both tailored for manufacturing, research, logistics, infrastructure inspection, and remote operations. Their capabilities in manipulation, navigation, and AI make them adaptable to diverse industrial tasks, although Green’s embedded AI and dexterous manipulation may offer advantages in complex task automation.

Both robots incorporate safety measures including force limiting, collision detection, emergency stop functions, and redundant sensors. These features ensure safe operation in human-centric environments and compliance with industrial safety standards.

Green and Cruzr S2 both operate on Linux-based systems with ROS 2 support and provide Python SDKs for programming and customization. This common software foundation facilitates integration with existing robotic workflows and enhances developer flexibility.