Unitree H2 vs EngineAI T800

The Unitree H2 stands 180 cm tall and weighs 70 kg, prioritizing dexterity with 31 degrees of freedom and a payload capacity of up to 21 kg on its arms. It utilizes a new hip configuration (F-A-R) and a serial stack waist for enhanced articulation. The T800 is slightly taller and heavier at 185 cm and 85 kg, respectively, built with an aerospace-grade aluminum alloy exoskeleton. It features 29 degrees of freedom and emphasizes strength, stability, and thermal management for continuous operations.

The H2 achieves speeds under 2 m/s, focusing on controlled, human-like motion with SLAM-based navigation suitable for collaborative and service tasks. The T800 moves at approximately 1.4 m/s and integrates visual SLAM with LiDAR mapping for robust environmental awareness. Its unique straight-leg walking and real-time micro-adjustments support stable motion over extended periods and demanding physical activities.

Unitree H2 includes cameras and balance/motion sensors typical for humanoid robots, supporting standard SLAM capabilities. In contrast, the T800 incorporates a wide array of sensors such as RGB and stereo cameras, LiDAR, ultrasonic sensors, IMU, gyroscope, force, and temperature sensors, creating a comprehensive 360° omnidirectional perception system for high situational awareness and safety.

The H2 uses AI combined with remote control running on ROS and Linux, enabling flexible integration and research applications. Its control supports sophisticated motion control algorithms to replicate complex dynamic movements. The T800 employs autonomous operation, learned behaviors, and teleoperation using proprietary OS alongside ROS2, Python, and C++, targeting execution of heavy-duty and interactive tasks with adaptive AI.

Unitree has not disclosed detailed battery specifications for the H2, but it likely supports moderate operation times suitable for research and service tasks. The T800 features a solid-state lithium battery designed for 4 years of lifespan with active cooling systems in leg joints, enabling continuous high-intensity activity for 4 to 5 hours per session, ideal for industrial and endurance applications.

The H2 is tailored for service, collaboration, research, and dexterous manipulation in controlled environments such as factories and logistics. Its design favors precision and flexibility over raw strength. The T800 targets heavy-duty industrial operations, robot boxing competitions, human-robot interaction, and logistics automation, emphasizing power, endurance, and multi-modal control for dynamic and demanding tasks.

Unitree H2 operates primarily on ROS and Linux platforms, giving developers open-source tools to customize and extend robot capabilities. It supports software modules for advanced motion control and AI integration. T800 utilizes a mix of proprietary OS, ROS2, and programming languages like Python and C++, reflecting its industrial focus on robust, scalable AI software suited for autonomous and teleoperated tasks.

Both robots incorporate emergency stop functions and obstacle avoidance systems. The T800 additionally includes force limiting, collision detection, and a collaborative mode, reflecting its heavier physical build and operational environments that demand higher safety assurance for close human interaction. The H2 focuses on standard humanoid safety protocols appropriate for research and service settings.

Unitree H2 is estimated to cost between $80,000 and $120,000 USD, positioning it as a mid-range humanoid for research and light industrial use. The T800 is higher priced at $150,000 to $200,000 USD, reflecting its advanced sensors, stronger build, longer battery life, and multi-purpose industrial capabilities.