Compare AlphaBot 2 by AI² Robotics & Walker Tienkung by UBT

AlphaBot 2 lists dimensions of 170cm x 55cm x 38cm and a variable weight range of 50–80 kg, indicating configurable payload or modularity options and a narrower footprint for aisle-based work. Walker Tienkung is slightly larger at 172 x 60 x 40 cm with a fixed weight of 73 kg, reflecting a heavier, more robust chassis for payload or stability in dynamic tasks. Both are humanoid in form factor and intended for industrial/research contexts, but AlphaBot 2’s weight range suggests multiple configurations while Walker Tienkung’s single weight implies a single production configuration.

AlphaBot 2 specifies walking speed between 1.5–3 m/s and uses visual SLAM, LiDAR mapping and balance-assisted walking for locomotion and stability, supporting both teleoperated and autonomous motion. Walker Tienkung reports a speed of 7 km/h (≈1.94 m/s) and lists indoor SLAM, visual SLAM and LiDAR mapping for navigation, focusing on indoor and mission scenarios without teleoperation listed. Both platforms rely on SLAM and LiDAR for mapping and autonomy, with AlphaBot 2 explicitly including balance assistance and teleoperation as mobility features.

AlphaBot 2 carries RGB cameras, a depth camera, LiDAR, IMU, force/torque sensors, gyroscope, accelerometer and joint encoders, supporting whole-body perception and force-aware manipulation. Walker Tienkung includes RGB and stereo cameras, LiDAR, ultrasonic sensors, IMU, gyroscope, force sensors and temperature sensing, adding ultrasonic coverage and stereo vision for depth redundancy. Both use LiDAR and IMU for mapping and inertial stabilization, while AlphaBot 2 emphasizes depth-camera and force/torque arrays for manipulation and Walker Tienkung emphasizes stereo and ultrasonic for redundancy in close-range sensing.

AlphaBot 2 supports autonomous and learned behaviors plus teleoperation and is distributed with a Linux-based OS, ROS 2 support and a Python SDK to enable on-device models and integration into research pipelines. Walker Tienkung supports autonomous and learned behaviors but does not list teleoperation; its software stack includes ROS2, proprietary components and both Python and C++ interfaces to support optimized onboard and external algorithms. Both platforms target learned-autonomy workflows and ROS2 interoperability, with AlphaBot 2 providing an explicit teleoperation interface and Python SDK for higher-level experimentation.

Both robots list battery lifetimes of 3–5 years for the battery pack; AlphaBot 2’s runtime is given as 3–5 hours with a 3–5 kWh, 48V LiPo pack and a 2–4 hour charge time in related specs. Walker Tienkung lists a 3–5 year battery life but provides no explicit runtime in the provided data; both are designed for multi-shift or mission deployments with serviceable battery packs. Comparable battery lifetimes indicate similar lifecycle maintenance expectations, while AlphaBot 2 supplies more explicit runtime and pack-capacity figures for operational planning.

AlphaBot 2 lists manufacturing, research, logistics, infrastructure inspection and remote operations as target use cases, aligning with its sensor set and teleoperation capability for inspection and manipulation tasks. Walker Tienkung lists scientific research, scenario innovation, logistics, rescue missions and industrial automation, reflecting its stereo/ultrasonic sensing and speed specification aimed at scenario-driven and rescue tasks. Both are applicable to logistics and research, with AlphaBot 2 leaning toward precision inspection and manipulation and Walker Tienkung toward scenario-driven missions and rescue/innovation deployments.

AlphaBot 2 runs a Linux-based OS, supports ROS 2 and provides a Python SDK, suggesting an open integration pathway for research and development teams. Walker Tienkung supports ROS2 and provides proprietary software with Python and C++ options, indicating a mixed ecosystem where optimized proprietary modules coexist with open ROS tooling. Both platforms offer ROS2 interoperability, but Walker Tienkung’s proprietary components and C++ interfaces may target performance-critical integrations while AlphaBot 2 emphasizes Python accessibility and teleoperation tools.

AlphaBot 2 lists force limiting, collision detection, emergency stop and redundant sensors as safety measures to protect people and hardware during manipulation and teleoperation. Walker Tienkung lists force limiting, collision detection, emergency stop and a collaborative mode for safe human-robot interaction in shared workspaces. Both platforms include core safety features (force limiting, collision detection, E-stop); Walker Tienkung explicitly includes a collaborative mode while AlphaBot 2 highlights sensor redundancy for safety.

AlphaBot 2 is quoted with a price range of $50,000–$150,000, providing a broad band that suggests multiple configurations or tiers for different capabilities. Walker Tienkung is quoted at $65,000–$115,000, a narrower band that overlaps AlphaBot 2’s mid-range and implies a more consistent configuration cost. Both price ranges place them in the research/industrial humanoid segment, with AlphaBot 2 allowing lower-entry and higher-end configurations and Walker Tienkung positioned within a mid-to-high bracket.