2025 | Professional

MUSE Design Awards Platinum Winner

Walker S2 Humanoid Robot

Entrant

UBTECH ROBOTICS CORP LTD

Category

Product Design - Robotics

Client's Name

-

Country / Region

China

Gallery

About The Entry

Walker S2 is the world's first humanoid robot that can autonomously swap its own batteries. It is powered by the Swarm Brain Network 2.0 and a proprietary Co-Agent intelligence system, creating a unique dual-loop AI architecture. This design allows it to evolve in two ways: mastering tasks independently and collaborating seamlessly as a fleet. As China's first humanoid with a pure RGB binocular vision system in its head, Walker S2 has superior perception and obstacle avoidance for complex environments. Advanced AI algorithms give it human-like dynamic balance and a natural gait, enabling it to walk stably on uneven terrain. Combined with 24/7 operation, dynamic power management, and redundant safety features, Walker S2 significantly boosts productivity, safety, and reliability in industrial settings. Walker S2 achieves 24/7, non-stop operation with its groundbreaking autonomous battery swapping. It dynamically manages its power, choosing to swap or charge based on the priority of its tasks. Safety is paramount. The hot-swappable batteries feature physical isolation and quick-disconnect mechanisms to eliminate electrical risks. For uninterrupted performance, a dual-battery system provides instant backup for mission-critical operations. This focus on redundancy makes Walker S2 exceptionally safe and reliable for any factory setting. Equipped with domestic first pure RGB binocular vision head, Walker S2 expertly perceives and navigates complex environments. Its vision system can also be tailored for specific customer tasks. Movement is powered by a sophisticated AI learning framework. This gives the robot a stable and natural human-like walk, allowing it to confidently handle dynamic balance and tricky surfaces. The result is superior autonomous movement in the real world. Through swarm intelligence–driven multi-robot collaboration, the system enables intelligent upgrades in industrial scenarios.

Credits

Jiao Jichao
Li Yiping
Liu Hang
Song Xiaoning
Zhao Quan
Xu Deng
Yang Yuhao
Ruan Lixia
Gao Lei
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