Unitree's Wang Xingxing: Single-Task Success Rate Nears 100%, Long-Task Planning Awaits Breakthrough

Edited by Aya From Gasgoo

Gasgoo Munich- Unitree Robotics' founder Wang Xingxing revealed the company's latest progress in industrial applications on Feb. 28 at the Annual Conference on Standardization for Humanoid Robots and Embodied Intelligence. He noted that Unitree is attempting to enable robots to achieve "self-production" within its own factories, though the technology still faces a bottleneck in the success rate of long-task planning.

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Image source: Unitree

Wang said robots can achieve a near 100% success rate in repetitive single-task training through algorithm optimization. However, when task chains extend to require autonomous execution of multi-step processes, current models still lag in generalization and decision coherence. He emphasized that motion control is a prerequisite for physical tasks; only once stability and action richness reach a certain threshold can complex processes be reliably replicated.

Regarding industry standardization, Wang argued for building a comprehensive evaluation system focused on operating efficiency, system stability, and human-machine interaction safety. He called on industry peers to join in setting standards, using a normalized framework to guide technological iteration. In his view, the humanoid robot sector is still in its infancy, and a healthy competitive ecosystem is crucial to avoiding low-level redundancy and driving overall progress.

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