2026 WRC甩出工业商用家庭消费实景应用答卷，优必选的底牌是“具身智能”
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Merged summary
TL;DR - At WRC 2026, UBTECH showcased humanoid robots performing sustained tasks across industrial, commercial, and home settings, backed by its self-developed Thinker embodied-intelligence stack. The demonstrations reflect the industry’s shift from prototype spectacles toward deployable systems, real-world data loops, and commercial scalability.
- Thinker combines a foundation model, the Thinker-WM world model, and tiered 1B–100B Thinker-VLA vision-language-action models for perception, prediction, planning, and execution.
- UBTECH reports fully on-device VLA deployment, with industrial inference efficiency improving 176%, storage use falling 60%, and GPU memory requirements dropping from 64GB to 32GB.
- Cruzr Y1 and S2 robots demonstrated autonomous, day-long material handling, palletizing, and parcel-sorting workflows; Walker C1 and U1 targeted service and companion applications.
- The company is building an ecosystem around embodied-AI chips, dexterous hands, servo systems, synthetic data, and industry partnerships to address data, hardware, and supply-chain constraints.
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2026 WRC甩出工业商用家庭消费实景应用答卷，优必选的底牌是“具身智能”
TL;DR - At WRC 2026, UBTECH showcased humanoid robots performing sustained tasks across industrial, commercial, and home settings, backed by its self-developed Thinker embodied-intelligence stack. The demonstrations reflect the industry’s shift from prototype spectacles toward deployable systems, real-world data loops, and commercial scalability.
- Thinker combines a foundation model, the Thinker-WM world model, and tiered 1B–100B Thinker-VLA vision-language-action models for perception, prediction, planning, and execution.
- UBTECH reports fully on-device VLA deployment, with industrial inference efficiency improving 176%, storage use falling 60%, and GPU memory requirements dropping from 64GB to 32GB.
- Cruzr Y1 and S2 robots demonstrated autonomous, day-long material handling, palletizing, and parcel-sorting workflows; Walker C1 and U1 targeted service and companion applications.
- The company is building an ecosystem around embodied-AI chips, dexterous hands, servo systems, synthetic data, and industry partnerships to address data, hardware, and supply-chain constraints.