Fan Wu ᱨᱮᱱᱟᱜ X1 Pro ᱪᱟᱠᱟ ᱨᱮᱱᱟᱜ ᱦᱩᱢᱟᱱᱚᱭᱰ ᱨᱚᱵᱚᱴ ᱫᱚ ᱨᱚᱵᱚᱴᱤᱠᱥ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2026 A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾
ᱨᱩᱯᱟᱨᱚᱵᱚᱴᱤᱠᱥ· 2026
X1 Pro ᱪᱟᱠᱟ ᱨᱮᱱᱟᱜ ᱦᱩᱢᱟᱱᱚᱭᱰ ᱨᱚᱵᱚᱴ
Fan Wu ᱞᱮᱠᱟᱛᱮ
ᱜᱟᱦᱟᱠ: Shanghai Seer Intelligent Technology Co., Ltd.
ᱨᱚᱵᱚᱴᱤᱠᱥ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ
ᱡᱟᱸᱪ ᱟᱠᱟᱱ ᱮᱣᱟᱨᱰ ᱡᱤᱛᱠᱟᱨ
#163230 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪᱰᱤᱡᱟᱭᱤᱱ
X1 Pro ᱪᱟᱠᱟ ᱨᱮᱱᱟᱜ ᱦᱩᱢᱟᱱᱚᱭᱰ ᱨᱚᱵᱚᱴ ᱵᱟᱵᱚᱛ ᱛᱮ
X1 Pro ᱫᱚ ᱢᱤᱫᱴᱟᱝ ᱪᱟᱠᱟ ᱨᱮᱱᱟᱜ ᱦᱩᱢᱟᱱᱚᱭᱰ ᱨᱚᱵᱚᱴ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸ ᱫᱚ ᱜᱳᱫᱟᱢ ᱟᱨ ᱞᱚᱡᱤᱥᱴᱤᱠᱥ ᱡᱟᱭᱜᱟ ᱠᱚᱨᱮ ᱠᱟᱹᱢᱤ ᱦᱚᱨᱟ ᱞᱟᱹᱜᱤᱫ ᱛᱮ ᱛᱮᱭᱟᱨ ᱟᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱨᱚᱵᱚᱴ ᱫᱚ ᱦᱩᱰᱤᱧ ᱢᱟᱨᱟᱝ, ᱨᱚᱝ ᱟᱨ ᱞᱮᱠᱟᱱ ᱞᱮᱠᱟᱱ ᱵᱟᱠᱥᱟ ᱠᱚ ᱦᱚᱲ ᱛᱮ ᱵᱮᱜᱟᱨ ᱦᱚᱨᱟ ᱛᱮ ᱧᱮᱞ ᱩᱨᱩᱢ, ᱥᱟᱵ ᱟᱨ ᱠᱩᱪᱷᱩᱡ ᱮᱫᱟᱭ᱾ ᱵᱟᱨᱭᱟ ᱦᱚᱨ ᱢᱮᱱᱟᱜ-ᱟ᱾ ᱥᱮᱸᱫᱽᱨᱟ ᱦᱚᱨ ᱨᱮ ᱪᱮᱥᱤᱥ ᱫᱚ ᱞᱟᱛᱟᱨ ᱮᱱ ᱠᱷᱟᱱ ᱢᱤᱫ ᱴᱤᱡᱚᱠ ᱨᱮ ᱜᱮᱞ ᱢᱤᱴᱚᱨ ᱫᱷᱟᱹᱵᱤᱡ ᱩᱥᱟᱹᱨᱟ ᱛᱮ ᱪᱟᱞᱟᱜ ᱫᱟᱲᱮᱭᱟᱜ-ᱟ᱾ ᱠᱟᱹᱢᱤ ᱦᱚᱨ ᱨᱮ ᱪᱮᱥᱤᱥ ᱫᱚ ᱪᱮᱛᱟᱱ ᱥᱮᱫ ᱨᱟᱠᱟᱵᱚᱜ-ᱟ ᱟᱨ ᱨᱚᱵᱚᱴ ᱛᱤ ᱟᱨ ᱢᱩᱪᱟᱹᱫ ᱦᱟᱹᱛᱤᱭᱟᱨ ᱥᱟᱶᱛᱮ ᱢᱤᱫ ᱦᱩᱭ ᱠᱟᱛᱮ ᱠᱟᱹᱢᱤᱭᱟᱭ, ᱡᱟᱦᱟᱸ ᱛᱮ ᱚᱛ ᱠᱷᱚᱱ ᱛᱟᱠ ᱨᱮᱱᱟᱜ ᱪᱮᱛᱟᱱ ᱫᱷᱟᱹᱵᱤᱡ ᱡᱟᱭᱜᱟ ᱟᱭᱫᱟᱨᱮᱭᱟᱭ᱾ ᱪᱟᱹᱞᱤᱥ ᱠᱤᱞᱚᱜᱽᱨᱟᱢ ᱠᱷᱚᱱ ᱡᱟᱹᱥᱛᱤ ᱦᱟᱢᱟᱞ ᱵᱟᱠᱥᱟ ᱦᱚᱸ ᱜᱚᱜ ᱫᱟᱲᱮᱭᱟᱜ-ᱟᱭ᱾
ᱢᱟᱱᱟᱱ
A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ
X1 Pro ᱪᱟᱠᱟ ᱨᱮᱱᱟᱜ ᱦᱩᱢᱟᱱᱚᱭᱰ ᱨᱚᱵᱚᱴ ᱫᱚ A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱥᱩᱱᱫᱚᱨ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ X1 Pro ᱪᱟᱠᱟ ᱨᱮᱱᱟᱜ ᱦᱩᱢᱟᱱᱚᱭᱰ ᱨᱚᱵᱚᱴ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾
ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ
ᱯᱨᱮᱥ ᱠᱤᱴ
ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾
- ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ
- Driven by the FAM series of embodied models developed in house, the X1 PRO wheeled humanoid robot achieves fully autonomous recognition, grasping, and precise handling of boxes of various types, colors, and sizes in unstructured industrial warehousing and logistics scenarios.
- ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ
- 680 mm x 615.5 mm x 1772.6 mm
- ᱴᱮᱜ ᱠᱚ
- Dual Modality, Wheeled, Humanoid Robot, Efficient, Self Adaptive, Autonomous Learning and Evolutionary Capability
- ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ
- The X1 PRO features dual mode switching between locomotion and operation modes. In locomotion mode, the chassis adaptively lowers to enable high-speed movement of up to 10 meters per second. In operation mode, the chassis automatically raises, coordinating the MDOF system of the robotic arm, end effector, and chassis to efficiently perform a variety of tasks. This configuration fully covers the entire operational range from ground level to the top of shelving units.
- ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ
- The X1 PRO operates in highly complex task scenarios. Enabling the model to extract core features from very few samples for generalized learning while maintaining accuracy and stability requires fundamental redesign of the underlying algorithmic architecture, realignment of multimodal data fusion, and logical reconstruction. The technical innovation and difficulty of this development are extremely high, with no established industry reference path available.
- ᱜᱚᱵᱮᱥᱚᱱᱟ
- Leveraging the physical interaction modeling capability of the FAM series, the X1 PRO generates optimal grasping and motion strategies in real time based on box weight, center of gravity, and material, autonomously adjusting force and posture. It can smoothly transport boxes exceeding 40 kilograms while maintaining strong robustness under complex load variations, achieving high load, high dynamic industrial grade full process operation.
- ᱯᱨᱮᱨᱚᱱᱟ
- Industrial robotics is evolving from rigid automation to flexible intelligence. Addressing the pain points of high deployment costs and insufficient task generalization in traditional robots, embodied intelligence technology equips robots with multimodal autonomous perception and learning capabilities, enabling them to achieve human like perception and execution, a pathway considered key to overcoming current technical bottlenecks.
- ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ
- The project began in Shanghai in March 2024, was completed in May 2025, and was exhibited at CeMAT Shanghai 2025.
- ᱠᱟᱹᱢᱤ ᱦᱚᱨ
- Built on a proprietary 3D thermal map alignment architecture, the FAM series models revolutionize the hourglass shaped information processing flow of traditional vision language action models. This allows the X1 PRO to learn and deploy each complex task with only three to five demonstration samples, reducing data requirements to one percent of conventional levels, meeting the industrial need for rapid deployment and flexible response.
- ᱴᱤᱢ ᱥᱮᱫᱟᱭ ᱠᱚ
- Fan Wu
- ᱪᱤᱛᱟᱹᱨ ᱥᱟᱹᱦᱟ
- Fan Wu
ᱥᱯᱚᱱᱥᱚᱨᱰ
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ᱥᱟᱹᱜᱟᱹᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ
ᱢᱤᱫ ᱞᱮᱠᱟ ᱠᱮᱴᱮᱜᱚᱨᱤ ᱠᱷᱚᱱ ᱟᱨᱦᱚᱸ ᱯᱩᱨᱥᱠᱟᱨ ᱧᱟᱢᱟᱠᱟᱱ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱧᱮᱞ ᱢᱮ, ᱡᱚᱜᱭᱟᱛᱟ ᱧᱮᱞ ᱛᱮ ᱵᱟᱪᱷᱟᱣ ᱟᱠᱟᱱᱟ᱾
