Skip to content
X1 Pro 바퀴형 휴머노이드 로봇 by Fan Wu
X1 Pro 바퀴형 휴머노이드 로봇 by Fan Wu
X1 Pro 바퀴형 휴머노이드 로봇 by Fan Wu
X1 Pro 바퀴형 휴머노이드 로봇 by Fan Wu

은 로봇공학 · 2026

X1 Pro 바퀴형 휴머노이드 로봇

by Fan Wu

  • A' Design Award 은상 2026 in 로봇공학
  • CLIENT: Shanghai Seer Intelligent Technology Co., Ltd.
  • Estimated Number of Design Views: 22,122
  • Verification code 87DE2424FC · Verify this award
Email this page

Colors

About X1 Pro 바퀴형 휴머노이드 로봇

X1 Pro는 창고 및 물류 시설의 하역 작업을 위해 설계된 바퀴형 휴머노이드 로봇이다. 이 로봇은 수동 안내 없이 다양한 종류와 색상, 크기의 상자를 인식하고 파지하여 이동시킨다. 두 가지 모드를 제공한다. 주행 모드에서는 섀시가 낮아져 초당 최대 10미터의 빠른 이동이 가능하다. 작업 모드에서는 섀시가 상승하여 로봇 팔과 엔드 이펙터와 함께 작동하며, 바닥 높이부터 선반 상단까지의 범위를 커버한다. 40킬로그램 이상의 상자도 운반할 수 있다.

About the A' Design Award 은상

X1 Pro 바퀴형 휴머노이드 로봇, 이 작품은 A' Design Award 은상 수상작으로, 최상급이며 아름답고 인상적인 디자인에 수여되는 비범하게 권위 있는 인정입니다. 은상 수상작은 대단히 뛰어나고 매우 창의적인 작품으로, 디자이너의 탁월한 전문 지식, 재능, 통찰력을 보여 줍니다. X1 Pro 바퀴형 휴머노이드 로봇, 이 작품은 훌륭한 대표작으로서 매우 전문적이고 깊이 있게 혁신적일 것으로 기대됩니다. 이 은상 수상 디자인은 예술, 과학, 디자인, 기술의 경계를 넓히는 데 이바지하는 주목할 만하고 찬사를 받는 발명품입니다. X1 Pro 바퀴형 휴머노이드 로봇, 이 작품은 모두가 부러워하는 창작물로서 욕망을 일깨우고 긍정적인 감정을 불러오며 경탄과 경이로움을 불러일으킵니다.

Press Kit

Unique Properties
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.
Dimensions & Packaging
680 mm x 615.5 mm x 1772.6 mm
Tags
Dual Modality, Wheeled, Humanoid Robot, Efficient, Self Adaptive, Autonomous Learning and Evolutionary Capability
Production Technology
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.
Design Challenge
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.
Research
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.
Inspiration
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.
Project Duration
The project began in Shanghai in March 2024, was completed in May 2025, and was exhibited at CeMAT Shanghai 2025.
Operation Flow
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.
Image Credits
Fan Wu

Related Designs

View All

Good Design Deserves Great Recognition

Nominate Your Work for the A' Design Award.

Nominate