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PUDU D7

PUDU D7

PUDU D7

Last updated: May 31, 2026
Locomotion Type
Wheeled
Stage
Pilot Delivery
Height
165 cm
Degrees of Freedom
30 DOF
Max Speed
7.2 km/h
Dual-Arm Payload
20 kg
Battery Life
8 h
Release Year
2024
Computing
200 TOPS

Product Overview

A semi-humanoid robot featuring a wheeled chassis combined with a humanoid upper body, optimized for mobility and manipulation in service scenarios. It is built on a high-computing-power platform, equipped with high-precision positioning and navigation, and supports high-performance position-force hybrid control. The system integrates multimodal perception and a high-performance omnidirectional mobile base, along with high load-to-weight ratio bionic robotic arms. The robot features high-degree-of-freedom motion capabilities and supports evolving generalized manipulation through continuous learning. Pudu Robotics integrates multiple data-driven embodied intelligence approaches. For large-model applications, it adopts a “brain–cerebellum” decoupled architecture, enabling layered model collaboration to achieve AI-driven interaction and embodied intelligence learning in the PUDU D7. The D7 is capable of understanding and responding to complex instructions across different service scenarios. Through continuous learning and iteration, it optimizes its operational strategies, gradually adapting to and efficiently completing a wide range of tasks.

Key Highlights

A semi-humanoid robot featuring a wheeled chassis combined with a humanoid upper body, optimized for mobility and manipulation in service scenarios.
It is built on a high-computing-power platform, equipped with high-precision positioning and navigation, and supports high-performance position-force hybrid control. The system integrates multimodal perception and a high-performance omnidirectional mobile base, along with high load-to-weight ratio bionic robotic arms.
The robot features high-degree-of-freedom motion capabilities and supports evolving generalized manipulation through continuous learning.
Pudu Robotics integrates multiple data-driven embodied intelligence approaches. For large-model applications, it adopts a “brain–cerebellum” decoupled architecture, enabling layered model collaboration to achieve AI-driven interaction and embodied intelligence learning in the PUDU D7.
The D7 is capable of understanding and responding to complex instructions across different service scenarios. Through continuous learning and iteration, it optimizes its operational strategies, gradually adapting to and efficiently completing a wide range of tasks.

Target Scenarios

Restaurant servicedeliveryhospitality
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