Jueying

Name: Jueying
Brand: Deep Robotics

High-performance quadruped robot for industrial applications

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Jueying is an advanced quadruped robot developed by Deep Robotics for industrial inspection, security patrol, and complex terrain navigation. Featuring 12 degrees of freedom and robust environmental adaptability with IP54 rating, it excels in autonomous navigation and obstacle avoidance. The robot is designed for industries requiring reliable mobile platforms in challenging environments including manufacturing, energy, and public safety sectors.

Released: 2018

Overview

Jueying, which translates to "absolute shadow" in Chinese, represents Deep Robotics' flagship quadruped robot platform designed to bring legged robotics into industrial applications. Since its initial development, the robot has evolved through multiple iterations, each incorporating advanced control algorithms and mechanical improvements to achieve superior stability and adaptability in real-world environments.

The robot's biomimetic design enables it to traverse stairs, slopes, and uneven terrain that would be challenging or impossible for wheeled or tracked vehicles. With its 12-degree-of-freedom leg system, Jueying demonstrates remarkable agility and balance recovery, allowing it to maintain stability even when subjected to external forces or operating on unstable surfaces.

Designed with industrial deployment in mind, Jueying combines autonomous navigation capabilities with a modular payload system that supports various sensors and tools. This versatility makes it suitable for applications ranging from factory inspection and infrastructure monitoring to emergency response and hazardous environment exploration.

Key Features

Advanced Mobility: Capable of climbing stairs, navigating rough terrain, and recovering from disturbances with dynamic balance control
Autonomous Navigation: Integrated LiDAR and depth cameras enable SLAM-based mapping and obstacle avoidance in complex environments
High Payload Capacity: Supports up to 20 kg of additional equipment including inspection tools, sensors, and manipulators
Environmental Resistance: IP54 rating provides protection against dust and water ingress for reliable outdoor operation
Open Development Platform: ROS compatibility and comprehensive SDK enable customization and integration with third-party systems
Multi-Mode Communication: WiFi, Ethernet, and 4G connectivity options ensure reliable remote control and data transmission
Extended Runtime: Up to 2 hours of continuous operation on a single battery charge

Applications

Jueying serves critical roles in industrial inspection and monitoring applications where traditional wheeled robots cannot access. Power plants, oil and gas facilities, and manufacturing complexes deploy the robot for equipment inspection, thermal imaging surveys, and hazardous material detection. Its ability to navigate multi-level industrial structures makes it particularly valuable for routine facility patrols and emergency response scenarios.

The robot has also found applications in public safety and security operations, including perimeter surveillance, search and rescue missions, and disaster assessment. Research institutions and universities utilize Jueying as a development platform for robotics research in areas such as legged locomotion, autonomous navigation, and human-robot interaction.

Technical Highlights

Deep Robotics has developed proprietary control algorithms that enable Jueying to achieve natural, efficient gait patterns across various terrains. The robot's force-sensing capabilities in each leg allow real-time terrain adaptation and impedance control, resulting in smooth motion even on irregular surfaces. The integration of multiple sensor modalities including LiDAR, depth cameras, and IMU provides robust environmental perception and state estimation.

The modular architecture of Jueying's software and hardware systems allows for rapid customization and deployment across different application scenarios. The robot's onboard computing platform processes sensor data locally for low-latency autonomous decision-making while maintaining cloud connectivity for remote monitoring and teleoperation when needed.