Jueying Mini
AI Chatby Deep Robotics
ChinaReleased: 2020
Last updated:
Jueying Mini, listed simply as Mini on the Deep Robotics English site, is a mid-sized robot dog from the Hangzhou maker of the X20, X30 and Lite3. It is built as a smart, perception-heavy platform: laser sensing and cameras let it map its surroundings, navigate on its own, avoid obstacles and follow a person, while onboard deep-learning software recognizes objects and understands spoken commands. It handles indoor and outdoor ground, slopes and stairs and can carry a useful load, which makes it a capable base for research, education and visual perception projects.
What Can Jueying Mini Do?
Core operational tasks and activities demonstrated or performed by Jueying Mini.
Real-World Applications of Jueying Mini
Industries, working environments, and deployment suitability for Jueying Mini.
Jueying Mini Capabilities
Inherent physical, perceptual, and cognitive abilities built into Jueying Mini.
Image Gallery
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Review Videos
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Full Specifications
Other Notable Features
Deep-learning object recognition and natural language processing; 2.5D mapping; auto-navigation and obstacle avoidance; human following; reinforcement-learning motion control
Jueying Mini vs AgiBot D1 Ultra, MagicDog-W and Unitree A1
Jueying Mini overlaps with these alternatives on Education and training and Research and development. Jueying Mini leads this group on max payload but trails on max speed and weight.
Industries and capabilities are tags, not scores: a tick means the robot is listed for it. Green marks the best figure in a row (highest max speed and max payload; lowest weight). Ranges are not ranked.
| Spec | Jueying MiniDeep Robotics | AgiBot D1 UltraAgiBot | MagicDog-WMagicLab | Unitree A1Unitree Robotics |
|---|---|---|---|---|
| Industries | ||||
| Education and training | Yes | No | Yes | Yes |
| Research and development | Yes | Yes | Yes | Yes |
| Capabilities | ||||
| Object recognition | Yes | No | No | Yes |
| Speech interaction | Yes | No | Yes | No |
| Navigation | Yes | Yes | Yes | Yes |
| Obstacle avoidance | Yes | Yes | Yes | Yes |
| Max Speed | 3.3 m/s | 3.7 m/s | 3 m/s | 3.3 m/s |
| Max Payload | 10 kg | 8 kg | 10 kg | 5 kg |
| Runtime | 40 min | 60–120 min | 2–4 h | 1–2.5 h |
| Weight | 23 kg | 15 kg | 22.5 kg | 12 kg |
| Size Class | medium | medium | medium | medium |
Notes such as conditions or alternate figures are left out and values are shown in common units; open each page for the full specs. Browse all robot dogs
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X20
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The Deep Robotics X20 is an industrial-grade quadruped robot dog designed for autonomous patrol inspection in extreme conditions, such as underground cable tunnels, toxic environments, and disaster zones. It features strong environmental adaptability with IP66 dust and water resistance, enabling operation in heavy rain, sand, dust storms, low temperatures, and hail. Key capabilities include navigating complex terrains like 30° slopes, 20cm obstacles, stairs, grass, sand, snow, gravel, and standing water; maximum speed of 4 m/s; payload capacity up to 20kg (with some sources noting 85kg for rescue variants); 2-4 hours endurance and 15km mileage; precise perception for navigation, dynamic obstacle avoidance, terrain recognition, and human-robot interaction. Targeted markets include electric power inspection for intelligent data acquisition and danger warning, post-disaster rescue for scouting, gas sensing, and material transport, as well as industrial applications requiring unmanned operations in hazardous areas to enhance safety and efficiency.
Lynx
By: Deep Robotics
Launched: 2024 (Global rollout 2025)
The Lynx is a compact wheel-leg hybrid quadruped robot designed for exceptional terrain adaptability and embodied AI capabilities, targeting industrial, research, defense, and field operations. It features ultra-wide joint movement ranges, enabling seamless switching between configurations like front-elbow rear-knee for tight spaces and full-elbow for stair climbing, navigating corridors as narrow as 50 cm. Key capabilities include omnidirectional obstacle avoidance, 360° point-cloud mapping via dual 96-line LiDARs, high-speed mobility up to 5 m/s (lab-tested, 2 m/s operational), slope handling up to 45°, continuous stair climbing to 25 cm, and single-step overcoming up to 80 cm. With IP66 protection, operation from -20°C to 55°C, hot-swappable batteries for 3 hours unloaded endurance (15 km range) or 2.5 hours loaded (12 km), and modular expansion ports, it supports payloads up to 15 kg (max load 50 kg). Powered by dual octa-core processors, wide-angle cameras, and OTA updates, Lynx excels in challenging environments like tunnels, pipelines, and off-road terrains, replacing humans in high-risk tasks while ensuring efficiency, safety, and scalability.
LYNX M20
By: Deep Robotics
Launched: 2025
The LYNX M20 by Deep Robotics is a high-performance wheeled-legged quadruped robot designed for extreme industrial and field operations. It combines the speed and efficiency of wheels on flat terrain with the agility of legs for navigating complex obstacles, featuring hyper-flexible joints and seamless mode switching. Key capabilities include a 15 kg payload capacity (up to 50 kg max load), speeds up to 5 m/s (lab-tested, 2 m/s operational), 45° slope climbing, 25 cm continuous stair height, and 80 cm single-step obstacle clearance. Equipped with dual 96-line LiDAR for 360° omnidirectional obstacle avoidance and point-cloud mapping, dual wide-angle cameras, and dual octa-core processors (16 GB RAM + 128 GB storage), it supports advanced autonomy, RF image transmission, and OTA updates. With IP66 protection and -20°C to 55°C operation, it targets inspection, security, energy, defense, and construction markets in rugged environments.
Lite 3
By: Deep Robotics
Launched: 2023
The Lite 3 by Deep Robotics is an advanced bionic quadruped robot dog designed for research, development, and industrial applications. It features enhanced driving force, precise algorithms for locomotion, and superior environmental interaction capabilities. Available in variants including Basic, Venture, Pro, and LiDAR, it supports tasks like obstacle avoidance, visual following, and autonomous navigation in the LiDAR model. With a lightweight design around 12-13.5 kg, it excels in traversing slopes up to 40 degrees, climbing 18 cm stairs, and carrying payloads up to 5 kg continuously. Targeted at researchers, educators, and industries such as inspection, security, and robotics development, it offers expandable interfaces, ROS2 support, and open SDKs for custom locomotion training via deep learning and reinforcement learning. Its robust performance in diverse terrains makes it ideal for prototyping advanced robotic behaviors.
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