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Untree B2 for Public Safety

Unitree robot dog B2 is the fastest running industrial-grade quadruped , with a speed of 6m/s, a sustained load of 40kg, a sustained walking range of 5h, and a comprehensive performance that is 2 to 3 times that of other quadruped! All-terrain adaptation, large load, long-lasting endurance, super sports performance! Welcome to enquire and learn about the robot dog uses and advantages.

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Unitree B2
Product Detail


Product Configuration & Description Table
PackageDescription
Upper-Mounted Perception & Recognition KitOverall Capabilities:Autonomous navigation, unmanned patrol, beyond-visual-line-of-sight (BVLOS) teleoperation, large-model voice interaction (optional), environmental perception, autonomous obstacle avoidance, and all-terrain mobility.
Hardware Configuration:Includes assembly, commissioning, and industrial design drawings. Supplied hardware list includes communication module (4G / 5G / Wi-Fi, one selected; data plan not included), LiDAR, parallel driving control board, surround-view cameras, searchlight, warning strobe lights, etc.
Detailed Functions:3D LiDAR + legged odometry fusion positioning; autonomous obstacle and pedestrian avoidance; automatic charging; remote web-based control; remote teleoperation within 5G/Wi-Fi coverage supporting BVLOS control; intelligent voice interaction based on large language models (internet required) with multi-step dynamic task-chain parsing and automatic task generation; remote voice broadcasting; adaptive all-terrain gait control; red and blue warning lights with one-button on/off control; one-button emergency alarm function.
Embodied Intelligence SystemAutonomous Navigation:Includes mapping and localization, navigation and obstacle avoidance, path planning, and task scheduling. Performs well under constrained conditions; however, in mixed environments with vehicles and pedestrians or heavy crowd interference, there is a risk of navigation failure. Night-time autonomous patrols are recommended to avoid dense pedestrian traffic.
Autonomous navigation deployment requires on-site configuration by our technical personnel. After deployment, the robot operates along predefined routes and does not support plug-and-play operation in unfamiliar environments.
Due to the robot’s relatively high movement speed, speed limits are typically applied during autonomous navigation to reduce collision risks.
BVLOS Teleoperation:Supports remote beyond-visual-line-of-sight control under stable network conditions.
Secondary Development Interfaces:Open data and status interfaces are provided for system integration. Backend UI development, if required, will be quoted separately.
On-Site Implementation & Deployment (Optional)Optional service priced atUSD 6,000, including one-time on-site commissioning for autonomous navigation in a limited scenario, for up to5 working days. If on-site support is required beyond 5 days or after commissioning tasks are completed, additional charges apply atUSD 400 per person per day. Travel expenses are charged separately.
Backend Function Customization (Optional)Custom functional development is charged separately. Development of upper-layer business systems will be quoted independently based on scope and requirements.
Additional Upper-Mounted Hardware (Optional)Dual-spectrum gimbal combined with a 32-channel navigation LiDAR.
Large-Model Voice Interaction Capability (Optional)Optional feature requiring internet access (on-site Wi-Fi or public 4G/5G network). Final pricing is subject to the manufacturer’s quotation. Supports complex voice-driven task composition, information queries, and temporary task dispatch. Specific requirements require further discussion.
Industrial Scenario On-Site Special Adaptation Fee (Optional)Additional customization services for first-time deployment in industrial scenarios to ensure fault-free on-site software operation. Includes debugging of client-specified routes, waypoints, actions, and functions; on-site environment adaptation; and system integration. On-site technical service fees apply, with pricing determined by the complexity of the actual scenario.



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