Hazard Detection & Rescue Quadruped Robot Released

DEEP Robotics’ Jueying X20 has the ability to go deep into post-disaster outdoor and indoor high-risk areas where it can traverse over ruins, piles of rubble, stairwells, and other unstructured pathways By Caroline Rees / 27 Jul 2022
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DEEP Robotics has announced the official release of the Jueying X20 hazard detection and rescue quadruped robot designed for the complex terrain of a post-earthquake landscape, the insides of vulnerable debris buildings, and tunnel traffic accidents.

With the flexibility to deliver unmanned detection and rescue services, Jueying X20 can also operate in toxic, hypoxia, and high-density smoke environments created by chemical pollution or disaster event.

Jueying X20 has the ability to go deep into post-disaster outdoor and indoor high-risk areas where it can traverse over ruins, piles of rubble, stairwells, and other unstructured pathways. It can also step over 20cm high obstacles and stairs, and climb on 35-degree slope. 

With the ability to move freely in all directions and maneuver within a small contact area, the robot dog can reduce the occurrence of secondary accidents. The IP66 industrial-grade protection ensures that the four-legged robot can complete detection tasks in extreme weather conditions including heavy downpours, sand and dust storms, frigid temperatures and hail. 

A maximum payload of 85kg gives the robot dog the ability to carry oxygen bottles and other rescue supplies to disaster sites, facilitating provision of assistance to stranded victims and rescuers. 

By integrating a wide range of application modules including a long-distance communication system, a bi-spectrum PTZ camera, gas sensing equipment, an omnidirectional camera, and a pickup, the robotic solution includes long-distance control and images transmission, heat source tracking, real-time detection of harmful gases and rescue calls, among other functions. 

Jueying X20 is available with an optional rotating laser scanner, which can obtain high-precision point cloud data from indoor and outdoor disaster and accident sites, providing robust information for post-disaster data analysis.

Posted by Caroline Rees Caroline co-founded Unmanned Systems Technology and has been at the forefront of the business ever since. With a Masters Degree in marketing Caroline has her finger on the pulse of all things unmanned and is committed to showcasing the very latest in unmanned technical innovation. Connect & Contact