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Robots Of London Rex dog

Rex Robot dog is an extremely agile and dexterous quadruped robot, its advanced dynamic balancing algorithm enables A1 to quickly reach balance in different situations like impact or falls.

Rex Robot dog is a quadruped robot capable of analyzing its environment, monitoring and overcoming obstacles, thanks to its intelligent sensorization.

Its wide mobility allows it to carry out many tasks: from parcel and material delivery tasks, through environmental inspection and security applications (recognition in dangerous areas) or within the framework of entertainment activities. On the other hand, it is the ideal robot for the R&D sector, where the applications are endless.

What is Robots of London Rex Dog?

Multi Eye Intelligent Depth Camera

Higher Running Speed

Maximum continuous outdoor running speed at 3.3m/s (11.88km/h).
The fastest and most stable small and medium sized quadruped robot on the market. (World Record: 3.7m/s on a treadmill by MIT)
With the potential to be a great jogging companion.

Patented Body Structure and Layout

  • High strength and light body structure. Easy to maintain. 24V external power input. 5V, 12V, 19V power supply. Convenient for additional external equipments.
  • Equipped with high-performance dual master control (sensing master control and motion master control).
  • External interface: 4USB, 2HDMI, 2*Ethernet
  • Master control can be upgraded to TX2.
  • Standard equipment include RealSense depth cameras.
  • Capable of map building and obstacle avoidance.

Patented Sensitive foot contact

  • Integrated force sensor at each foot end. Convenient for robot to obtain realtime contact states of feet under any situations. 
  • More accurate and sensitive than those systems that estimate feet contacts using motor currents. 
  • Integrate foot contact sensor with estimated motor current foot sensor, providing more  sensitivity and reliability
  • Foot end is waterproof and dust-proof, and easy to replace after wear and tear.

Vision-based Autonomous Object Tracking

  • Realtime tracking of objects within visual range.
  • Support online machine learning of the target features.
  • Displaying the confidence of tracking using color box (green → red, 100% → 0%) 

Vision-based Autonomous Obstacle Avoidance

  • Avoid obstacle within 0.8m of the robot’s visual range
  • Capable of detecting the obstacle shapes to adjust the body position
  • Realtime display of the adjustment of robot body, maximum distance and area within the visual angle, and the range of walking track.