The first emergency rescue and shipping robot was launched in Beijing on March 26, developed by CSSC Haiden and Deep Robotics.
Robots are designed to operate in extreme temperatures from -20 degrees C to 55 degrees Celsius, suitable for disaster and rescue response activities. They have three moving modes: 4 legs, wheels and chains. They can walk, run, climb stairs and climb slope, lying, avoid obstacles and move through complex terrain.
The first emergency rescue and shipping robot was developed by CSSC Haishen and Deep Robotics. Image: Science and Technology Daily
Last week, Deep Robotics introduced a new one -touch navigation feature for his dog robot, increasing user friendliness. The specifications of the rescue robot have not been announced, but it seems that the Deep Robotics uses a new one -touch navigation feature for them.
Robot’s navigation system provides two specialized modes for different environments. The first is the point selection and navigation mode based on the map, ideal for spacious terrain, need to have a wider awareness. The second is video -based navigation mode, designed for narrow or messy space with greater accuracy.
The operator can choose a position in the video or enter on the tablet screen to lead the dog robot to the specified location. The robot automatically programs the road, avoiding obstacles in a smart way to increase the movement efficiency. This innovation is expected to improve the overall performance and performance of robots, especially in high risk situations.
Deep Robotics emphasizes the value of new robots in situations such as exploring fire and emergency rescue activities, where speed, accuracy and the ability to make automatic decisions are extremely important. 4 -leg robot is famous for its stability and flexibility in the terrain is uneven, proving excellent in the task of searching and rescuing after the disaster. They can move through the rubble, narrow space and access to areas where the machinery runs by wheels cannot access. This makes them an essential tool in a complex environment.
According to Deep Robotics, this progress not only enhances the flexibility and space awareness of the robot, but also allows them to navigate without prior mapping and better adaptation to fluctuating environments or without stable structure.