Thinking about a robot assistant moving around an airport. Help passengers check in, find their boarding gate, and get flight details. This robot must move freely in the airport, and cannot hit people walking or running in all directions, or objects that may be stationary or may sometimes move. This robot assistant should know how to navigate intelligently in a constantly changing environment. Moreover, it must be able to understand and respond to voice commands in natural language within a certain range of possibilities. We will discuss this issue below.
Tof module starting point for smart navigation technology. tof module information is input into a complex algorithm called SLAM, which generates a cloud image of a constantly moving and changing space, and then changes and updates accordingly. Under low light conditions, SLAM technology is increasingly being strengthened by dead reckoning.This method tracks movement from a known position and obtains information from wheel movement, accelerometers and other sensors. At the same time, the tof module provides input to avoid hitting an object or a person. We already have multiple sensors that provide information to the algorithm to build a map and locate the robot assistant's position on the map.