Laser-Guided Robot Path Control for High-Speed Navigation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional robot navigation systems require significant computing power for path generation and obstacle avoidance, limiting the robot's travel speed due to the need for continuous sensor data processing and recalculating routes in real-time.
Innovation Solution
A main server generates and transmits a pre-calculated movement path to a robot using laser irradiation, allowing the robot to move at high speed without sensing external obstacles or recalculating its route, by identifying the robot's location through camera images and controlling laser output modules to mark the path on the ground.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the robot uses built-in sensors and computing power to generate paths and avoid obstacles in real-time, then the robot can navigate autonomously, but the computational burden limits the robot's travel speed
Solution Approach 1:
The patent extracts the complex path generation and obstacle avoidance computation from the robot itself and relocates it to an external server. The robot only needs to execute pre-calculated paths, while the server handles the computationally intensive tasks of map generation, path planning, and real-time obstacle detection, thereby resolving the contradiction between autonomous navigation capability and travel speed.
Solution Approach 2:
The system performs preliminary path generation and environment mapping before the robot begins movement. The server creates a map of the space and calculates the optimal path in advance, allowing the robot to simply follow the pre-determined trajectory without real-time computation, thus enabling high-speed movement while maintaining navigation reliability.
2Adaptability or versatility
If the robot continuously senses obstacles and recalculates routes in real-time, then the robot can adapt to changing environments, but the frequent calculations reduce movement efficiency
Solution Approach 1:
The system implements feedback through the external server that continuously monitors the robot's position via camera images and the environment via laser sensors. The server receives real-time data about the robot's location and environmental changes, then updates the path accordingly without requiring the robot to perform complex calculations, thus maintaining adaptability while preserving movement efficiency.
Solution Approach 2:
The external server acts as an intermediary between the robot and the environment. Instead of the robot directly sensing and responding to environmental changes, the server mediates this interaction by processing sensor data, detecting obstacles, and generating updated paths, thereby enabling environmental adaptation without compromising movement efficiency.
3Device complexity
If the laser beam only marks a target point rather than a path, then the system is simpler, but the robot still needs to generate and follow a path requiring significant computation
Solution Approach 1:
The system performs the path generation action in advance before the robot begins movement. The server calculates the complete path from start to destination and marks it with laser before the robot starts traveling, eliminating the need for real-time path calculation during movement and resolving the contradiction between system simplicity and path calculation time.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces the computational burden on the robot, enabling high-speed movement by relying on pre-planned paths marked with lasers, thus overcoming the limitations of existing systems in terms of speed and efficiency.
Implementation Method 1
a laser irradiation module capable of outputting the movement path to a vicinity of the robot with a laser
Implementation Method 2
a location identifying unit configured to identify a location of a robot in an image photographed by a camera module
Data Source
AI summary
A main server for controlling laser irradiation of a movement path of a robot, the main server including a communication unit configured to communicate with a camera module and a laser irradiation module; and a controller configured to: receive, via the communication unit, an image of a robot captured by the camera module, identify a location of the robot in the image captured by the camera module, generate a movement path of the robot based on sensing information, and transmit, via the communication unit, movement path information to the laser irradiation module for outputting the movement path to a vicinity of the robot with a laser for the robot to follow, in which the sensing information includes first information about an obstacle sensed by the camera module or second information about the obstacle sensed by the laser irradiation module.