Robot Remote Navigation Using Map and Ambient Image Display
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Solution Overview
Problem
Existing remote control systems for robots rely solely on camera images for navigation, leading to inaccurate location identification and increased resource consumption due to erroneous navigation instructions, causing user inconvenience.
Innovation Solution
A remote control method and system that outputs both a map image and an ambient image to a display, using the map image to provide location information corresponding to the ambient image from the robot, allowing for more accurate control by considering the robot's surroundings, and enabling intuitive control through a unified interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only camera images are used for robot navigation, then the system complexity is reduced, but location identification accuracy deteriorates
Solution Approach 1:
The display interface is segmented into multiple regions: a first display region showing the map image with location information, and a second display region showing the real-time camera image. This segmentation allows the system to provide both accurate location identification (through map) and real-time visual feedback (through camera) without requiring a single complex system, thus resolving the contradiction between system complexity and location identification accuracy.
2Use of energy by moving object
If only camera images are used for navigation, then the information processing load is reduced, but navigation accuracy deteriorates due to erroneous instructions
Solution Approach 1:
The system performs preliminary action by displaying the map image with pre-identified location information before the user makes navigation decisions. This allows the user to see both the robot's current location (from map) and real-time camera feed, enabling more accurate navigation commands to be issued beforehand, thereby reducing erroneous instructions and improving navigation reliability while maintaining reasonable resource consumption.
3Measurement precision
If map image with location information is added to the display, then location identification accuracy is improved, but device complexity increases
Solution Approach 1:
The display is divided into distinct functional regions: the first display region dedicated to showing the map image with location information, and the second display region for real-time camera images. This segmentation allows the system to integrate multiple information sources (map and camera) without creating a single complex processing pipeline, thus improving location identification accuracy while keeping the display system architecture relatively simple and modular.
Data Source
AI summary
A robot remote control method and system capable of remotely controlling navigation of a robot. The robot remote control method includes outputting both a map image and an ambient image to a display, the map image including location information corresponding to the ambient image, the ambient image being of surroundings of a robot, and the ambient image being received from a camera at the robot, generating a control command for controlling the robot in response to an input to the display during the outputting, and causing the robot to drive according to the control command by transmitting the control command to the robot.