Indoor Navigation Robot With Dynamic Obstacle Avoidance for Blind Users
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Solution Overview
Problem
Existing indoor navigation robots for blind persons have low accuracy in analyzing and detecting indoor conditions, making them unsuitable for providing effective emergency avoidance prompts in emergency situations.
Innovation Solution
An indoor navigation robot equipped with a data acquisition module, a central processing module, and an intelligent terminal, which acquires and processes position, speed, and acceleration data to plan and adjust the walking route of the blind person, ensuring safe distances from obstacles and pedestrians, and providing timely emergency avoidance instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traditional identification modules are used in the navigation robot, then the device complexity is reduced, but the measurement precision of indoor conditions deteriorates
Solution Approach 1:
The patent combines multiple sensing capabilities (camera module for 3D environmental mapping, acceleration sensor for motion detection, voice module for communication) into an integrated navigation system. This merging of multiple identification and detection modules enables high-precision indoor condition analysis while maintaining manageable system complexity through unified control architecture.
Solution Approach 2:
The navigation robot is designed with multi-functional modules that serve multiple purposes: the camera module captures both environmental maps and obstacle positions, the acceleration sensor monitors both robot motion and pedestrian movements, and the wireless communication module enables both data transmission and voice communication. This universality improves measurement precision without proportionally increasing device complexity.
2Ease of operation
If the navigation robot uses simple obstacle detection, then the ease of operation is improved, but the reliability of emergency avoidance deteriorates
Solution Approach 1:
The system performs preliminary actions by continuously constructing 3D environmental maps and pre-identifying obstacle positions before collisions occur. The acceleration sensor detects pedestrian movements in advance, allowing the robot to calculate potential collision risks proactively. This preliminary detection and risk calculation enables reliable emergency avoidance while maintaining simple operation through automated safety protocols.
Solution Approach 2:
The navigation robot implements feedback mechanisms where the acceleration sensor continuously monitors pedestrian motion and provides real-time data to the control unit. The system calculates collision risks based on this feedback and automatically adjusts navigation routes or alerts users. This closed-loop feedback ensures reliable emergency avoidance without requiring complex manual intervention.
Data Source
AI summary
An indoor navigation robot for a blind person includes a data acquisition module, a central processing module, and an intelligent terminal. The indoor navigation robot acquires and processes position data, speed data and acceleration data of a fixed obstacle, a moving obstacle, and a pedestrian. The indoor navigation robot fully considers the mobility of people indoors and the accidental mobility of obstacles indoors. Based on this, the indoor navigation robot detects the position of the fixed obstacle, plans the initial walking route of the blind person, detects the position data, the speed data, and the acceleration data of people and moving obstacles in various directions indoors, and plans the walking route of the blind person for many times. The indoor navigation robot improves the accuracy of analysis and detection of indoor conditions, and can prompt the blind person to make emergency avoidance in a timely manner.