Anti-collision detection method for sweeping robots
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Solution Overview
Problem
Current sweeping robots face limitations due to insufficient sensing precision and single structural design in their anti-collision detection methods, restricting their further popularization and effectiveness.
Innovation Solution
The implementation of a Micro-Electro-Mechanical System (MEMS) device equipped with an accelerometer, gyroscope, and other sensors, which utilizes different correction modes and multi-sensor fusion calculations to detect and adjust for collisions in various scenarios, including straight motion, rotation, and bumpy road conditions, ensuring stable operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a collision sensor is used to detect external obstacles, then the sweeping robot can perform feedback control, but the sensing precision is insufficient
Solution Approach 1:
The patent combines multiple sensors (accelerometer, gyroscope, ultrasonic sensor, infrared sensor) into an integrated sensing system. The accelerometer detects collision forces along X, Y, Z axes, the gyroscope measures angular velocity for rotation detection, and the ultrasonic/infrared sensors provide preliminary obstacle detection. This multi-sensor fusion approach resolves the contradiction by achieving both high precision through multiple measurement dimensions and high reliability through cross-validation of sensor data.
Solution Approach 2:
The patent introduces an intermediary processing system that collects data from multiple sensors and applies fusion algorithms to determine actual collision states. This intermediary layer processes raw sensor signals, filters false positives, and generates reliable collision detection results by comparing data from different sensor types, thereby resolving the precision-reliability contradiction.
2Adaptability or versatility
If a single collision sensor is used, then the structure is simple, but the structural design is single and insufficient
Solution Approach 1:
The patent implements a multi-functional sensor system where the accelerometer serves multiple purposes: detecting linear collisions, determining robot orientation, and measuring vibration patterns. The gyroscope similarly provides both rotation detection and orientation information. The ultrasonic and infrared sensors work together for both preliminary obstacle detection and collision verification. This multi-functionality achieves high adaptability without proportionally increasing complexity.
Solution Approach 2:
The patent segments the detection system into specialized sensor modules, each optimized for specific detection tasks. The accelerometer handles force detection along three axes, the gyroscope handles rotational motion, and the ultrasonic/infrared sensors handle distance measurement. This segmentation allows each component to remain relatively simple while the integrated system achieves high versatility across different detection scenarios.
3Measurement precision
If traditional collision sensors are used, then the device is simple, but the detection accuracy is low
Solution Approach 1:
The patent merges data from multiple sensor types to achieve high detection accuracy. The accelerometer provides precise force measurement with multiple axis detection, the gyroscope adds rotational context, and the ultrasonic/infrared sensors provide spatial information. By fusing these complementary data sources, the system achieves superior accuracy that would be impossible with a single sensor type, while the modular architecture keeps complexity manageable.
Solution Approach 2:
The patent changes the parameters measured by the sensing system from single-dimensional collision detection to multi-dimensional measurement including force magnitude, direction, rotation angle, and spatial position. The accelerometer measures acceleration along X, Y, Z axes providing three-dimensional force information. This parameter expansion dramatically improves detection accuracy while the systematic approach to data fusion prevents exponential complexity increase.
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 enhances detection accuracy and stability, allowing sweeping robots to navigate obstacles effectively and maintain normal operation in diverse environments.
Implementation Method 1
utilizing a Newton second law V=a×t, the V represents velocity, the a represents acceleration, and the t represents time; when the sweeping robot starts walking, an acceleration of the sweeping robot is a positive acceleration; when the sweeping robot collides with an object, the acceleration of the sweeping robot is a negative acceleration
Implementation Method 2
detecting an angular velocity W by the gyroscope; calculating an angular velocity W1 of a grating by utilizing a grating milemeter of a left wheel and a right wheel
Data Source
AI summary
An anti-collision detection method for sweeping robots, which includes following steps. Step 1: preparing a sweeping robot provided with a Micro-Electro-Mechanical System (MEMS) device comprising an accelerometer and a gyroscope; skipping to step 2 when the sweeping robot is in a linear motion state and collides with an object; skipping to step 3 when the sweeping robot is on an external bumpy road; and skipping to step 4 when the sweeping robot is in a rotating motion state and blocked by an obstacle.
