Autonomous robot
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Solution Overview
Problem
Existing robots face inefficiencies in maintaining a preset distance from obstacles during edgewise movement due to non-linear signal strength relationships, leading to excessive posture adjustments and reduced efficiency in edgewise movement, particularly when peripheral contours are rectangular.
Innovation Solution
The autonomous robot employs a controller to adjust its posture by receiving collision detection signals from multiple sensors, allowing for precise control of the edge sensor's distance to obstacles through controlled backward and rotational movements, ensuring the distance remains within a preset range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the robot moves backwards a large distance to ensure the peripheral contour does not collide with the wall during rotation, then collision avoidance is improved, but the distance between the edge sensor and the obstacle becomes too large, failing to meet the expected edge distance requirement
Solution Approach 1:
The robot performs preliminary actions in a specific sequence: first moves backwards a small distance, then rotates by a small angle, and finally moves forwards. This preliminary action approach allows the robot to adjust its posture gradually, ensuring the edge sensor maintains the expected distance from the obstacle while avoiding collisions during the adjustment process
Solution Approach 2:
The robot employs dynamic posture adjustment by alternating between small backward movements and small-angle rotations. This dynamic approach allows the robot to adapt its position iteratively, maintaining the edge sensor at the expected distance from the obstacle while ensuring the peripheral contour does not collide with the wall during adjustment
2Measurement precision
If the robot performs frequent posture adjustments to maintain the expected edge distance, then edge detection accuracy is improved, but the efficiency of edgewise movement is reduced
Solution Approach 1:
The robot uses feedback from the edge sensor to detect whether the obstacle is within the expected distance. Based on this feedback, the controller determines whether posture adjustment is needed. This feedback mechanism allows the robot to maintain edge detection accuracy while reducing unnecessary adjustments, thereby improving edgewise movement efficiency
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 the robot's ability to reliably and efficiently perform edgewise movement by avoiding over-adjustment and ensuring consistent edge detection, improving coverage and reducing collisions.
Implementation Method 1
an infrared sensor mounted on the robot body and configured to transmit and receive infrared signals
Data Source
AI summary
An autonomous robot includes a robot body, a movement component, a collision sensor, an edge sensor, and a controller. The robot body includes a front collision body case, and a peripheral contour of the front collision body case is rectangular. The collision sensor is configured to generate a collision detection signal. The edge sensor is configured to transmit and receive the edge detection signal. The controller is configured to control the robot body to perform an edgewise adjustment mode. In the edgewise adjustment mode, the controller gradually adjusts a forward direction of the movement component towards the same target deflection direction according to the collision detection signal, in order to gradually reduce a relative distance between the edge sensor and an obstacle until the relative distance is within a preset edge detection distance range. Thus, a problem of low efficiency in edgewise movement is improved.