Autonomous Robot Target Tracking With Adaptive Recognition Control
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Solution Overview
Problem
Autonomous mobile robots face challenges in capturing and following targets when obstacles intervene, such as when the target turns a corner, leading to loss of tracking due to incorrect trajectory prediction and recognition accuracy issues based on distance.
Innovation Solution
An information processing device and method that includes a drive unit, recognition unit, and control unit, which adjusts recognition algorithms based on distance to the target and recognition accuracy, allowing the robot to control its movement to maintain target capture by switching between normal and short-distance recognition algorithms and predicting trajectories to avoid obstacles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the autonomous mobile robot uses a fixed recognition algorithm, then the device complexity is reduced, but the recognition accuracy deteriorates when distance to the target changes
Solution Approach 1:
The recognition algorithm is made dynamic by automatically switching between different algorithms based on the detected distance to the target. The system transitions from a static fixed algorithm to a dynamic adaptive algorithm that changes parameters according to operational conditions, resolving the contradiction between simplicity and accuracy.
Solution Approach 2:
The system changes recognition parameters (algorithm selection) based on the distance parameter to the target. When the target is far, one algorithm is used; when close, another algorithm is applied. This parameter-based adaptation maintains accuracy across varying distances without significantly increasing system complexity.
2Device complexity
If the robot maintains a fixed distance from the target, then the control system is simplified, but the target cannot be captured when obstacles intervene
Solution Approach 1:
The robot's distance to the target is made dynamic rather than fixed. The control system automatically adjusts the following distance based on obstacle detection and recognition accuracy requirements, enabling the robot to navigate corners and avoid obstacles while maintaining reliable target capture.
Solution Approach 2:
The system implements feedback control by continuously monitoring target recognition accuracy and obstacle presence, then adjusting the following distance accordingly. This feedback mechanism ensures reliable target following in dynamic environments without requiring complex manual control.
3Measurement precision
If the robot approaches the target closer, then the recognition accuracy improves, but the risk of collision with obstacles increases
Solution Approach 1:
The system dynamically changes the distance parameter based on real-time conditions. When the target is obscured or recognition accuracy drops, the robot approaches closer to improve recognition. When obstacles are detected or recognition is sufficient, the robot maintains a safer distance, balancing accuracy improvement with collision risk reduction.
Data Source
AI summary
The present technology relates to an information processing device, an information processing method, and a program enabling follow-up by autonomous movement while appropriately capturing a follow-up target.It is driven for following a follow-up target, it recognizes the follow-up target, and a recognition algorithm for recognizing the follow-up target is changed on the basis of a distance to the follow-up target or recognition accuracy of the follow-up target based on the distance to the follow-up target, and the drive is controlled on the basis of a position of the recognized follow-up target.