Dual-Camera Robot Articulation for Faster Visual Servoing
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Solution Overview
Problem
Conventional visual servoing systems for robot apparatuses lack improved speed and accuracy, and are not economically viable.
Innovation Solution
A system and method utilizing two cameras coupled to a robot arm to minimize pixel-wise distance between a member and a target by alternating input from each camera, allowing the robot to articulate the member in multiple directions, with image processing for precise alignment, enabling robust convergence without camera calibration or point triangulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional visual servoing systems are used, then the system is economically viable, but the speed and accuracy of servoing are insufficient
Solution Approach 1:
The visual servoing system is segmented into two independent camera channels, each responsible for measuring distance in a specific direction. This segmentation allows parallel processing of visual information from different perspectives, improving both measurement precision and processing speed without requiring complex calibration procedures.
Solution Approach 2:
The system transitions from single-dimension visual feedback to multi-dimensional measurement by using two cameras oriented in different directions. Each camera provides distance measurements along its optical axis, creating a multi-dimensional measurement space that improves accuracy while maintaining computational efficiency through alternating input processing.
2Measurement precision
If multiple cameras are used to improve measurement accuracy, then servoing precision improves, but system complexity increases
Solution Approach 1:
The control device alternates between receiving input from the first camera and the second camera in periodic cycles. This periodic action allows the system to process visual information from multiple cameras sequentially rather than simultaneously, reducing computational complexity while maintaining the measurement accuracy benefits of multi-camera input.
Solution Approach 2:
The control device acts as an intermediary that selectively processes input from either the first or second camera at any given time. This intermediary approach simplifies the control architecture by avoiding the need to process all camera inputs simultaneously, reducing system complexity while preserving measurement precision through alternating measurements.
3Speed
If conventional single-camera visual servoing is used, then the system is simpler, but speed and accuracy of position control are limited
Solution Approach 1:
The system implements enhanced feedback by alternating between two camera inputs, each providing distance measurements in different directions. This multi-directional feedback mechanism improves motion control stability and reliability while enabling faster convergence to target positions, as the robot receives corrective information from multiple perspectives rather than a single viewpoint.
Data Source
Figure 1
AI summary
A system (100) including a robot (102) mean to move a member (104) by using a first camera (106) coupled to the robot (102), a second camera (108) coupled to the robot (102), a control device (110) configured to control position of the robot (102) in order to minimize a pixel-wise distance between the member (104) and a target (112) based on alternating input from the first camera (106) and the second camera (108).