Unmanned Vehicle Braking Feedback for Accurate Stop Positioning
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Solution Overview
Problem
In environments where the actual stop position of a moving object deviates from the expected stop position, operations on the object cannot be appropriately performed due to inaccurate stopping.
Innovation Solution
An apparatus that acquires environmental information using sensors to generate value data for controlling braking and work operations, including braking control values and work device settings, to enhance the likelihood of accurate stopping and operation execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If unmanned driving is used to convey moving objects in a work place, then productivity is improved, but stopping precision deteriorates due to position deviation
Solution Approach 1:
The system captures images of the moving object during unmanned conveyance, detects its actual position, and feeds back this information to calculate corrected work values. This closed-loop feedback mechanism compensates for position deviation, allowing the work device to accurately perform operations despite the moving object stopping at an unexpected position.
Solution Approach 2:
The system dynamically adjusts work parameters (such as robot arm position, tool orientation, or operation timing) based on the detected actual position of the moving object. By changing these parameters in response to measured position deviations, the system maintains operation accuracy even when stop position accuracy deteriorates.
2Manufacturing precision
If the moving object stops at a predetermined position for work operations, then work accuracy is improved, but adaptability deteriorates when actual stop position deviates from expected position
Solution Approach 1:
The system continuously monitors the actual position of the moving object during conveyance and uses this feedback information to adaptively adjust work parameters. This allows the system to maintain work accuracy across varying stop positions, effectively bridging the gap between predetermined work positions and actual unpredictable stop locations.
Solution Approach 2:
The system transitions from a static, predetermined work position approach to a dynamic adaptation approach. Work parameters are no longer fixed but are continuously adjusted based on real-time position detection, enabling the system to adapt to varying stop positions while maintaining operation accuracy.
Data Source
AI summary
The apparatus comprises an acquiring unit configured to acquire environmental information regarding at least one of environment around a current location of a moving object, and environment ahead of the moving object in a travel direction, the moving object being capable of moving by unmanned driving; and a generating unit configured to generate value data using the acquired environmental information, the value data including at least one of a braking control value, a braking correction value, a work control value, a work setting value, and a work correction value.