Autonomous Mobile Robot Visibility Control
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Solution Overview
Problem
Existing autonomous aerial robots lack practical control over their movement, making it difficult for humans to monitor them continuously or keep them out of sight, as they either constantly enter human view or become invisible, leading to unmanageable movement limitations.
Innovation Solution
A movement control method that acquires information about people around the robot, calculates a visible range, determines a movable range based on this information, and controls the robot to move within or outside this range, allowing it to be visible or invisible to humans as needed, using a system that includes image capturing, position measurement, and optimization algorithms to generate movement paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the autonomous aerial robot moves freely without visibility constraints, then the robot's mobility and freedom of movement are improved, but the ability of humans to monitor the robot continuously deteriorates
Solution Approach 1:
The robot dynamically adjusts its movement behavior based on real-time visibility assessment. The control unit calculates whether the robot is within the visible range of specified persons and dynamically modifies the movement plan accordingly, transitioning between visible and invisible movement states as needed.
Solution Approach 2:
The system implements feedback by continuously monitoring the robot's position relative to the visible range of specified persons. The control unit receives information about the robot's current location and the calculated visible range, then uses this feedback to adjust movement decisions, ensuring the robot can be monitored when necessary while maintaining mobility.
2Loss of information
If the autonomous aerial robot is constrained to move only within visible range, then human monitoring capability is improved, but the robot's mobility and freedom of movement deteriorates
Solution Approach 1:
The robot dynamically adjusts its movement behavior based on real-time visibility assessment. The control unit calculates whether the robot is within the visible range of specified persons and dynamically modifies the movement plan accordingly, transitioning between visible and invisible movement states as needed.
Solution Approach 2:
The system changes the movement control parameters based on visibility conditions. When the robot is within the visible range, movement constraints are applied; when outside the visible range, constraints are relaxed. This parameter change approach allows the robot to switch between different movement modes optimally.
3Loss of information
If the robot constantly enters human view, then monitoring capability is improved, but the robot loses the ability to operate stealthily or without being seen
Solution Approach 1:
The robot dynamically adjusts its movement behavior based on real-time visibility assessment. The control unit calculates whether the robot is within the visible range of specified persons and dynamically modifies the movement plan accordingly, transitioning between visible and invisible movement states as needed.
Solution Approach 2:
The system applies different movement control strategies to different spatial regions. Within the visible range, the robot follows constrained paths that maintain visibility. Outside the visible range, the robot can move more freely and stealthily. This local quality approach allows the robot to adapt its behavior to the specific spatial context.
4Ease of operation
If the robot moves without visibility consideration, then mobility is improved, but the robot cannot be kept out of sight when needed
Solution Approach 1:
The robot dynamically adjusts its movement behavior based on real-time visibility assessment. The control unit calculates whether the robot is within the visible range of specified persons and dynamically modifies the movement plan accordingly, transitioning between visible and invisible movement states as needed.
Solution Approach 2:
The system changes the movement control parameters based on visibility conditions. When the robot is within the visible range, movement constraints are applied; when outside the visible range, constraints are relaxed. This parameter change approach allows the robot to switch between different movement modes optimally.
Data Source
AI summary
A method for controlling the movement of an autonomous mobile robot includes acquiring information regarding a person present around the autonomous mobile robot, calculating a visible range in which the autonomous mobile robot is visible to the eyes of the person on the basis of the acquired information regarding the person, and determining a movement range in which the autonomous mobile robot is movable on the basis of the calculated visible range, and causing the autonomous mobile robot to move within the determined movement range.