Self-Moving Robot Parameter Regulation for Module-Based Safety Control
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Solution Overview
Problem
Conventional self-moving robots face safety issues due to increased weight and inertia, leading to potential falls and collisions, especially when encountering stairs or obstacles, which can result in personal injury and robot damage.
Innovation Solution
A self-moving robot with a control mechanism and functional module recognition mechanism that regulates operating parameters such as walking speed and sensor settings based on the type of combined modules, ensuring stable operation and preventing toppling or falling by adjusting parameters like detection height and recharging voltage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Strength
If the self-weight of the self-moving robot is increased, then the robot may have better stability and carrying capacity, but it may run into obstacles and fall due to inertia increment
Solution Approach 1:
The patent applies dynamics by making the robot's speed adjustable based on its current load state. The control mechanism dynamically regulates the walking speed according to the combined weight of the robot and functional modules, allowing the robot to move slower when carrying heavy modules to prevent toppling while maintaining stability benefits of increased weight.
Solution Approach 2:
The patent changes operating parameters (speed, sensor detection height) based on the robot's weight state. When functional modules are combined, the control mechanism adjusts these parameters to maintain safety - reducing speed to counteract increased inertia and adjusting sensor parameters to account for changed center of gravity.
2Productivity
If the self-moving robot walks faster, then productivity is improved, but the risk of toppling or falling increases
Solution Approach 1:
The patent implements dynamic speed regulation where the robot adjusts its walking speed based on real-time detection of functional module combinations. When modules are detected, the robot automatically reduces speed to prevent toppling, and when no modules are attached, it can walk faster to maintain productivity.
Solution Approach 2:
The control mechanism uses feedback from the functional module detection mechanism to continuously adjust operating parameters. The detection mechanism provides information about module attachment, and the control mechanism uses this feedback to regulate speed and other parameters, creating a closed-loop control system that balances productivity and safety.
3Measurement precision
If the self-moving robot is provided with a downward-looking sensor with fixed parameters, then the robot can detect front situations, but it cannot adapt to different weight states and combination modes
Solution Approach 1:
The patent makes sensor parameters dynamic rather than fixed. The control mechanism adjusts sensor detection parameters based on the detected functional module type and weight, allowing the robot to adapt its detection capabilities to different operational states while maintaining accurate obstacle detection.
Solution Approach 2:
The patent changes sensor operating parameters based on the robot's weight state and module configuration. When functional modules are attached, the control mechanism adjusts detection parameters to account for the changed center of gravity and inertia, maintaining detection accuracy across different operational conditions.
Data Source
AI summary
The self-moving robot may be abutted with functional modules and may include a functional module recognition mechanism and a control mechanism. The control mechanism regulates an operating parameter or an operating mode of the self-moving robot according to the type of the functional module recognized by the recognition mechanism. Due to the utilization of the self-moving robot and the control method thereof provided by the present disclosure, parameters of the sensor and the self-walking speed and the like of the self-moving robot may be regulated according to actual situations under the condition that different modules are combined together to work, so that toppling or falling of the self-moving robot is reduced, and the safety of personnel and the robot itself may be improved.