Mobile Robot Safety Zone Generation From Predicted Motion
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Solution Overview
Problem
Existing methods for generating dynamic safety zones for mobile robots are limited by the need for users to manually input multiple safety zones based on speed and direction, leading to increased complexity and risk of user error.
Innovation Solution
A dynamic safety zone generating apparatus and method that acquires movement direction and speed of a mobile robot, predicts its future location, and dynamically generates a safety zone based on shape information and predicted location, reducing the need for user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of safety zones is increased to cover all traveling directions and speeds, then the safety coverage is improved, but the device complexity and risk of user error increase
Solution Approach 1:
The system automatically generates safety zones based on robot shape information, movement direction, and movement speed without requiring manual user input. The safety zone generating unit computes the appropriate safety zones dynamically as the robot moves, eliminating the need for users to pre-configure multiple zones for different directions and speeds.
Solution Approach 2:
The safety zones are generated dynamically in real-time based on the robot's current movement direction and speed rather than being static pre-configured zones. The system continuously updates the safety zones as the robot changes direction or speed, adapting to the current operational state automatically.
2Measurement precision
If the density between safety zones is increased to improve safety, then the safety precision is improved, but the number of zones increases leading to higher user error risk
Solution Approach 1:
The system automatically determines the appropriate number and distribution of safety zones based on robot parameters and movement characteristics, eliminating manual configuration. The safety zone generating unit computes zone density and positioning automatically, ensuring adequate safety coverage without requiring user judgment on optimal zone distribution.
Solution Approach 2:
The system adjusts safety zone parameters (number of zones, zone size, zone positioning) dynamically based on movement direction, movement speed, and robot shape information. As the robot changes speed or direction, the safety zone parameters are automatically recalculated and adjusted to maintain appropriate safety density.
3Adaptability or versatility
If manual input of safety zones is required for each speed and direction, then the adaptability to specific conditions is improved, but the ease of operation deteriorates
Solution Approach 1:
The system automatically adapts to different speeds and directions by computing safety zones based on real-time robot state information. The safety zone generating unit receives movement direction and movement speed data and automatically generates appropriate safety zones without requiring users to manually configure zones for each condition.
Solution Approach 2:
The safety zone generating unit serves multiple functions: it generates safety zones for all traveling directions, adapts to different speeds, and works with various robot shapes. This single automated system replaces the need for separate manual configurations for each direction and speed combination.
Data Source
AI summary
A functional safety system of a robot according to an exemplary embodiment of the present disclosure can generate a safety zone which is a zone to sense whether an obstacle is present.