Mobile Robot Bumper Sensor for Proportional Force Detection
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Solution Overview
Problem
Existing mobile robots rely on mechanical switches for obstacle detection, which provide binary feedback and are not sensitive enough to accurately determine the location, magnitude, and duration of forces applied to bumpers, limiting their ability to navigate effectively around obstacles.
Innovation Solution
The use of capacitive, inductive, or Hall effect sensors that detect movement of the bumper relative to the robot body, generating electrical signals proportional to displacement, allowing for the determination of force attributes such as location, magnitude, and duration, enabling more precise navigation and obstacle avoidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mechanical switches are used for obstacle detection, then the device structure is simple, but the measurement precision of force attributes is insufficient
Solution Approach 1:
The patent replaces mechanical switches with capacitive, inductive, or Hall effect sensors to detect bumper movement. These sensors provide continuous analog signals proportional to displacement, enabling precise measurement of force location, magnitude, and duration without the binary limitation of mechanical switches.
Solution Approach 2:
The patent changes the detection parameter from binary switch states to continuous electrical signals that vary proportionally with bumper displacement. This allows the system to measure multiple force attributes simultaneously with high precision by analyzing the magnitude and variation of the electrical signals.
2Loss of information
If binary feedback from mechanical switches is used, then the device complexity is low, but the information completeness about force attributes is lost
Solution Approach 1:
The patent substitutes mechanical switches with field-based sensors (capacitive, inductive, or Hall effect) that provide continuous information about bumper position and movement. This eliminates information loss by capturing nuanced variations in force application rather than simple contact/non-contact states.
Solution Approach 2:
The patent implements a feedback system where the controller continuously monitors electrical signals from the sensors, interprets them to determine force attributes, and uses this information to adjust robot navigation in real-time. This comprehensive feedback loop preserves all relevant force information for intelligent decision-making.
3Ease of operation
If mechanical switches are used for obstacle detection, then the ease of operation is adequate, but the navigational effectiveness is limited
Solution Approach 1:
The patent implements comprehensive feedback from multiple sensor types that provide detailed information about obstacle forces. The controller uses this rich data to make intelligent navigation decisions, improving productivity by enabling more effective obstacle avoidance and path planning while maintaining ease of operation through automated processing.
Solution Approach 2:
The patent creates a multi-functional sensor system that simultaneously detects force location, magnitude, and duration using capacitive, inductive, or Hall effect sensors. This universal detection capability enhances navigational effectiveness by providing comprehensive obstacle information without requiring multiple separate sensor systems, thus maintaining operational simplicity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The sensor system enhances the robot's ability to detect and respond to obstacles with high sensitivity, reducing the likelihood of getting stuck and improving navigational behaviors by accurately measuring small displacements and providing detailed force feedback.
Implementation Method 1
each sensor may be a capacitive sensor having one plate movably mounted so that the plate moves along with the bumper relative to the chassis, and another plate mounted so that it is stationary relative to the chassis. Movement of one plate relative to another, due to the movement of the bumper, causes the capacitive sensor to output an electrical signal having a magnitude or value proportional to the distance between the plates.
Implementation Method 2
The use of capacitive, inductive, or Hall effect sensors that detect movement of the bumper relative to the robot body
Implementation Method 3
The use of capacitive, inductive, or Hall effect sensors that detect movement of the bumper relative to the robot body
Data Source
AI summary
A robot includes a body and a bumper. The body is movable relative to a surface and includes a first portion of a sensor. The bumper is mounted on the body and movable relative to the body and includes a backing and a second portion of the sensor. The backing is movable relative to the body in response to a force applied to the bumper. The second portion of the sensor is attached to the backing and movable with the backing relative to the first portion of the sensor in response to a force applied to the bumper. The sensor is configured to output an electrical signal in response to a movement of the backing. The electrical signal is proportional to an amount of displacement of the second portion relative to the first portion.