Robotic Touch-Down Detection Using Multi-Sensor Fusion
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Solution Overview
Problem
Robotic devices face challenges in accurately detecting touch-down events, which is crucial for efficient navigation and preventing damage, especially in environments with varying elevations and obstacles, due to the limitations of existing force detection methods that can lead to false positives or negatives.
Innovation Solution
The implementation of a system that receives force signals from actuators and pressure sensors, coupled with operational state modifications and threshold comparisons, allows for precise detection of touch-down events by combining signals from different sensors, including pneumatic sensors and load cells, to provide a confident indication of contact with the environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing force detection methods are used, then the robotic device can detect contact with the environment, but the detection accuracy is insufficient leading to false positives or negatives
Solution Approach 1:
The patent combines multiple force detection methods (actuator force signals and pressure sensor signals) into a unified touch-down detection system. The computing system receives both actuator force signals and pressure sensor output signals, integrates them through signal processing, and makes touch-down determination based on the combined information, thereby improving detection accuracy and reducing false positives or negatives.
2Measurement precision
If multiple sensors are combined for touch-down detection, then the accuracy and reliability of detection is improved, but the device complexity increases
Solution Approach 1:
The computing system serves multiple functions: it processes actuator force signals, processes pressure sensor output signals, integrates these signals, determines operational states, and makes touch-down determinations. This multi-functional approach consolidates what could be separate systems into a single universal computing platform, improving detection accuracy while managing complexity through functional integration.
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
This approach enhances the accuracy and reliability of touch-down event detection, reducing false positives and negatives, thereby improving the robotic device's performance and energy efficiency in navigating diverse environments.
Implementation Method 1
receiving an output signal from a pressure sensor provided on a limb of the robotic device. The pressure sensor is coupled to a tube comprising a fluid. The output signal may correspond to a force applied to the tube due to an end component of the limb contacting an element in an environment
Data Source
AI summary
Example methods and devices for touch-down detection for a robotic device are described herein. In an example embodiment, a computing system may receive a force signal due to a force experienced at a limb of a robotic device. The system may receive an output signal from a sensor of the end component of the limb. Responsive to the received signals, the system may determine whether the force signal satisfies a first threshold and determine whether the output signal satisfies a second threshold. Based on at least one of the force signal satisfying the first threshold or the output signal satisfying the second threshold, the system of the robotic device may provide a touch-down output indicating touch-down of the end component of the limb with a portion of an environment.