Robotic Navigation Optics for Distortion Through Curved Safety Windows
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Solution Overview
Problem
Robotic machines equipped with LiDAR navigation systems face reduced accuracy in explosive environments due to signal distortion caused by thick, curved protective windows, which can lead to inaccurate object detection and guidance, potentially making their use unsafe.
Innovation Solution
Incorporating corrective lenses between the signal transmitting and receiving means and the window to correct signal distortion, allowing for more accurate signal processing and guidance, even with thick, curved windows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a thick, curved protective window is used to protect the guidance apparatus in explosive environments, then protection against explosion is improved, but signal detection accuracy deteriorates due to parallax distortion
Solution Approach 1:
A corrective lens is introduced as an intermediary optical element between the protective window and the detection means. This lens compensates for the parallax distortion caused by the thick curved window, allowing the system to maintain both protection and measurement accuracy. The corrective lens acts as a mediator that counteracts the harmful optical effects of the protective window.
Solution Approach 2:
The invention changes the optical parameters of the system by introducing a corrective lens with specific focal length and optical properties. This lens modifies the path of light signals to compensate for distortion, effectively changing the optical configuration to maintain accuracy despite the protective window's interference.
2Measurement precision
If a flat protective window is used, then signal detection accuracy is improved, but protection against explosion deteriorates
Solution Approach 1:
The corrective lens serves as an intermediary that enables the use of curved protective windows without sacrificing measurement accuracy. It mediates between the protective function of the curved window and the detection function of the guidance apparatus, allowing both requirements to be satisfied simultaneously.
3Measurement precision
If the protective window is made thinner to reduce signal distortion, then signal detection accuracy is improved, but protection against explosion deteriorates
Solution Approach 1:
The corrective lens intermediary allows the system to use thick protective windows for maximum protection while compensating for the resulting optical distortion. This eliminates the need to thin the protective window, maintaining both protection and accuracy.
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 use of corrective lenses significantly improves the accuracy of signal detection and guidance, enabling safe and effective navigation of robotic machines in potentially hazardous environments by minimizing signal distortion through the protective windows.
Implementation Method 1
the accuracy of the detection and subsequent location and guidance of the apparatus is relatively high. However, when the surface of the panel or window is curved, the effect of parallax causes distortion and alteration of the paths of the transmitted and received signals
Data Source
AI summary
The invention relates to the provision of a robotic machine apparatus, a movement navigation system for said robotic machine and a method of providing guidance for said robotic machine within an environment, and most typically, a confined and potentially hazardous environment. The movement navigation is provided to be operate within the environment and provide guidance remotely from personnel who are located outside of said environment. The apparatus includes means to emit at least one signal through a window of said machine and means to receive a reflected return signal from an object in or a surface of the said environment through said or another window so as to provide data to determine the location of the robotic machine and guide the movement of the machine within the environment.