Robotic Payload Security Detection for In-Flight Corrective Response
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Solution Overview
Problem
Robotic vehicles, such as aerial robotic vehicles, often face issues with payloads not being securely attached, leading to shifting, loosening, or separation during transport, which compromises safety for the cargo, people, and the vehicle itself.
Innovation Solution
The implementation of sensors and onboard motors to detect changes in payload security, with a processor controlling corrective actions such as adjusting force on payload securing mechanisms, altering navigation plans, activating additional sensors, and transmitting assistance requests to ensure secure transport and safe landing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the robotic vehicle uses basic payload securing mechanisms without monitoring, then the device complexity is low, but the reliability of payload transport is compromised due to potential shifting or separation
Solution Approach 1:
The system performs preliminary detection of payload security status before transport issues occur. Sensors continuously monitor payload position and securing mechanism status, enabling early detection of loosening or shifting before it leads to separation or damage.
Solution Approach 2:
The system implements feedback loops where sensor data about payload security status is continuously fed back to the control system. This enables real-time monitoring and automatic corrective actions, such as adjusting securing mechanisms or alerting operators when payload security deteriorates.
2Reliability
If the robotic vehicle implements continuous payload security monitoring with multiple sensors, then the reliability improves, but the use of energy increases due to continuous operation of sensors and processing
Solution Approach 1:
Instead of continuous monitoring at maximum intensity, the system uses periodic sampling of payload security status. Sensors take measurements at intervals, and the control system processes data periodically, reducing overall energy consumption while maintaining adequate monitoring effectiveness for the transport duration.
Solution Approach 2:
The system activates full monitoring capabilities only when needed - such as when initial sensors detect potential issues or during critical phases of transport. During normal stable conditions, monitoring operates at reduced intensity, balancing reliability with energy conservation.
3Reliability
If the robotic vehicle takes corrective actions upon detecting insecure payload, then the safety and reliability improve, but the productivity decreases due to navigation plan changes and potential mission interruption
Solution Approach 1:
The system dynamically adjusts the response based on the severity and nature of the detected issue. For minor issues like slight shifting, the vehicle may continue with minimal course corrections. For more serious issues, it progressively escalates to navigation changes or mission interruption, optimizing the balance between safety and productivity based on real-time conditions.
Solution Approach 2:
The system prepares corrective measures in advance by having pre-programmed navigation alternatives and securing mechanism adjustments ready. When issues are detected, these pre-prepared responses can be quickly implemented, minimizing disruption to the mission timeline and reducing the productivity impact of safety corrections.
Data Source
AI summary
Various embodiments include methods, devices, and systems of transporting a payload using a robotic vehicle. Various embodiments may include determining whether a payload is securely held by the robotic vehicle, and taking a corrective action in response to determining that the payload is not securely held by the robotic vehicle.