Robotic Soil Cultivation Using Traction Threshold Control
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Solution Overview
Problem
Existing robotic vehicles for soil cultivation face inefficiencies and damage due to changing environmental conditions, such as traction losses from water or dry soil, leading to unsatisfactory or degraded work area states during operations like mowing or aerification.
Innovation Solution
A robotic vehicle system that measures traction values across a work area and only performs soil cultivation when the measured traction exceeds a minimum threshold, using sensors and algorithms to prevent operations in conditions that could result in slipping or tool damage, and adjusts movement trajectories based on soil moisture and slope.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the robotic vehicle performs soil cultivation operations continuously regardless of environmental conditions, then productivity is maintained, but the work area may be degraded and operation efficiency decreases due to wheel slip and tool damage
Solution Approach 1:
The system continuously monitors traction conditions through sensors and feeds this information back to the control unit, which automatically adjusts or suspends operations based on real-time traction threshold comparisons, resolving the contradiction between continuous operation and work area protection
Solution Approach 2:
The system dynamically adapts operational status based on changing environmental conditions by comparing real-time traction measurements against thresholds, allowing the vehicle to transition between operating and suspended states to maintain both productivity and work area quality
2Productivity
If the robotic vehicle operates on wet or slippery surfaces, then productivity is maintained, but energy consumption increases and wheel slip damages the work area
Solution Approach 1:
The control unit receives real-time traction feedback from sensors and automatically suspends operations when traction thresholds are not met, preventing excessive energy consumption from wheel spin and slip while protecting the work area
3Productivity
If the robotic vehicle performs soil cultivation in all weather conditions, then productivity is maximized, but the accuracy and quality of cultivation deteriorates due to changing traction conditions
Solution Approach 1:
The system uses real-time traction feedback to determine appropriate operating conditions, suspending operations when traction conditions fall below thresholds, thereby ensuring cultivation accuracy is maintained while optimizing productivity through condition-based operation scheduling
Data Source
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AI summary
The invention relates to a robotic vehicle (100) for a movable operation in a work area (108), the movable operation comprising a soil cultivation. The vehicle (100) comprises a controller (118) with a memory (122) and a processor (120). The memory (122) comprising instructions (124), execution of which causes the vehicle (100) to measure a traction value. The traction value represents a local traction of one or more drive wheels (1500) of the robotic vehicle (100) within at least a subarea (1206; 1208) of the work area (108). The measured traction value is compared with a first predefined traction threshold defining a minimum traction value for the subarea (1206; 1208) of the work area (108) and, in case the measured traction value exceeds the minimum traction value, the movable operation with the soil cultivation is performed in the subarea (1206; 1208) of the work area (108) following a scheduled movement trajectory (1200; 1202) covering the subarea (1206; 1208).