Adaptive Field Collection Scheduling for Battery-Efficient Robots
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Solution Overview
Problem
Conventional robotic collection systems face inefficiencies in battery consumption and collection management due to fixed work schedules, which do not adapt to the actual state of target objects on the field.
Innovation Solution
A robotic collection system that adjusts its work schedule based on the state of target objects on the field, using sensors and controllers to optimize travel and collection efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a fixed work schedule is used for collection work, then the system can operate automatically according to preset timing, but battery consumption increases and collection efficiency decreases when target objects are scarce
Solution Approach 1:
The management controller receives information about the amount of target objects from the working robot after each collection task, uses this feedback to dynamically adjust future work schedules, thereby optimizing battery consumption by avoiding unnecessary trips when target objects are scarce
Solution Approach 2:
The work schedule transitions from a static fixed timetable to a dynamic schedule that adapts based on the actual state of target objects on the field, allowing the system to modify collection frequency and timing according to real-time conditions
2Productivity
If a fixed work schedule is used for collection work, then the system can maintain regular operation intervals, but collection effectiveness decreases when target objects are abundant
Solution Approach 1:
The system uses feedback from the working robot regarding the amount of target objects collected to inform the management controller, which then adjusts the work schedule to increase collection frequency when targets are abundant, thereby improving overall collection effectiveness
Solution Approach 2:
The work schedule parameters (timing, frequency, duration) are changed dynamically based on the state of target objects, allowing the system to intensify collection operations when targets are plentiful and reduce operations when targets are scarce
3Reliability
If the working robot travels frequently according to a preset schedule, then regular collection tasks are performed, but unnecessary travel occurs when target objects are not available
Solution Approach 1:
The management controller receives feedback information about the actual amount of target objects from the working robot and uses this information to adjust the work schedule, eliminating unnecessary travel tasks when target objects are not available while maintaining reliable collection when targets are present
Data Source
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AI summary
Efficient collection work and proper collection management of target objects are realized by changing a work schedule depending on the state of the target objects on a field. A robotic collection system (1) includes: a working robot (10) configured to autonomously travel on the field to collect the target objects on the field; and a management controller (P3) configured to manage the work schedule of the working robot (10). The management controller (P3) obtains information about an amount of the target objects on the field, and changes an existing work schedule based on the information. Further, the management controller (P3) compares the information obtained under a set condition with a threshold to change the work schedule.