Working Robot Boundary Setting Based on Battery Work Capacity
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Solution Overview
Problem
Users face increased burden in setting virtual boundaries for working robots, leading to inefficient work completion due to unknown workable time and potential unfinished tasks in defined regions, especially when multiple regions are prioritized.
Innovation Solution
A working robot system that includes a processor to set a preferential working region based on the work capacity, utilizing location information and battery charging capacity to define a work boundary, allowing efficient completion of tasks within the region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually set virtual boundaries to define working regions, then the working robot can perform autonomous work, but the user burden increases and work completion efficiency decreases due to inability to accurately determine workable time
Solution Approach 1:
The system automatically determines the preferential working region by calculating the robot's work capacity based on battery charging capacity and work speed, eliminating the need for users to manually set virtual boundaries. The processor autonomously performs the boundary-setting function that previously required user input, thereby reducing user burden while improving work completion efficiency.
Solution Approach 2:
The system dynamically adjusts the work boundary parameters based on the robot's battery charging capacity and work speed. By changing the boundary definition from a fixed user-set virtual boundary to a dynamic parameter based on robot capacity, the system optimizes both ease of operation and productivity.
2Adaptability or versatility
If users define preferential working regions with virtual boundaries, then specific regions can be prioritized for work, but work may remain incomplete in defined regions due to unknown workable time
Solution Approach 1:
The system incorporates feedback by continuously monitoring the robot's battery charging capacity and work speed to dynamically adjust the preferential working region boundaries. This feedback mechanism ensures that the defined region can be reliably completed within the robot's actual work capacity, preventing incomplete tasks while maintaining preferential region prioritization.
Solution Approach 2:
The work boundary is transformed from a static user-defined virtual boundary to a dynamic boundary that adjusts based on real-time robot capacity parameters (battery charging capacity and work speed). This dynamic adjustment ensures the preferential working region is always within reliable completion limits.
3Area of stationary object
If multiple preferential regions are set by users, then comprehensive coverage can be achieved, but the complexity of setting and managing boundaries increases
Solution Approach 1:
The system extracts the boundary-setting function from user operations and transfers it to the processor, which automatically determines preferential working regions based on robot capacity. This eliminates the complexity of manual boundary setting while maintaining comprehensive area coverage through automated multi-region management.
Solution Approach 2:
The processor performs multiple functions: it calculates work capacity, determines preferential working regions, adjusts boundaries dynamically, and manages multiple regions simultaneously. This universal approach replaces the need for users to manually configure multiple boundaries, reducing complexity while achieving comprehensive coverage.
Data Source
AI summary
A working robot system includes a working robot, and a processor configured to set a working region in which the working robot performs work. The working robot includes: a machine including a traveling device configured to be able to autonomously travel; a working device configured to perform the work along a traveling route of the machine; a driving device configured to drive the traveling device and the working device; and a battery as a power source of the driving device. The processor sets a work boundary to define a preferential working region where the work can be finished, in view of work capacity of the working robot, based on location information of a preferential location set by input.