Autonomous Lawn Mower Rework Control From User Satisfaction Detection
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Solution Overview
Problem
Existing autonomous lawn mowing machines lack the capability to determine if rework is needed based on user satisfaction, requiring manual instruction for re-mowing.
Innovation Solution
A working system equipped with a user state detecting unit, rework determining unit, and actuator controlling unit that assesses user satisfaction through facial expressions, speech, and motion to autonomously decide and perform rework if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the working machine performs automatic lawn mowing without user intervention, then productivity is improved, but the system cannot adapt to user satisfaction requirements and requires manual instruction for rework
Solution Approach 1:
The system incorporates a user state detecting unit that continuously monitors user satisfaction levels and feeds this information back to the control unit. The control unit then adjusts working parameters or triggers rework based on this feedback, enabling the automatically operating machine to adapt to user requirements without manual intervention.
Solution Approach 2:
The working machine autonomously determines when rework is needed by processing user state information through the rework determining unit. The system self-manages the decision-making process for rework without requiring user commands, thereby maintaining automatic operation while adapting to satisfaction levels.
2Adaptability or versatility
If the system continuously monitors user state to determine rework needs, then adaptability to user satisfaction is improved, but device complexity increases
Solution Approach 1:
The system uses a user state detecting unit as an intermediary that indirectly measures satisfaction through observable parameters such as facial expressions, speech, or motion. This intermediary approach allows the system to infer satisfaction levels without requiring direct communication or complex psychological measurement devices.
Solution Approach 2:
The patent replaces direct manual communication mechanisms with automated detection systems using sensors and image processing. Instead of requiring users to verbally or physically indicate satisfaction, the system substitutes these mechanical/physical interaction methods with electronic detection and analysis of user states.
3Device complexity
If manual instruction is required for rework, then system complexity is reduced, but user effort and time consumption increase
Solution Approach 1:
The working machine autonomously initiates rework by processing user state information through the rework determining unit. Once the control unit decides rework is needed based on detected user dissatisfaction, it automatically commands the working actuator to perform rework without requiring the user to issue any instructions, thereby eliminating user time loss while maintaining manageable system complexity.
Data Source
AI summary
A working system (100) includes: a working actuator (26) installed on a working machine (1); a camera (21) and a microphone (22) detecting a state of a user changing in accordance with a satisfaction level; a rework determining unit (11) determining whether a rework is needed based on the detected state of the user after a predetermined work is performed by the working machine (1); and an actuator controlling unit (15) controlling the working actuator (26) to perform the rework when it is determined by the rework determining unit (11) that the rework is needed.