Robot Breathing Control for Charging-State Lifelike Interaction
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Solution Overview
Problem
Existing robots lack the ability to imitate the breathing patterns of living things and differentiate between charging and non-charging states, which can diminish the sense of life-like interaction.
Innovation Solution
A robot equipped with a controller that performs a breathing operation mimicking living beings, distinguishing between charging and non-charging states, and includes a reduced component design for the exterior to enhance movement imitation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the robot performs a breathing operation to imitate living things, then the sense of life-like interaction is improved, but the device complexity increases due to additional control requirements
Solution Approach 1:
The breathing operation control is merged with the existing charging control system. The controller integrates the breathing cycle regulation with charging state detection, so that a single control unit manages both the breathing motion and the charging state recognition, reducing overall system complexity while maintaining life-like interaction.
Solution Approach 2:
The controller is designed to perform multiple functions: it detects charging states, regulates breathing operations, and adapts breathing patterns based on energy levels. This multi-functional approach eliminates the need for separate dedicated circuits for each function, thereby reducing device complexity while achieving versatile life-like behavior.
2Adaptability or versatility
If the robot differentiates control content between charging and non-charging states, then the adaptability is improved, but the device complexity increases due to additional sensing and control requirements
Solution Approach 1:
The robot uses its existing power management circuitry to detect charging states without requiring additional external sensors. The controller monitors the power input status through the existing charging interface, allowing the system to self-determine its energy state and adjust breathing operations accordingly, thus avoiding additional sensing complexity.
Solution Approach 2:
The charging state detection function is combined with the existing power management system. The same controller that manages power distribution also detects charging status and adjusts breathing operations, merging multiple functions into a single control unit and reducing overall system complexity.
3Adaptability or versatility
If the robot regulates breathing cycle according to battery energy level, then the adaptability is improved, but the loss of information increases due to additional energy monitoring requirements
Solution Approach 1:
The controller utilizes its existing power management capabilities to monitor battery energy levels without requiring separate monitoring circuits. The same hardware that manages power distribution also tracks energy status and uses this information to regulate breathing cycles, eliminating the need for additional information gathering components.
Solution Approach 2:
The power management system performs multiple functions including power distribution, energy level monitoring, and breathing operation regulation. This multi-functional design allows the system to gain energy information already available through its power management functions without adding separate monitoring systems.
4Ease of manufacture
If the exterior design is simplified to reduce assembly costs, then the ease of manufacture is improved, but the measurement precision of exterior position may deteriorate
Solution Approach 1:
The patent replaces complex mechanical exterior structures with simpler designs that rely on optical or electronic detection methods for position measurement. By using non-mechanical sensing approaches, the system maintains measurement precision even with simplified exterior components, thereby reducing assembly costs without sacrificing detection accuracy.
Data Source
AI summary
A robot imitating a living thing and driven by a battery that is rechargeable, includes: an operator to perform an operation simulating a living thing; and a controller. The controller performs processing of causing the robot to perform a breathing operation that is an operation simulating breathing of a living thing at a predetermined cycle and processing of differentiating a control content of the operator between a charging breathing operation that is the breathing operation during charging of the battery and a non-charging breathing operation that is the breathing operation during non-charging of the battery.