Robot Motion Pattern Control for Lifelike Adaptive Gestures
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Solution Overview
Problem
Conventional robot motion systems lack lifelikeness as they produce fixed and unchanged motions, making it difficult for robots simulating living creatures to exhibit varied and engaging behaviors.
Innovation Solution
A robot control device that includes a sensor to detect external actions, a processor to derive evaluation values of motion patterns, and generate new motion patterns by combining motion elements based on these evaluations, allowing the robot to make lifelike gestures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional motion correction techniques using personality parameters are used, then the robot can make unique motions different from other robots, but the motions become fixed and unchanged, lacking lifelikeness
Solution Approach 1:
The patent applies dynamics by making the motion pattern itself changeable over time. The system generates new motion patterns by combining motion elements from existing patterns, allowing the robot's motions to evolve and adapt while maintaining a degree of consistency through the structured combination process.
Solution Approach 2:
The patent changes the parameters of motion patterns by deriving evaluation values for existing patterns and using these to generate new patterns with modified characteristics. This allows the robot to vary its motions while maintaining quality through evaluation-based selection and combination.
2Stability of the object's composition
If the robot repeats uniform motions to maintain consistency, then the motion stability is preserved, but the robot lacks lifelikeness and engagement
Solution Approach 1:
The patent uses feedback by deriving evaluation values for motion patterns and using these evaluations to guide the generation of new patterns. This feedback mechanism ensures that new motions maintain quality and stability while introducing diversity through selective combination of evaluated motion elements.
Solution Approach 2:
The system dynamically adjusts motion patterns by combining elements from existing patterns based on their evaluation values, allowing the robot to maintain stable performance while adapting its motion repertoire to become more diverse and lifelike over time.
3Adaptability or versatility
If new motion patterns are generated by combining motion elements from existing patterns, then motion diversity and lifelikeness improve, but the system complexity increases
Solution Approach 1:
The patent applies segmentation by breaking down motion patterns into discrete motion elements that can be independently evaluated and combined. This modular approach allows for systematic generation of new patterns without requiring complete redesign, thus managing complexity while achieving diversity.
Solution Approach 2:
The system achieves universality by creating a reusable framework where motion elements from different patterns can be combined in various ways to generate new patterns. This multi-functional approach allows the same combination mechanism to produce diverse motions without increasing fundamental system complexity.
Data Source
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AI summary
A robot control device (10) controls a robot (1) including a sensor (50) that detects an action from outside and includes a processor (11). The processor (11) is configured to: cause the robot (1) to make motions in accordance with respective motion patterns (9) each of which is made up of a combination of motion elements (91, 92, 93, 94, 95, 96), in response to detecting the action from the outside with the sensor (50); derive respective evaluation values of the motion patterns (9); and generate a new motion pattern (9) by combining, based on the evaluation values, the motion elements (91, 92, 93, 94, 95, 96) of the motion patterns (9).