Autonomous Mobile Body Control Sequence Generation
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Solution Overview
Problem
Users without advanced technical knowledge find it difficult to design complex cooperative movements for autonomous mobile bodies with multiple joint parts, limiting their ability to teach new movements.
Innovation Solution
An information processing apparatus and method that generates control sequence data based on a teaching movement, allowing an autonomous mobile body to execute autonomous movements corresponding to the teaching movement, using an operation control unit that determines an action plan through situation estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If control sequence data is manually designed for complex cooperative movements with multiple joint parts, then movement precision and reliability are improved, but device complexity and difficulty of operation increase significantly for users without advanced technical knowledge
Solution Approach 1:
The system captures the operator's actual movement as teaching data and copies this movement pattern to generate control sequence data. Instead of requiring users to manually design complex control sequences, the system observes and replicates natural human movements, thereby simplifying the teaching process while maintaining reliable movement execution through accurate copying of the demonstrated motion patterns
Solution Approach 2:
The patent replaces manual control sequence design (mechanical/systematic approach) with automatic movement capture and recognition (sensor-based/intelligent approach). The movement recognition unit automatically processes captured movement data to generate appropriate control sequences, substituting the need for users to manually program complex multi-joint movements with an automated recognition and generation system
2Adaptability or versatility
If the autonomous mobile body has multiple joint parts capable of complex cooperative movements, then adaptability and versatility are improved, but device complexity increases making it difficult for users to design and control movements
Solution Approach 1:
The autonomous mobile body performs self-teaching by capturing its own movement data through onboard sensors and automatically generating control sequence data through its movement recognition unit. This self-service capability allows the system to expand its movement patterns without external intervention, maintaining versatility while avoiding the complexity burden on users who would otherwise need to program each movement
Solution Approach 2:
The system performs preliminary movement capture and stores it as teaching data before actual movement execution is needed. By pre-capturing and processing movement patterns, the system prepares control sequences in advance, allowing complex multi-joint movements to be executed later without requiring users to design control logic at the moment of need, thus reducing operational complexity
Data Source
AI summary
There is provided an information processing apparatus and an information processing method to increase movement patterns of an autonomous mobile body more easily, the information processing apparatus including an operation control unit configured to control an operation of a driving unit. The operation control unit generates, on the basis of a teaching movement, control sequence data for causing a driving unit of an autonomous mobile body to execute an autonomous movement corresponding to the teaching movement, and causes the driving unit to execute the autonomous movement according to the control sequence data, on the basis of an action plan determined by situation estimation. The information processing method includes controlling, by a processor, an operation of a driving unit, and the controlling further includes generating control sequence data, and causing the driving unit to execute an autonomous movement according to the control sequence data.