Self-Balancing Mobile Agent Control for Active User Interaction
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Solution Overview
Problem
Current agent devices that respond to user actions primarily focus on information presentation and lack effective communication, with passive operations that do not actively engage users, leading to insufficient interaction.
Innovation Solution
An autonomous mobile body with a drive mechanism and operation control unit that maintains an inverted state, allowing it to move and interact with users through various physical actions, such as forward inclination travel, to induce communication and perform tasks like information presentation and behavior encouragement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If an agent device responds to user actions primarily through information presentation, then information delivery is achieved, but user engagement and communication effectiveness deteriorate
Solution Approach 1:
The patent inverts the conventional agent-device operation mode by switching from passive information presentation to active physical interaction. The mobile body autonomously approaches the user, makes physical contact, and performs actions like pushing or pulling objects, thereby transforming the interaction paradigm from information-centric to action-centric communication.
Solution Approach 2:
The mobile body performs tasks autonomously without requiring direct user commands for each action. It self-navigates to the user, self-determines appropriate interactions based on recognition results, and self-executes physical actions, thereby enhancing user engagement while maintaining effective communication.
2Device complexity
If an agent device performs passive operations, then device complexity is reduced, but communication effectiveness and user interaction deteriorate
Solution Approach 1:
The patent introduces dynamic operation modes where the mobile body transitions between different states (approach, contact, interaction, retreat) based on real-time recognition results. This dynamic behavior enables effective communication while managing complexity through state-based control rather than complex continuous control.
Solution Approach 2:
The system implements feedback loops where recognition results from sensors (camera, microphone, etc.) continuously inform the mobile body's behavior adjustments. This feedback mechanism enables adaptive communication effectiveness while maintaining manageable complexity through reactive control strategies.
Data Source
AI summary
Communication with a user is more naturally and effectively realized. An information processing apparatus includes an autonomous mobile body (10) that travels while maintaining an inverted state, and an operation control unit (230) that controls an operation of the autonomous mobile body. The autonomous mobile body includes a main body (10), two wheels (570) mounted on the main body, and a drive mechanism (565) that drives the two wheels. The operation control unit controls the drive mechanism to maintain the inverted state of the autonomous mobile body by the two wheels in a first state, and make the autonomous mobile body come to rest by the two wheels and a bottom of the main body when the autonomous mobile body transfers from the first state to a second state.