Adaptive Traveling Rules for Movable Robot Obstacle Avoidance
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Solution Overview
Problem
Existing technologies for movable apparatuses, such as robots in facilities, face reduced freedom of movement and efficiency due to strict adherence to predetermined travel rules, especially in environments with unpredictable obstacles, leading to potential collisions.
Innovation Solution
An information processing apparatus that dynamically adjusts traveling rules based on real-time environment information, including obstacle behavior and road surface conditions, to enhance the movable apparatus's control and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a movable robot strictly complies with predetermined traveling rules, then safety is improved, but work efficiency is degraded and degree of freedom is reduced
Solution Approach 1:
The patent applies dynamics by enabling the movable apparatus to dynamically adjust its traveling rules based on real-time environmental conditions. The control unit modifies traveling rules according to detected obstacle patterns, road surface states, and other environmental factors, allowing the system to transition from static predetermined rules to adaptive dynamic rules that optimize both safety and efficiency
Solution Approach 2:
The patent implements parameter changes by modifying traveling rule parameters such as travel direction preferences, speed limits, and path selection criteria based on environmental conditions. The control unit adjusts these parameters dynamically to balance safety requirements with work efficiency, allowing the movable apparatus to adapt its behavior to changing situations
2Adaptability or versatility
If a movable robot changes traveling rules frequently to adapt to environment, then degree of freedom is improved, but system complexity increases
Solution Approach 1:
The patent employs feedback mechanisms where the control unit continuously monitors environmental conditions through detectors and uses this information to adjust traveling rules. The system incorporates feedback loops that evaluate the effectiveness of rule changes and modify rules accordingly, enabling adaptive behavior without requiring overly complex system architecture
Solution Approach 2:
The movable apparatus performs self-service by autonomously adjusting its own traveling rules based on environmental feedback without external intervention. The control unit independently evaluates conditions and modifies traveling rules, reducing the need for complex external control systems while maintaining high adaptability
Data Source
AI summary
An information processing apparatus acquires control-related information that includes dynamically changing environment information used for control of a movable apparatus, and adjusts, based on the acquired control-related information, a traveling rule that is followed by the movable apparatus. In addition, the information processing apparatus controls driving of the movable apparatus based on travel control information including the adjusted traveling rule. The control-related information includes, for example, map information, behavioral information of the movable apparatus, behavioral information of an obstacle, movable apparatus-specific information, road surface configuration information, traveling history information, and the like.