Robot Behavior Planning for Sound and Light Risk Avoidance

The planning unit proactively identifies influence targets (people, pets, other robots) before the robot executes movements or operations. By predicting the spatial propagation of sound and light risks in advance, the system selects behaviors that prevent harmful effects before they occur, rather than reacting after damage is done. This resolves the contradiction by maintaining productivity while preemptively eliminating harmful factors.

The system transforms the potentially harmful sound and light emissions into beneficial information for path planning. By modeling the propagation characteristics of these risks and identifying influence targets, the planning unit uses this risk information to optimize behavior selection, choosing paths and operations that minimize negative impact while maintaining operational effectiveness. The harmful factors become the basis for intelligent decision-making.

The planning unit is designed to handle multiple types of risks simultaneously - both physical obstacles and non-physical risks like sound and light propagation. By integrating influence target identification, risk propagation prediction, and multi-criteria behavior selection, the system provides universal risk management across different risk types, resolving the contradiction between reliable collision avoidance and adaptability to various risk scenarios.

The risk assessment process is segmented into distinct functional components: influence target identification, risk propagation prediction, and behavior evaluation. This segmentation allows the system to independently process different risk types (physical and non-physical) and integrate them into a unified decision-making framework, enhancing both reliability for collision avoidance and adaptability to diverse risk scenarios.

The system continuously monitors the environment for influence targets (people, pets, other robots) and uses this feedback to adjust behavior selection in real-time. When sensitive targets are detected in the vicinity, the planning unit modifies path planning and operation timing to minimize risk exposure. This feedback mechanism enables the robot to operate flexibly in populated environments while protecting vulnerable targets from harmful effects.

Before executing movements or operations in environments with people, the planning unit performs preliminary risk assessment by identifying influence targets and predicting risk propagation. This preliminary action allows the robot to pre-select safe behaviors or adjust operational parameters before entering sensitive areas, ensuring operational flexibility while preventing harm to vulnerable targets.