Adaptive Planning for Multi-Robot Uncertainty Perception in Dynamic Tasks
Published in Patent Application, 2024
Abstract
This patent describes an adaptive planning method for multi-robot systems that incorporates uncertainty perception capabilities for dynamic task environments. The method enables robots to adapt their planning strategies based on real-time uncertainty assessment and environmental changes.
Key Features
- Uncertainty Quantification: Real-time assessment of environmental and task uncertainties
- Adaptive Planning: Dynamic adjustment of planning strategies based on uncertainty levels
- Multi-robot Coordination: Coordinated planning across multiple robots with uncertainty awareness
- Robust Performance: Enhanced reliability in dynamic and uncertain environments
Applications
- Autonomous exploration and mapping
- Multi-robot task allocation
- Dynamic environment navigation
- Collaborative robotics systems
Recommended citation: Zhao, Q. (2024). Adaptive Planning for Multi-Robot Uncertainty Perception in Dynamic Tasks. Patent Application.
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