Anytime Informed Multi-Path Replanning Strategy for Complex Environments

In many real-world applications (e.g., human-robot collaboration), the environment changes rapidly, and the intended path may become invalid due to moving obstacles. In these situations, the robot should quickly find a new path to reach the goal, possibly without stopping. Planning from scratch or r...

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Bibliographic Details
Main Authors: Cesare Tonola, Marco Faroni, Manuel Beschi, Nicola Pedrocchi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10013661/