A Bio-Inspired Framework for Multi-Strategy Navigation in Autonomous Robots

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Chandan Sheikder, Weimin Zhang, Xiaopeng Chen, Fangxing Li, Zhengqing Zuo, Yichang Liu, Xiaohai He, Xinyan Tan, Shicheng Fan
DOI: 10.5281/zenodo.18512744
Cited by: 0

Abstract

This repository contains the source code and implementation for the paper "A Bio-Inspired Framework for Multi-Strategy Navigation in Autonomous Robots" published in Cell Reports Physical Science. The code implements a bio-inspired navigation framework that integrates multiple navigation strategies for autonomous robots, including: - Artificial neural network models for path planning - Multi-strategy navigation algorithms - Simulation and experimental validation scripts- Data processing and analysis tools This archived version corresponds to the exact code used to generate the results presented in the published paper. Related Publication Manuscript ID: CR-PHYS-SCI-D-25-00795R3 Journal: Cell Reports Physical Science

Fields of Study & Subjects

Robotic Path Planning Algorithms Reinforcement Learning in Robotics Control and Dynamics of Mobile Robots

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 February 2026
Language
EN