Anytime Informed Multi-Path Replanning Strategy for Complex Environments-Reference-Cited by-同舟云学术

Anytime Informed Multi-Path Replanning Strategy for Complex Environments

Published:2023 Issue: Volume:11 Page:4105-4116
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Tonola Cesare¹^ORCID,Faroni Marco²,Beschi Manuel¹,Pedrocchi Nicola³^ORCID

Affiliation:

1. Dipartimento di Ingegneria Meccanica e Industriale, University of Brescia, Brescia, Italy

2. Department of Robotics, University of Michigan, Ann Arbor, MI, USA

3. Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing of the National Research Council of Italy (CNR-STIIMA), Milan, Italy

Funder

European Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10013661.pdf?arnumber=10013661

Reference45 articles.

1. Anytime informed path re-planning and optimization for robots in changing environments;tonola;arXiv 2103 13245,2021

2. Online Motion Planning Over Multiple Homotopy Classes with Gaussian Process Inference

3. A Predictive Path Planning Algorithm for Mobile Robot in Dynamic Environments Based on Rapidly Exploring Random Tree

4. An incremental learning approach to motion planning with roadmap management;li;J Inf Sci Eng,2002

5. Dynamic path planning and replanning for mobile robots using RRT

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. “Reinforcement learning particle swarm optimization based trajectory planning of autonomous ground vehicle using 2D LiDAR point cloud”;Robotics and Autonomous Systems;2024-08

2. Online Adaptation of Sampling-Based Motion Planning with Inaccurate Models;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Path Planning Based on A-Star and Dynamic Window Approach Algorithm for Wild Environment;Journal of Shanghai Jiaotong University (Science);2024-04-23

4. Robot Operating System 2 (ROS2)-Based Frameworks for Increasing Robot Autonomy: A Survey;Applied Sciences;2023-11-29

5. A Spatio-Temporal Prediction and Planning Framework for Proactive Human–Robot Collaboration;Journal of Manufacturing Science and Engineering;2023-10-17