A Machine Learning approach for collision avoidance and path planning of mobile robot under dense and cluttered environments-Reference-Cited by-同舟云学术

A Machine Learning approach for collision avoidance and path planning of mobile robot under dense and cluttered environments

Published:2022-10 Issue: Volume:103 Page:108376
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Das Subhranil^ORCID,Mishra Sudhansu Kumar

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference27 articles.

1. Driver error or designer error: Using the Perceptual Cycle Model to explore the circumstances surrounding the fatal Tesla crash on 7th May 2016;Banks;Saf. Sci.,2018

2. Obstacle avoidance of mobile robots using modified artificial potential field algorithm;Rostami;EURASIP Journal on Wireless Communications and Networking,2019

3. Real-time obstacle avoidance of mobile robots using state-dependent Riccati equation approach;Rostami;EURASIP Journal on Image and Video Processing,2018

4. A survey of learning-based robot motion planning;Wang;IET Cyber-Syst. Robot.,2021

5. A realistic evaluation of indoor robot position tracking systems: The IPIN 2016 competition experience;Pérez-Rubio;Measurement,2019

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. A Survey of Machine Learning Approaches for Mobile Robot Control;Robotics;2024-01-09

2. Development of Indoor Autonomous Mobile BOT for Static Obstacle Avoidance;Data Science and Applications;2024

3. Review of key technologies of climbing robots;Frontiers of Mechanical Engineering;2023-11-10

4. Multi-objective Stochastic Gradient Based ADR Mechanism for Throughput and Latency Optimization in LoRaWAN;International Journal of Sensors, Wireless Communications and Control;2023-11

5. Multiple Pedestrian Object Recognition to Correct User Direction of Vision-Impaired Assistive Device;2023 IEEE International Conference on Computing (ICOCO);2023-10-09