OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement Learning
K Sivanathan, B. K. Vinayagam, Tanmay Vilas Samak, et al.
(2020)
Open Access | Times Cited: 14
K Sivanathan, B. K. Vinayagam, Tanmay Vilas Samak, et al.
(2020)
Open Access | Times Cited: 14
Showing 14 citing articles:
Multi-Agent Deep Reinforcement Learning for Multi-Robot Applications: A Survey
James Orr, Ayan Dutta
Sensors (2023) Vol. 23, Iss. 7, pp. 3625-3625
Open Access | Times Cited: 60
James Orr, Ayan Dutta
Sensors (2023) Vol. 23, Iss. 7, pp. 3625-3625
Open Access | Times Cited: 60
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures
Lu Dong, Zichen He, Chunwei Song, et al.
Journal of Systems Engineering and Electronics (2023) Vol. 34, Iss. 2, pp. 439-459
Open Access | Times Cited: 52
Lu Dong, Zichen He, Chunwei Song, et al.
Journal of Systems Engineering and Electronics (2023) Vol. 34, Iss. 2, pp. 439-459
Open Access | Times Cited: 52
A survey of learning‐based robot motion planning
Jiankun Wang, Tianyi Zhang, Nachuan Ma, et al.
IET Cyber-Systems and Robotics (2021) Vol. 3, Iss. 4, pp. 302-314
Open Access | Times Cited: 49
Jiankun Wang, Tianyi Zhang, Nachuan Ma, et al.
IET Cyber-Systems and Robotics (2021) Vol. 3, Iss. 4, pp. 302-314
Open Access | Times Cited: 49
Hierarchical multi-robot navigation and formation in unknown environments via deep reinforcement learning and distributed optimization
Lu Chang, Liang Shan, Weilong Zhang, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 83, pp. 102570-102570
Closed Access | Times Cited: 19
Lu Chang, Liang Shan, Weilong Zhang, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 83, pp. 102570-102570
Closed Access | Times Cited: 19
AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin Ecosystem for Autonomous Driving Research & Education
Tanmay Vilas Samak, Chinmay Vilas Samak, Sivanathan Kandhasamy, et al.
Robotics (2023) Vol. 12, Iss. 3, pp. 77-77
Open Access | Times Cited: 11
Tanmay Vilas Samak, Chinmay Vilas Samak, Sivanathan Kandhasamy, et al.
Robotics (2023) Vol. 12, Iss. 3, pp. 77-77
Open Access | Times Cited: 11
Robust Behavioral Cloning for Autonomous Vehicles Using End-to-End Imitation Learning
Tanmay Vilas Samak, Chinmay Vilas Samak, Sivanathan Kandhasamy
SAE International Journal of Connected and Automated Vehicles (2021) Vol. 4, Iss. 3
Open Access | Times Cited: 11
Tanmay Vilas Samak, Chinmay Vilas Samak, Sivanathan Kandhasamy
SAE International Journal of Connected and Automated Vehicles (2021) Vol. 4, Iss. 3
Open Access | Times Cited: 11
Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation
Zhixuan Liang, Jiannong Cao, Shan Jiang, et al.
2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS) (2022), pp. 884-894
Open Access | Times Cited: 7
Zhixuan Liang, Jiannong Cao, Shan Jiang, et al.
2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS) (2022), pp. 884-894
Open Access | Times Cited: 7
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures
Zichen He, Jiawei Wang, Chunwei Song
arXiv (Cornell University) (2021)
Open Access | Times Cited: 5
Zichen He, Jiawei Wang, Chunwei Song
arXiv (Cornell University) (2021)
Open Access | Times Cited: 5
Deep Reinforcement Learning for Robotics Motion Planning Combining Graph Neural Networks and Multi-Agent Systems
Gaith Rjoub, Jamal Bentahar, Hanae Elmekki, et al.
(2024)
Closed Access
Gaith Rjoub, Jamal Bentahar, Hanae Elmekki, et al.
(2024)
Closed Access
Study of Variational Inference for Flexible Distributed Probabilistic Robotics
Malte Rørmose Damgaard, Rasmus Pedersen, Thomas Bak
Robotics (2022) Vol. 11, Iss. 2, pp. 38-38
Open Access | Times Cited: 3
Malte Rørmose Damgaard, Rasmus Pedersen, Thomas Bak
Robotics (2022) Vol. 11, Iss. 2, pp. 38-38
Open Access | Times Cited: 3
Optimization of Smart Textiles Robotic Arm Path Planning: A Model-Free Deep Reinforcement Learning Approach with Inverse Kinematics
Di Zhao, Zhenyu Ding, Wenjie Li, et al.
Processes (2024) Vol. 12, Iss. 1, pp. 156-156
Open Access
Di Zhao, Zhenyu Ding, Wenjie Li, et al.
Processes (2024) Vol. 12, Iss. 1, pp. 156-156
Open Access
Group and Socially Aware Multi-Agent Reinforcement Learning
Manav Vallecha, Rahul Kala
2022 30th Mediterranean Conference on Control and Automation (MED) (2022), pp. 73-78
Closed Access | Times Cited: 2
Manav Vallecha, Rahul Kala
2022 30th Mediterranean Conference on Control and Automation (MED) (2022), pp. 73-78
Closed Access | Times Cited: 2
Machine Learning Based Relative Orbit Transfer for Swarm Spacecraft Motion Planning
Alex Sabol, Kyongsik Yun, Muhammad Adil, et al.
2022 IEEE Aerospace Conference (AERO) (2022), pp. 1-11
Open Access | Times Cited: 2
Alex Sabol, Kyongsik Yun, Muhammad Adil, et al.
2022 IEEE Aerospace Conference (AERO) (2022), pp. 1-11
Open Access | Times Cited: 2
