
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:
World models and predictive coding for cognitive and developmental robotics: frontiers and challenges
Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, et al.
Advanced Robotics (2023) Vol. 37, Iss. 13, pp. 780-806
Open Access | Times Cited: 35
Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, et al.
Advanced Robotics (2023) Vol. 37, Iss. 13, pp. 780-806
Open Access | Times Cited: 35
Showing 1-25 of 35 citing articles:
Generating meaning: active inference and the scope and limits of passive AI
Giovanni Pezzulo, Thomas Parr, Paul Cisek, et al.
Trends in Cognitive Sciences (2023) Vol. 28, Iss. 2, pp. 97-112
Open Access | Times Cited: 34
Giovanni Pezzulo, Thomas Parr, Paul Cisek, et al.
Trends in Cognitive Sciences (2023) Vol. 28, Iss. 2, pp. 97-112
Open Access | Times Cited: 34
Neural representation in active inference: Using generative models to interact with—and understand—the lived world
Giovanni Pezzulo, Leo D’Amato, Francesco Mannella, et al.
Annals of the New York Academy of Sciences (2024) Vol. 1534, Iss. 1, pp. 45-68
Open Access | Times Cited: 9
Giovanni Pezzulo, Leo D’Amato, Francesco Mannella, et al.
Annals of the New York Academy of Sciences (2024) Vol. 1534, Iss. 1, pp. 45-68
Open Access | Times Cited: 9
Collective predictive coding hypothesis: symbol emergence as decentralized Bayesian inference
Tadahiro Taniguchi
Frontiers in Robotics and AI (2024) Vol. 11
Open Access | Times Cited: 5
Tadahiro Taniguchi
Frontiers in Robotics and AI (2024) Vol. 11
Open Access | Times Cited: 5
Active Inference Tree Search in Large POMDPs
Domenico Maisto, Francesco Gregoretti, Karl Friston, et al.
Neurocomputing (2025), pp. 129319-129319
Open Access
Domenico Maisto, Francesco Gregoretti, Karl Friston, et al.
Neurocomputing (2025), pp. 129319-129319
Open Access
Dynamic planning in hierarchical active inference
Matteo Priorelli, Ivilin Stoianov
Neural Networks (2025) Vol. 185, pp. 107075-107075
Open Access
Matteo Priorelli, Ivilin Stoianov
Neural Networks (2025) Vol. 185, pp. 107075-107075
Open Access
Deep kinematic inference affords efficient and scalable control of bodily movements
Matteo Priorelli, Giovanni Pezzulo, Ivilin Stoianov
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 51
Open Access | Times Cited: 12
Matteo Priorelli, Giovanni Pezzulo, Ivilin Stoianov
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 51
Open Access | Times Cited: 12
Learning team-based navigation: a review of deep reinforcement learning techniques for multi-agent pathfinding
Jaehoon Chung, Jamil Fayyad, Younes Al Younes, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 3
Jaehoon Chung, Jamil Fayyad, Younes Al Younes, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 3
Interactive Inference: A Multi-Agent Model of Cooperative Joint Actions
Domenico Maisto, Francesco Donnarumma, Giovanni Pezzulo
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 54, Iss. 2, pp. 704-715
Open Access | Times Cited: 10
Domenico Maisto, Francesco Donnarumma, Giovanni Pezzulo
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 54, Iss. 2, pp. 704-715
Open Access | Times Cited: 10
Real- Time Failure/Anomaly Prediction for Robot Motion Learning Based on Model Uncertainty Prediction
Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto
2022 IEEE/SICE International Symposium on System Integration (SII) (2024), pp. 376-381
Closed Access | Times Cited: 3
Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto
2022 IEEE/SICE International Symposium on System Integration (SII) (2024), pp. 376-381
Closed Access | Times Cited: 3
Embodied AI for dexterity-capable construction Robots: DEXBOT framework
Hengxu You, Tianyu Zhou, Qi Zhu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102572-102572
Closed Access | Times Cited: 3
Hengxu You, Tianyu Zhou, Qi Zhu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102572-102572
Closed Access | Times Cited: 3
Generating Meaning: Active Inference and the Scope and Limits of Passive AI
Giovanni Pezzulo, Thomas Parr, Paul Cisek, et al.
(2023)
Open Access | Times Cited: 8
Giovanni Pezzulo, Thomas Parr, Paul Cisek, et al.
(2023)
Open Access | Times Cited: 8
Active Vision in Binocular Depth Estimation: A Top-Down Perspective
Matteo Priorelli, Giovanni Pezzulo, Ivilin Stoianov
Biomimetics (2023) Vol. 8, Iss. 5, pp. 445-445
Open Access | Times Cited: 7
Matteo Priorelli, Giovanni Pezzulo, Ivilin Stoianov
Biomimetics (2023) Vol. 8, Iss. 5, pp. 445-445
Open Access | Times Cited: 7
Correspondence Learning between Morphologically Different Robots Via Task Demonstrations
Hakan Aktas, Yukie Nagai, Minoru Asada, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 5, pp. 4463-4470
Open Access | Times Cited: 2
Hakan Aktas, Yukie Nagai, Minoru Asada, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 5, pp. 4463-4470
Open Access | Times Cited: 2
Invariant representations in abstract concept grounding – the physical world in grounded cognition
Jannis Friedrich, Martin H. Fischer, Markus Raab
Psychonomic Bulletin & Review (2024)
Open Access | Times Cited: 2
Jannis Friedrich, Martin H. Fischer, Markus Raab
Psychonomic Bulletin & Review (2024)
Open Access | Times Cited: 2
Modeling Motor Control in Continuous Time Active Inference: A Survey
Matteo Priorelli, Federico Maggiore, Antonella Maselli, et al.
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 16, Iss. 2, pp. 485-500
Open Access | Times Cited: 6
Matteo Priorelli, Federico Maggiore, Antonella Maselli, et al.
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 16, Iss. 2, pp. 485-500
Open Access | Times Cited: 6
Collective Predictive Coding Hypothesis: Symbol Emergence as Decentralized Bayesian Inference
Tadahiro Taniguchi
(2023)
Open Access | Times Cited: 4
Tadahiro Taniguchi
(2023)
Open Access | Times Cited: 4
Enhancing Robotic Perception through Synchronized Simulation and Physical Common-Sense Reasoning
Guillermo Trinidad Barnech, Gonzalo Tejera, Juan C. Valle-Lisboa, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2249-2249
Open Access | Times Cited: 1
Guillermo Trinidad Barnech, Gonzalo Tejera, Juan C. Valle-Lisboa, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2249-2249
Open Access | Times Cited: 1
Invariant Representations in Abstract Concept Grounding - The Physical World in Grounded Cognition
Jannis Friedrich, Martin H. Fischer, Markus Raab
(2024)
Open Access | Times Cited: 1
Jannis Friedrich, Martin H. Fischer, Markus Raab
(2024)
Open Access | Times Cited: 1
Implementation of Engagement Detection for Human–Robot Interaction in Complex Environments
Sin-Ru Lu, Jia-Hsun Lo, Yi-Tian Hong, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3311-3311
Open Access | Times Cited: 1
Sin-Ru Lu, Jia-Hsun Lo, Yi-Tian Hong, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3311-3311
Open Access | Times Cited: 1
Addressing ethical challenges in automated vehicles: bridging the gap with hybrid AI and augmented utilitarianism
Chloe Gros, Leon Kester, Marieke Martens, et al.
AI and Ethics (2024)
Open Access | Times Cited: 1
Chloe Gros, Leon Kester, Marieke Martens, et al.
AI and Ethics (2024)
Open Access | Times Cited: 1
A hierarchical active inference model of spatial alternation tasks and the hippocampal-prefrontal circuit
Toon Van de Maele, Bart Dhoedt, Tim Verbelen, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Toon Van de Maele, Bart Dhoedt, Tim Verbelen, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Dual Process Theory for Large Language Models: An overview of using Psychology to address hallucination and reliability issues
Samuel C. Bellini-Leite
Adaptive Behavior (2023) Vol. 32, Iss. 4, pp. 329-343
Closed Access | Times Cited: 4
Samuel C. Bellini-Leite
Adaptive Behavior (2023) Vol. 32, Iss. 4, pp. 329-343
Closed Access | Times Cited: 4
Robotic world models—conceptualization, review, and engineering best practices
Ryo Sakagami, Florian Lay, Andreas Dömel, et al.
Frontiers in Robotics and AI (2023) Vol. 10
Open Access | Times Cited: 2
Ryo Sakagami, Florian Lay, Andreas Dömel, et al.
Frontiers in Robotics and AI (2023) Vol. 10
Open Access | Times Cited: 2
Dynamical Perception-Action Loop Formation with Developmental Embodiment for Hierarchical Active Inference
Kanako Esaki, Tadayuki Matsumura, Shunsuke Minusa, et al.
Communications in computer and information science (2023), pp. 14-28
Closed Access | Times Cited: 2
Kanako Esaki, Tadayuki Matsumura, Shunsuke Minusa, et al.
Communications in computer and information science (2023), pp. 14-28
Closed Access | Times Cited: 2
The Way Forward for Grounded Cognition - Invariant Representations in Abstract Concept Grounding
Jannis Friedrich, Martin H. Fischer, Markus Raab
(2024)
Open Access
Jannis Friedrich, Martin H. Fischer, Markus Raab
(2024)
Open Access