OpenAlex Citation Counts

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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:

Task-Oriented Motion Mapping on Robots of Various Configuration Using Body Role Division
Kazuhiro Sasabuchi, Naoki Wake, Katsushi Ikeuchi
IEEE Robotics and Automation Letters (2020) Vol. 6, Iss. 2, pp. 413-420
Open Access | Times Cited: 19

Showing 19 citing articles:

ChatGPT Empowered Long-Step Robot Control in Various Environments: A Case Application
Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, et al.
IEEE Access (2023) Vol. 11, pp. 95060-95078
Open Access | Times Cited: 47

A Learning-from-Observation Framework: One-Shot Robot Teaching for Grasp-Manipulation-Release Household Operations
Naoki Wake, Riku Arakawa, Iori Yanokura, et al.
2022 IEEE/SICE International Symposium on System Integration (SII) (2021), pp. 461-466
Open Access | Times Cited: 26

Multisensory Fusion, Haptic, and Visual Feedback Teleoperation System Under IoT Framework
Meng Chu, Ziang Cui, Ailing Zhang, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 20, pp. 19717-19727
Closed Access | Times Cited: 17

Semantic constraints to represent common sense required in household actions for multimodal learning-from-observation robot
Katsushi Ikeuchi, Naoki Wake, Kazuhiro Sasabuchi, et al.
The International Journal of Robotics Research (2023) Vol. 43, Iss. 2, pp. 134-170
Open Access | Times Cited: 7

Task-grasping from a demonstrated human strategy
Daichi Saito, Kazuhiro Sasabuchi, Naoki Wake, et al.
2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids) (2022) Vol. 17, pp. 880-887
Closed Access | Times Cited: 8

Research on LFD System of Humanoid Dual-Arm Robot
Ze Cui, Lang Kou, Zenghao Chen, et al.
Symmetry (2024) Vol. 16, Iss. 4, pp. 396-396
Open Access | Times Cited: 1

A2G: Leveraging Intuitive Physics for Force-Efficient Robotic Grasping
Yaofeng Cheng, Shengkai Liu, Fusheng Zha, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 7, pp. 6376-6383
Closed Access | Times Cited: 1

A Multimodal Learning-from-Observation Towards All-at-once Robot Teaching using Task Cohesion
Iori Yanaokura, Naoki Wake, Kazuhiro Sasabuchi, et al.
2022 IEEE/SICE International Symposium on System Integration (SII) (2022), pp. 367-374
Closed Access | Times Cited: 7

Verbal Focus-of-Attention System for Learning-from-Observation
Naoki Wake, Iori Yanokura, Kazuhiro Sasabuchi, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 6

A Skill Programming Method Based on Assembly Motion Primitive for Modular Assembly System
Pengyue Guo, Zhijing Zhang, Yan Liu, et al.
IEEE Access (2021) Vol. 9, pp. 101369-101380
Open Access | Times Cited: 6

Text-driven object affordance for guiding grasp-type recognition in multimodal robot teaching
Naoki Wake, Daichi Saito, Kazuhiro Sasabuchi, et al.
Machine Vision and Applications (2023) Vol. 34, Iss. 4
Open Access | Times Cited: 2

A real-time explicit mapping and teleoperation control method for humanoid robots with posture constraints
Shengjie Li, Jin Wang, Haiyun Zhang, et al.
Mechatronics (2022) Vol. 90, pp. 102937-102937
Closed Access | Times Cited: 4

Object affordance as a guide for grasp-type recognition.
Naoki Wake, Daichi Saito, Kazuhiro Sasabuchi, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 5

Verbal Focus-of-Attention System for Learning-from-Observation
Naoki Wake, Iori Yanokura, Kazuhiro Sasabuchi, et al.
(2021), pp. 10377-10384
Open Access | Times Cited: 5

Applying learning-from-observation to household service robots: three task common-sense formulations
Katsushi Ikeuchi, Jun Takamatsu, Kazuhiro Sasabuchi, et al.
Frontiers in Computer Science (2024) Vol. 6
Open Access

Interactive Task Encoding System for Learning-from-Observation
Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, et al.
2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) (2023), pp. 1061-1066
Open Access | Times Cited: 1

Research on Target Trajectory Planning Method of Humanoid Manipulators Based on Reinforcement Learning
Keyao Liang, Fusheng Zha, Wentao Sheng, et al.
Lecture notes in computer science (2023), pp. 452-463
Closed Access | Times Cited: 1

Understanding Action Sequences based on Video Captioning for Learning-from-Observation
Iori Yanokura, Naoki Wake, Kazuhiro Sasabuchi, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 2

Hierarchical Reinforcement Learning Considering Stochastic Wind Disturbance for Power Line Maintenance Robot
Xiaoliang Zheng, Gongping Wu
Research Square (Research Square) (2021)
Closed Access

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