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:

Force, Impedance, and Trajectory Learning for Contact Tooling and Haptic Identification
Yanan Li, Gowrishankar Ganesh, Nathanaël Jarrassé, et al.
IEEE Transactions on Robotics (2018) Vol. 34, Iss. 5, pp. 1170-1182
Open Access | Times Cited: 134

Showing 26-50 of 134 citing articles:

An augmented reality-assisted interaction approach using deep reinforcement learning and cloud-edge orchestration for user-friendly robot teaching
Changchun Liu, Dunbing Tang, Haihua Zhu, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102638-102638
Closed Access | Times Cited: 9

Learning the Correct Robot Trajectory in Real-Time from Physical Human Interactions
Dylan P. Losey, Marcia K. O’Malley
ACM Transactions on Human-Robot Interaction (2019) Vol. 9, Iss. 1, pp. 1-19
Open Access | Times Cited: 29

Encoding Multiple Sensor Data for Robotic Learning Skills From Multimodal Demonstration
Chao Zeng, Chenguang Yang, Junpei Zhong, et al.
IEEE Access (2019) Vol. 7, pp. 145604-145613
Open Access | Times Cited: 26

Learning compliant robotic movements based on biomimetic motor adaptation
Chao Zeng, Xiongjun Chen, Ning Wang, et al.
Robotics and Autonomous Systems (2020) Vol. 135, pp. 103668-103668
Closed Access | Times Cited: 25

STMI: Stiffness Estimation Method Based on sEMG-Driven Model for Elbow Joint
Cheng Shen, Zhongcai Pei, Weihai Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 8

Study on force control for robot massage with a model-based reinforcement learning algorithm
Meng Xiao, Tie Zhang, Yanbiao Zou, et al.
Intelligent Service Robotics (2023) Vol. 16, Iss. 4, pp. 509-519
Closed Access | Times Cited: 8

A constraint-based programming approach for robotic assembly skills implementation
Matteo Parigi Polverini, Andrea Maria Zanchettin, Paolo Rocco
Robotics and Computer-Integrated Manufacturing (2019) Vol. 59, pp. 69-81
Open Access | Times Cited: 24

Optimized Interaction Control for Robot Manipulator Interacting With Flexible Environment
Xing Liu, Shuzhi Sam Ge, Fei Zhao, et al.
IEEE/ASME Transactions on Mechatronics (2020) Vol. 26, Iss. 6, pp. 2888-2898
Open Access | Times Cited: 23

Multi-hierarchy interaction control of a redundant robot using impedance learning
Yiming Jiang, Chenguang Yang, Yaonan Wang, et al.
Mechatronics (2020) Vol. 67, pp. 102348-102348
Open Access | Times Cited: 22

Multi-Objective Synchronization Control for Dual-Robot Interactive Cooperation Using Nonlinear Model Predictive Policy
Yuhao Zhang, Xingwei Zhao, Bo Tao, et al.
IEEE Transactions on Industrial Electronics (2022) Vol. 70, Iss. 1, pp. 582-593
Closed Access | Times Cited: 14

Dynamic Skill Learning From Human Demonstration Based on the Human Arm Stiffness Estimation Model and Riemannian DMP
Zhiwei Liao, Gedong Jiang, Fei Zhao, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 28, Iss. 2, pp. 1149-1160
Closed Access | Times Cited: 13

Choosing Stiffness and Damping for Optimal Impedance Planning
Mathew Jose Pollayil, Franco Angelini, Guiyang Xin, et al.
IEEE Transactions on Robotics (2022) Vol. 39, Iss. 2, pp. 1281-1300
Open Access | Times Cited: 13

Model predictive impedance control with Gaussian processes for human and environment interaction
Kevin Haninger, Christian Hegeler, Luka Peternel
Robotics and Autonomous Systems (2023) Vol. 165, pp. 104431-104431
Open Access | Times Cited: 7

Human–Exoskeleton Interaction Force Estimation in Indego Exoskeleton
Mohammad Shushtari, Arash Arami
Robotics (2023) Vol. 12, Iss. 3, pp. 66-66
Open Access | Times Cited: 7

Force Adaptation in Contact Tasks with Dynamical Systems
Walid Amanhoud, Mahdi Khoramshahi, Maxime Bonnesoeur, et al.
(2020), pp. 6841-6847
Open Access | Times Cited: 20

Robust High-Transparency Haptic Exploration for Dexterous Telemanipulation
Keyhan Kouhkiloui Babarahmati, Carlo Tiseo, Quentin Rouxel, et al.
(2021), pp. 10146-10152
Open Access | Times Cited: 16

Spatial Repetitive Impedance Learning Control for Robot-Assisted Rehabilitation
Jiantao Yang, Tairen Sun, Long Cheng, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 28, Iss. 3, pp. 1280-1290
Closed Access | Times Cited: 12

Adaptive fuzzy observer and control in servo drivers for two-axis drilling machine
Feng‐Chieh Lin, Chin‐Sheng Chen, Chia-Jen Lin
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 5-6, pp. 3105-3122
Closed Access | Times Cited: 2

Robotic grinding and polishing of complex aeroengine blades based on new device design and variable impedance control
Xiangfei Li, Huan Zhao, Haoyuan Zhou, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 92, pp. 102875-102875
Closed Access | Times Cited: 2

Unified Method for Task-Space Motion/Force/Impedance Control of Manipulator With Unknown Contact Reaction Strategy
Yinjie Lin, Zheng Chen, Bin Yao
IEEE Robotics and Automation Letters (2021) Vol. 7, Iss. 2, pp. 1478-1485
Closed Access | Times Cited: 15

Intelligent learning model-based skill learning and strategy optimization in robot grinding and polishing
Chen Chen, Yu Wang, Zhitao Gao, et al.
Science China Technological Sciences (2022) Vol. 65, Iss. 9, pp. 1957-1974
Closed Access | Times Cited: 10

A novel regional force control strategy based on seven-axis linkage grinding system to improve blade machining accuracy
Yilin Mu, Ziling Wang, Lai Zou, et al.
Journal of Manufacturing Processes (2023) Vol. 97, pp. 235-247
Closed Access | Times Cited: 6

Iterative assist-as-needed control with interaction factor for rehabilitation robots
Ran Cao, Long Cheng, Chenguang Yang, et al.
Science China Technological Sciences (2021) Vol. 64, Iss. 4, pp. 836-846
Closed Access | Times Cited: 13

Force tracking smooth adaptive admittance control in unknown environment
Chengguo Liu, Zeyu Li
Robotica (2023) Vol. 41, Iss. 7, pp. 1991-2011
Closed Access | Times Cited: 5

Human–Robot Collaboration Framework Based on Impedance Control in Robotic Assembly
Xingwei Zhao, Yiming Chen, Qian Lü, et al.
Engineering (2023) Vol. 30, pp. 83-92
Open Access | Times Cited: 5

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