Adaptive variable impedance control for dynamic contact force tracking in uncertain environment
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- Robotics and Autonomous Systems
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doi.org/10.1016/j.robot.2018.01.009 →Countries where authors are citing Adaptive variable impedance control for dynamic contact force tracking in uncertain environment
This map shows the geographic impact of Adaptive variable impedance control for dynamic contact force tracking in uncertain environment. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Adaptive variable impedance control for dynamic contact force tracking in uncertain environment with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adaptive variable impedance control for dynamic contact force tracking in uncertain environment more than expected).
Fields of papers citing Adaptive variable impedance control for dynamic contact force tracking in uncertain environment
This network shows the impact of Adaptive variable impedance control for dynamic contact force tracking in uncertain environment. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Adaptive variable impedance control for dynamic contact force tracking in uncertain environment.
About Adaptive variable impedance control for dynamic contact force tracking in uncertain environment
This paper, published in 2018, received 289 indexed citations . Written by Jinjun Duan, Yahui Gan, Ming Chen and Xianzhong Dai covering the research area of Control and Systems Engineering, Mechanical Engineering and Biomedical Engineering. It is primarily cited by scholars working on Control and Systems Engineering (212 citations), Biomedical Engineering (197 citations), Mechanical Engineering (139 citations), Aerospace Engineering (15 citations) and Industrial and Manufacturing Engineering (14 citations). Published in Robotics and Autonomous Systems.
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This paper is also available at doi.org/10.1016/j.robot.2018.01.009.