Dynamic trajectory-tracking control method of robotic transcranial magnetic stimulation with end-effector gravity compensation based on force sensors

Research article (Industrial Robot the international journal of robotics research and application, 2018) · cited 10× · AI/ML
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Dynamic trajectory-tracking control method of robotic transcranial magnetic stimulation with end-effector gravity compensation based on force sensors

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Dynamic trajectory-tracking control method of robotic transcranial magnetic stimulation with end-effector gravity compensation based on force sensors is a scholarly article[1].

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  • Dynamic trajectory-tracking control method of robotic transcranial magnetic stimulation with end-effector gravity compensation based on force sensors's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Dynamic trajectory-tracking control method of robotic transcranial magnetic stimulation with end-effector gravity compensation based on force sensors. Retrieved May 24, 2026, from https://4ort.xyz/entity/dynamic-trajectory-tracking-control-method-of-robotic-transcranial-magnetic-stimulation-with-end-effector-gravity-compen
MLA “Dynamic trajectory-tracking control method of robotic transcranial magnetic stimulation with end-effector gravity compensation based on force sensors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dynamic-trajectory-tracking-control-method-of-robotic-transcranial-magnetic-stimulation-with-end-effector-gravity-compen.
BibTeX @misc{4ortxyz_dynamic-trajectory-tracking-control-method-of-robotic-transcranial-magnetic-stimulation-with-end-effector-gravity-compen_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dynamic trajectory-tracking control method of robotic transcranial magnetic stimulation with end-effector gravity compensation based on force sensors}}, year = {2026}, url = {https://4ort.xyz/entity/dynamic-trajectory-tracking-control-method-of-robotic-transcranial-magnetic-stimulation-with-end-effector-gravity-compen}, note = {Accessed: 2026-05-24}}
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