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Machine-Learning-Enabled Hydrogel Biosensors for Wearable Health Monitoring. [PDF]
Zhang Z.
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Central pulsatile haemodynamics in COPD: a propensity score-matched evaluation of cohorts. [PDF]
Urban MH +11 more
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Untethered thin-film neurostimulator wrapped around tiny nerve trunks for wireless neuromodulation. [PDF]
Sun R +18 more
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Hybrid meta heuristic and fuzzy impedance method for fast fault location in power system lines. [PDF]
Najafzadeh M +4 more
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Predicting Transmural Lesion Formation and Steam-Pop Occurrence During Bipolar Ablation-Ex Vivo Porcine Model. [PDF]
Makimoto H +12 more
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Learning variable impedance control
The International Journal of Robotics Research, 2011One of the hallmarks of the performance, versatility, and robustness of biological motor control is the ability to adapt the impedance of the overall biomechanical system to different task requirements and stochastic disturbances. A transfer of this principle to robotics is desirable, for instance to enable robots to work robustly ...
Buchli, J. +3 more
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User-controlled variable impedance teleoperation
2010 IEEE International Conference on Robotics and Automation, 2010Telerobotics fundamentally aims to project human skills into a remote, unstructured environment. A key component of human skills is anticipatory modulation of limb impedances in accordance with task requirements and in expectation of events or disturbances.
Daniel S. Walker +2 more
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Stability Considerations for Variable Impedance Control
IEEE Transactions on Robotics, 2016Impedance control is a commonly used control architecture for robotic manipulation. For increased flexibility, the impedance can be programmed to vary during the task. This has important implications on the stability properties of the control system, which are often overlooked in practice.
Klas Kronander, Aude Billard
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