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These technologies utilise manually-placed limb actuators that apply vibrational energy to affect fruit release.
Brain computer interfaces (BCIs) record neural signals from cortical origin with the objective to control a user interface for communication purposes, a robotic artifact or artificial limb as actuator.
To address this issue, this paper uses a strain energy method considering the compliances of the mobile platform, the limb and the actuator of a PTPM.
Interestingly, one of the reasons that body-powered, cable-actuated, prosthetic limbs continue to see widespread use is that the wearer can sense the movement of the limb through the actuator cables (Stark and LeBlanc, 2004).
In particular, if one limb is multi-actuated, decomposition to hybrid connection would rearrange its actuators.
In this paper, based on the concept of the matrix (or vector group) orthogonal degree, a series of transmission indices are proposed, in terms of the mathematical description, definition and calculation for the fully parallel manipulator, which is considered as the non-redundant parallel manipulator with one actuator in each limb.
In type synthesis stage, we focus on the total numbers and assembly locations of the actuators in a limb.
Brain machine interfaces (BMIs) are devices that convert neural signals into commands to directly control artificial actuators, such as limb prostheses.
Without loss of generality, each limb can possess more than one actuator.
The UHP is a Pantograph based innovative robot actuated by two SEAs (Series Elastic Actuator), aiming at training impaired upper limbs after a stroke.
Eq. (2) is the number-synthesis equation of actuations, where (q_{i} = 0) indicates the limb is passive (i.e., without actuators).
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