Results 241 to 250 of about 150,939 (296)

Lower limb muscle activation and biomechanics during single-leg hopping in different directions. [PDF]

open access: yesFront Sports Act Living
Gu Y   +6 more
europepmc   +1 more source

Biomechanical comparison of pin and freeride ski mountaineering bindings in recreational skiers. [PDF]

open access: yesFront Sports Act Living
Burgess I   +4 more
europepmc   +1 more source

Effects of forward shoulder elevation on spinal excursion at three different speeds. [PDF]

open access: yesSci Rep
Hengsomboon P   +4 more
europepmc   +1 more source

GaitDynamics: a generative foundation model for analyzing human walking and running. [PDF]

open access: yesNat Biomed Eng
Tan T   +6 more
europepmc   +1 more source

Human-Inspired Holistic Control for Mobile Humanoid Robots. [PDF]

open access: yesBiomimetics (Basel)
Wang Z, Ren X, Tang H, Jin H, Zhao J.
europepmc   +1 more source

Forward Kinematics of Casing Oscillator

IEEE/ASME Transactions on Mechatronics, 2006
This paper presents the forward kinematics of the casing oscillator, which is a heavy construction machine. This machine has a four-degrees-of-freedom (DoF) parallel mechanism with one redundancy. By using the geometric approach, the forward position kinematics for the casing oscillator is derived as a fourth-order polynomial equation in square form of
Y.-J. Nam, M.-K. Park
exaly   +2 more sources

Forward Kinematic Analysis of Kinematically Redundant Hybrid Parallel Robots

Journal of Mechanisms and Robotics, 2020
Abstract This paper focuses on the forward kinematic analysis of (6 + 3)-degree-of-freedom kinematically redundant hybrid parallel robots. Because all of the singularities are avoidable, the robot can cover a very large orientational workspace.
Kefei Wen, Clément M. Gosselin
openaire   +1 more source

Full forward kinematics of redundant kinematic hybrid manipulator

Applied Mathematical Modelling, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yi Lu, Zhuohong Dai, Peng Wang
openaire   +1 more source

Inverse kinematics solution using neural networks from forward kinematics equations

2017 9th International Conference on Knowledge and Smart Technology (KST), 2017
This paper presents the inverse kinematics solution using the neural network for a robotic arm in 3-dimension. This paper creates neural networks to represent x, y and z position of the end-effector in the forward kinematics equations. The structure of the network has 4 layers; input layer, 2 hidden layers, and output layer. The input and output layers
Pannawit Srisuk   +2 more
openaire   +1 more source

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