An Inverse Optimal Control Approach to Explain Human Arm Reaching Control Based on Multiple Internal Models

end effectors; human-robot interaction; learning by example; mobile robots; motion control; neurocontrollers; path planning; recurrent neural nets; transfer functions; hand movement interaction control; autonomous agent; control process; dyadic interaction; multicomponent robot motion; interaction behavior control skill; robotic agent; recurrent neural network-based framework; robot end effector; human movement behavior control; close-proximity human-robot interaction; human-human interaction; HRI; HHI; activation function; learning from demonstration framework; Recurrent neural networks; Task analysis; Manipulators; Computer architecture; Hidden Markov models; Convergence; Human-robot interaction; human-in-the-loop; learning from demonstration; recurrent neural networks     «

end effectors; human-robot interaction; learning by example; mobile robots; motion control; neurocontrollers; path planning; recurrent neural nets; transfer functions; hand movement interaction control; autonomous agent; control process; dyadic interaction; multicomponent robot motion; interaction behavior control skill; robotic agent; recurrent neural network-based framework; robot end effector; human movement behavior control; close-proximity human-robot interaction; human-human interaction; H...     »