Movement generation in robotics is a well know problem with many excellent 
solutions. Most of them, however, look for optimal solutions
according to some metrics, but have no biological inspiration. From a
human perspective these techniques behave in a non-naturalistic way.
This poses a problem for human-robot interaction and, in general, for
a good acceptance of robots in society. The present work presents a
new analysis of the attractor dynamics approach to movement generation
used in an anthropomorphic robot arm. Our analysis points to the
possibility of using this approach to generate human-like arm
trajectories in robots. We compare the theoretical results with the
experimental data taken from human reaching trajectories. The key
property of trajectories generated by humans is the planarity, which,
according to our analysis’ results, could be reproduced with the
attractor dynamics approach.