Extracting such trends, however, is not straightforward.
Different teams got comparable results by following almost
orthogonal approaches, sometimes stretching the limits of one
technology as seen in Table III. Moreover, available data on
successful grasps, i.e., removing a specific item from the
bin and delivering it to a tote, is sparse, likely due to the
numerous idiosyncratic ways that complex robotic systems can
break down during a single evaluation trial outside of a lab
environment. Still, it is possible to make some observations
about the strengths and weaknesses of individual approaches,
including both mechanisms and algorithms, and how they
should be combined to improve the generality of solutions.
We can also draw some conclusions about the process. For
instance: