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: