OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics
While our method can show zero-shot generalization in
completely new environments, we probe OK-Robot to better
understand when and how it succeeds and fails.
While we find a 58.5% success rate at completely novel homes, at a closer look, we
also notice a long tail of failure causes, which is presented in the figure above.
We see that the leading three cause of failures are failing
to retrieve the right object to navigate to from the semantic
memory (9.3%), getting a difficult pose from the manip...
Read more at ok-robot.github.io