 was just 0.8% suboptimal compared to the 11.8% or worse suboptimal rates found in the other methods. This work has the potential to advance team automation in robots, which would lead to improved performance in manufacturing, agriculture, and warehouse automation. To hear more science and engineering news, including the researchers making it, subscribe to NSF's Discovery Files podcast.