Robots' Secret Sauce: The Unspoken Bottleneck in Robotics Development The robotics industry's holy grail of general purpose machines has long been hindered by a seemingly mundane yet critical issue: the lack of high quality training data.
While AI labs and researchers have made tremendous strides in developing sophisticated algorithms, the problem lies not in the code itself but in the absence of sufficient training data.
Startups like XDOF are bridging this gap with innovative approaches to collecting real world teleoperation data.