Most recent posts first. Click any title to read.
Imitation learning training data and reinforcement learning data are not the same thing. Most robotics teams discover this the hard way when they try to
Teleop operator quality is the most overlooked variable in robot training data programs. You can control hardware, environment, and task design. Operator fatigue is the
Choosing between VR teleoperation and physical demonstration for robot training data is one of the first decisions every robotics team faces. Both work. They do
The robot data collection cost of building an in-house program is almost always higher than the initial estimate. Most teams undercount by 3 to 5x.
How much humanoid robot training data do you actually need? The honest answer depends on three things: your deployment tier, your model architecture, and what
Scaling teleop data collection is one of the hardest operational problems in robotics. The volume grows quickly. The quality does not always follow. The teleop
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