VR Teleoperation vs. Physical Demonstration: Which Produces Better Training Data?
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 not work equally for every task. Two approaches to VR teleoperation and robot training by example Imitation learning requires demonstrations. The question every robotics team faces early is how to […]
Teleop Operator Fatigue: The Hidden Variable in Robot Data Quality
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 variable that quietly degrades all three. The teleop operator quality variable nobody puts in the collection spec Robot training data collection specs define task types, episode length, success criteria, and […]
How to Scale Teleop Data Collection Without Losing Quality
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 data collection quality cliff nobody warns you about Scaling teleoperation data collection sounds straightforward: hire more operators, run more sessions, collect more trajectories. In practice, most teams hit a quality […]