gm gm,
I've gone through a few robot training sessions via TelOps, and I've noticed a common point, which most people will likely agree with. If not, please leave your feedback below 🤓
🧠 TeleOps Training 101: Common Pitfalls When Teaching Robots in the Real World
Tele-operation (TeleOps) is one of the most powerful ways to train robots today. It lets humans demonstrate real-world tasks directly, turning everyday actions into valuable training data.
But TeleOps comes with its own challenges.
1. Latency: When the Robot Feels “Out of Sync”
What happens: My actions feel delayed. The robot responds a beat too late.
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2. Jerky Movements = Confused Robots
What happens: The robot’s arms shake, overshoot, or move unnaturally.
Why it matters: Robots learn how you move, not just what you do.
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3. Camera Perspective Problems
What happens: The robot keeps bumping into objects or misjudging distance.
Why it matters: If you can’t see clearly, neither can the model later.
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4. Operator Fatigue Is Real
What happens: The long waiting time to use the training leads to a loss of inspiration.
Those are some of the thoughts I've had, but I still believe that robot training and model development are the future trends, and
@PrismaXai is pioneering them ✨.