Why are models trained on RLBench data generally suited for Keyframe Position Prediction?

[fengxiuyaun]

Here are three prediction methods:

1. Initial Frame Grasp Prediction:

   • This method predicts the grasp point of the target object by analyzing the initial frame.

2. Keyframe Position Prediction:

   • This approach involves predicting the next keyframe position by inputting a series of keyframes, suitable for tasks that require consideration of intermediate state changes.

3. Frame-by-Frame Action Prediction:

   • In this method, each frame is inputted, and the next position is outputted, making it ideal for tasks that require continuous monitoring and real-time decision-making.

Why are models trained on RLBench data generally suited for Keyframe Position Prediction?