Adding positional encoding to MLP inputs for robot self-collision detection improves accuracy by capturing high-frequency position variations better than standard inputs.
Efficient probabilistic collision detection for non-gaussian noise distributions.IEEE Robotics and Automation Letters, 5(2):1024–1031, 2020
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Improving Machine Learning-Based Robot Self-Collision Checking with Input Positional Encoding
Adding positional encoding to MLP inputs for robot self-collision detection improves accuracy by capturing high-frequency position variations better than standard inputs.