| layout | title | date | published |
|---|---|---|---|
project |
Grasp Collision detection using Convolutional Neural Networks |
2017-12-05 |
false |
- Developed a CNN model to detect collisions btw robot and environment using PointClouds and JointState.
- Model classifies collisions with an accuracy of 84.7% and is ~30% faster than FCL.