Location: RI, CMU
Deep neural networks are commonly used for object detection and classification. In this work, we explore if we can enable networks to learn physical intuition for predicting stability of a Jenga tower on removal of individual tower blocks. A Mask-RCNN + Inception-V4 based pipeline was created for this purpose.
Links : Presentation / Code : GitHub / Skills : Python, PyTorch, TensorFlow, MuJoCo