
A systematic integration study of OpenVLA and OpenVLA-OFT on the LIBERO manipulation benchmark, isolating eight bugs that silently drove success from 0% to 51.6% (base) and 99.2% (OFT) across 500 evaluation episodes.
Aug 27, 2026

Built and analyzed a convolutional neural network (CNN) for handwritten digit recognition using MNIST, then applied transfer learning to recognize Greek letters and conducted real-time video-based classification.
Apr 1, 2024