Robotics Toolbox for Python. Synopsis This toolbox brings robotics-specific functionality to Python, and leveragesPython’s advantages of portability, ubiquity and support, and the capability ofthe open-source ecosystem for linear algebra (numpy, scipy), graphics(matplotlib, three.js, WebGL), interactive development (jupyter, jupyterlab,mybinder.org), and documentation (sphinx). The Toolbox provides tools for representing the kinematics and dynamics ofserial-link manipulators – you can easily create your own in Denavit-Hartenbergform, import a URDF file, or use over 30 supplied models for well-knowncontemporary robots from Franka-Emika, Kinova, Universal Robotics, […]

SnapMix SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021) PyTorch implementation of SnapMix | paper Cite @inproceedings{huang2021snapmix, title={SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data}, author={Shaoli Huang, Xinchao Wang, and Dacheng Tao}, year={2021}, booktitle={AAAI Conference on Artificial Intelligence}, } Setup Install Package Dependencies torch torchvision PyYAML easydict tqdm scikit-learn efficientnet_pytorch pandas opencv Datasets create a soft link to the dataset directory CUB dataset ln -s /your-path-to/CUB-dataset data/cub Car dataset ln -s /your-path-to/Car-dataset data/car Aircraft dataset ln -s /your-path-to/Aircraft-dataset […]

Ravens – Transporter Networks Ravens is a collection of simulated tasks in PyBullet for learning vision-based robotic manipulation, with emphasis on pick and place. It features a Gym-like API with 10 tabletop rearrangement tasks, each with (i) a scripted oracle that provides expert demonstrations (for imitation learning), and (ii) reward functions that provide partial credit (for reinforcement learning). (a) block-insertion: pick up the L-shaped red block and place it into the L-shaped fixture. (b) place-red-in-green: pick up the red blocks […]