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Core tools for the HSR
AUTOLab perception toolkit
FLUIDS is a lightweight driving simulator for benchmarking Deep Reinforcement and Imitation learning algorithms.
Python modules for GQ-CNN training and deployment, with ROS integration
A set of Python utilities for rendering 3D meshes with OpenGL
Web assets for Dex-Net as as Service (DNaas) front-end.
A GUI for Dex-Net based on ROS and PyQt4
Core utilities for Berkeley AutoLab.
Visualization tools for the autolab
OpenAI Gym interface to the FLUIDS simulator
Python control interface for interacting with the ABB YuMi Robot
A set of useful internal manuals for things like using lab machines, setting up user accounts, and git workflows.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Python binding of FCL library
Repository for reading the Dex-Net 2.0 HDF5 database of 3D objects, parallel-jaw grasps, and robust grasp metrics
A 3-D triangular mesh package for Python.
Imitation Learning Code for The FLUIDS Simulator
Malasakit is a customizable participatory assessment platform that collects and integrates quantitative assessment, qualitative feedback, and peer-to-peer collaborative filtering on ways local communities can become better prepared for typhoons and floods.
Code for registering and tracking objects in 6-dof space
Python library for loading and using triangular meshes.
generate YuMi optimal manipulation via simulation in ROS for learning 3D motion and collision avoidance
Gough-stewart platform developed for replicating anatomical surgical environments for the da Vinci surgical robot.