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-nips-2017-learning-to-run

Reinforcement learning environments with musculoskeletal models

acado

ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.

adafruit_tcs34725

Driver for Adafruit's TCS34725 RGB Color Sensor Breakout

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adversarial_video_generation

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

aim

ali

Adversarially Learned Inference

arduino-irremote

Infrared remote library for Arduino: send and receive infrared signals with multiple protocols

art-dcgan

Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.

autonomous-flight-ros

A simple autopilot for a quadrotor realized using MoveIt!. The system use a simulated RGBD sensor to reconstruct the map, then ompl for path generation.

autoware

Open-Source To Self-Driving.

autoware_msgs

base_moveit_controller_manager

bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

bbrito.github.io

bc-regularized-gail

Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorch

bdebrito.io

blockchain

A simple Blockchain in Python

cadrl_ros

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

cob_command_tools

cob_common

The cob_common stack hosts common packages that are used within the Care-O-bot repository. E.g. utility packages or common message and service definitions etc. Also the urdf desciption of the robot is located in this stack.

cob_control

The cob_control stack includes packages that are used to do low level control tasks with Care-O-bot hardware over ROS.

cob_driver

The cob_driver stack includes packages that provide access to the Care-O-bot hardware over ROS messages and services. E.g. for mobile base, arm, camera_sensors, scanners, etc...

cob_environments

cob_manipulation

cob_matlab

cob_object_perception

cob_robots

cob_simulation

The cob_simulation stack includes packages to work with Care-O-bot within simulation environments, e.g. gazebo.