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    • Reinforcement learning algorithms for robot control tasks
      Python
      1028133Updated Jul 25, 2024Jul 25, 2024
    • planet

      Public
      Deep Planning Network: Control from pixels by latent planning with learned dynamics
      Python
      Apache License 2.0
      203000Updated Jul 11, 2019Jul 11, 2019
    • homework

      Public
      Assignments for CS294-112.
      Python
      MIT License
      1k000Updated Jun 13, 2019Jun 13, 2019
    • ROS Simulation for OpenManipulator
      CMake
      Apache License 2.0
      20000Updated Mar 23, 2019Mar 23, 2019
    • OpenManipulator for controlling in Gazebo and Moveit with ROS
      C++
      Apache License 2.0
      150000Updated Mar 23, 2019Mar 23, 2019
    • Python
      0000Updated Mar 16, 2019Mar 16, 2019
    • examples

      Public
      Python
      2300Updated Feb 21, 2019Feb 21, 2019
    • C++
      0000Updated Feb 11, 2019Feb 11, 2019
    • This package contains the manipulation API and functions for controlling the manipulator.
      C++
      Apache License 2.0
      13000Updated Feb 11, 2019Feb 11, 2019
    • ROS Messages for OpenManipulator
      CMake
      Apache License 2.0
      11000Updated Feb 8, 2019Feb 8, 2019
    • ROS packages for Dynamixel controllers, msgs, single_manager, toolbox, tutorials
      C++
      Apache License 2.0
      177000Updated Feb 8, 2019Feb 8, 2019
    • awesome

      Public
      Curated list of awesome lists
      0200Updated Jan 24, 2019Jan 24, 2019
    • practice collaboration with a simple calculator example.
      Python
      1011Updated Jan 19, 2019Jan 19, 2019
    • Message package for dynamixel-workbench
      CMake
      Apache License 2.0
      37000Updated Jan 4, 2019Jan 4, 2019
    • ROBOTIS Dynamixel SDK (Protocol1.0/2.0)
      C#
      Apache License 2.0
      408000Updated Jan 4, 2019Jan 4, 2019
    • schedule

      Public
      Project boards for weekly meeting
      1410Updated Dec 25, 2018Dec 25, 2018
    • domrand

      Public
      Reproducing results of Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World https://arxiv.org/abs/1703.06907
      Python
      MIT License
      4000Updated Nov 29, 2018Nov 29, 2018
    • garage

      Public
      A framework for reproducible reinforcement learning research
      Python
      MIT License
      310000Updated Nov 27, 2018Nov 27, 2018
    • SenseAct

      Public
      SenseAct: A computational framework for developing real-world robot learning tasks
      Python
      BSD 3-Clause "New" or "Revised" License
      42000Updated Nov 19, 2018Nov 19, 2018
    • Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.
      Python
      821100Updated Nov 14, 2018Nov 14, 2018
    • Phantom OMNI facilitated haptics feedback and remote control of a Baxter or Sawyer research robot
      Python
      6000Updated Nov 14, 2017Nov 14, 2017
    • Implementation of some Domain Randomization tools within the ROS+Gazebo framework, following the work of Tobin et al. "Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real Worl" (https://arxiv.org/abs/1703.06907)
      Python
      12000Updated Oct 6, 2017Oct 6, 2017