aditya-shirwatkar

aditya-shirwatkar's Stars

• KodlabPenn/kodlab_gazebo

  ROS package for the simulation of legged platforms using Gazebo

  Language:Python279

• RobotLocomotion/gym

  A toolkit for developing and comparing reinforcement learning algorithms.

  Language:Python125

• UMich-BipedLab/CLF_reactive_planning_system

  This package provides a CLF-based reactive planning system, described in paper: Efficient Anytime CLF Reactive Planning System for a Bipedal Robot on Undulating Terrain. The reactive planning system consists of a 5-Hz planning thread to guide a robot to a distant goal and a 300-Hz Control-Lyapunov-Function-based (CLF-based) reactive thread to cope with robot deviations. The planning system allowed Cassie Blue to autonomously traverse sinusoidally varying terrain. More experiments are still being conducted and this repo and the paper will be updated accordingly.

  Language:C++5412

• UMich-BipedLab/Cassie_Controller_AngularMomentum

  Language:C++4417

• machines-in-motion/kino_dynamic_opt

  Kino-dynamic optimization algorithm for multiped robots

  Language:Jupyter Notebook399

• osqp/osqp

  The Operator Splitting QP Solver

  Language:C1.7k356

• take2rohit/origami_2D_track

  This project was done as a part of internship under Prof. Hongliang Ren, NUS

  Language:Python31

• google/trajax

  Language:Python19521

• tesseract-robotics/trajopt

  Trajectory Optimization Motion Planner for ROS

  Language:C++384103

• StanfordASL/neural-network-lyapunov

  Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.

  Language:Python13829

• locuslab/robust-nn-control

  Enforcing robust control guarantees within neural network policies

  Language:Python5210

• locuslab/qpth

  A fast and differentiable QP solver for PyTorch.

  Language:Python674104

• google/brax

  Massively parallel rigidbody physics simulation on accelerator hardware.

  Language:Jupyter Notebook2.2k249

• AtsushiSakai/PyAdvancedControl

  Python codes for advanced control

  Language:Python493165

• bostoncleek/ergodic_exploration

  Robot agnostic information theoretic exploration strategy

  Language:C++356

• Nate711/QPDoggo

  Use QP and whole-body PID to control a 12DOF robot dog.

  Language:Jupyter Notebook3616

• YanranDing/RF-MPC

  Representation-Free Model Predictive Control for Dynamic Quadruped

  Language:MATLAB19048

• BerkeleyAutomation/rlqp

  Accelerating Quadratic Optimization with Reinforcement Learning

  8716

• bostoncleek/quadruped_control

  Quadruped control architecture

  Language:C++6716

• IvLabs/Sahayak-v3

  Language:C++612

• aayush-fadia/sandbox

  Language:Python7

• RajGhugare19/dreamerv2

  Pytorch implementation of Dreamer-v2: Visual Model Based RL Algorithm.

  Language:Python23840

• john-s-butler-dit/Numerical-Analysis-Python

  Python notebooks for Numerical Analysis

  Language:Jupyter Notebook13235

• ADVRHumanoids/casadi_kin_dyn

  Package for generation of symbolic (SX) expressions of robot kinematics and dynamics. Based on URDF and Pinocchio.

  Language:CMake8611

• mortennobel/cpp-cheatsheet

  Modern C++ Cheatsheet

  Language:C++3k701

• dherath/Snake_Robots

  [code] "Comparison of Serial and Parallel Snake Robots for Lateral Undulation Motion Using Gazebo" by J. Dinal Herath and K. Jayananda. In: IEEE International Conference on Information and Automation for Sustainability (ICIAfS) (2016)

  Language:Makefile92

• IvLabs/model-based-RL

  Language:Python11

• IvLabs/grid_motion_planning

  Language:Jinja181

• Space-Robotics-Laboratory/SpaceDyn

  The Spacedyn is a library for the kinematic and dynamic analysis and simulation of articulated multi-body systems with a moving base written as MATLAB toolbox or C++ library. Examples of such systems are a satellite with mechanical appendages, a free-flying space robot, a wheeled mobile robot, and a walking robot, all of which make motions in the environment with or without gravity.

  Language:C++3910

• RajGhugare19/VE-principle-for-model-based-RL

  Repository for ML Reproducibility Challenge 2020 for the Neurips paper, "The Value Equivalence Principle for Model-Based Reinforcement Learning"

  Language:Python173