Rohan P. Singh's repositories
LearningHumanoidWalking
Training a humanoid robot for locomotion using Reinforcement Learning
mujoco-python-viewer
Simple renderer for use with MuJoCo (>=2.1.2) Python Bindings.
RapidPoseLabels
[ICRA2021] Code for "Rapid Pose Label Generation through Sparse Representation of Unknown Objects"
ObjectKeypointTrainer
[SII2020] Training and validation code for keypoint detection using Stacked-Hourglass networks
grasp-fsm-sample-controller
mc-rtc FSM controller to demonstrate biped walking and object grasping
legged_gym
Isaac Gym Environments for Legged Robots
jvrc_mj_description
JVRC model files for MuJoCo
mc_reacher_policy
mc-rtc controller for 3D reacher task using learned (RL) policy.
aliengo_mj_description
Aliengo robot model files for MuJoCo
awesome-robot-descriptions
A curated list of awesome robot descriptions
dm_control
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
hrpsys-base
Basic RT components and utilities to control robots using OpenRTM
jrl-umi3218.github.com
JRL webpage
mc-rtc-superbuild
Build mc-rtc and mc-rtc related projects with a super project
mc_aliengo
mc-rtc Robot Module package for the Unitree Aliengo robot.
mc_openrtm
Interface between OpenRTM and mc_rtc
mc_rtc_msgs
ROS messages for mc_rtc
MoCapAct
A Multi-Task Dataset for Simulated Humanoid Control
mujoco
Multi-Joint dynamics with Contact. A general purpose physics simulator.
mujoco-py
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
rohanpsingh.github.io
Github Pages personal website
ros_ml_controller
ROS node for inference on trained RL policy
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.