shbang91

rpc

Robot Planning and Control (rpc) is a software framework designed for generating task trajectories (planning) and tracking the trajectories (control) for legged systems.

draco3_description

URDF description of the Draco3 humanoid model

draco3_nodelet

ROS nodelet interface with DRACO3 Humanoid

PyPnC

Python Implementation of Planning and Control

algorithm_practice

Cheetah-Software

CS231n

cv_emulate

Academic CVs that you can emulate

dotfiles

Personal dotfiles for *NIX systems

srbd-mpc

Single Rigid Body Dynamics-based linear MPC for quadrupedal robots

draco_nodelet

Nodelet for Draco Humanoid

gazebo_scorpio_plugin

gazebo model plugin for an isoelastic manipulator Scorpio

homework_fall2021

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)

hpipm-cpp

C++ interface for hpipm, a high-performance interior point MPC solver

legged_control

Nonlinear MPC and WBC framework for legged robot based on OCS2 and ros-controls

librealsense

Intel® RealSense™ SDK

MatLogger2

Library for logging of numeric data to HDF5 MAT-files, which is RT-safe and multithreaded.

mpc_rl_course

nodelet_basics

ocs2

Optimal Control for Switched Systems

pink

Python inverse kinematics for articulated robot models, based on Pinocchio

pinocchio

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

PnC

Planning and Control Algorithms for Robotics

realsesne_ar_track

eye-to-hand realsense camera calibration node using artag

robot_descriptions.py

Import robot descriptions as Python modules

ScorpioTester

shbang91.github.io

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

shbang91_previous_profile

yet-another-rl-tutorial

zmq-protobuf

communication between python and cpp using zeromq and protobuf