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ada_ycb_backup

adablockstudy

A study intended to build a corpus of data relating to the natural language people use when instructing a robot on picking up objects with an emphasis on spatial relationships.

ai-bestpapers

:trophy: AI Best Paper Awards

averaging_quaternions

Implements the work done by F. Landis Merkley to calculate the average quaternion.

bayesian_hilbert_maps_exps

cadrl_ros

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

configen-tests

A subset of the torch repo used to test the nuts and bolts of configen (a tool within he hydra project).

correctivefb_utils

crowdnav

[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

drl_hw1

Starter code for first homework with mujoco

explainable_rl_mdp_project

eye

Code + Docs for Embedded Perception

hydra

Hydra is a framework for elegantly configuring complex applications

hydra-lightning

Configuration classes enabling Hydra to configure and manage Pytorch Lightning projects.

hydra-sc-tutorial

Incremental tutorial on using advanced features of the hydra framework through structured configs.

isaaclab

Unified framework for robot learning built on NVIDIA Isaac Sim

jtd-remote

Example of Just the Docs as a remote theme

just-the-docs

A modern, high customizable, responsive Jekyll theme for documention with built-in search.

keras_refexp

libkindrv

Fork of the open source driver for Kinova MICO and JACO robot arms.

locomotion_simulation

mushr_cvae_experiments

Experiment logs for MuSHR latent variable model testing.

nemo

NeMo: a toolkit for conversational AI

nero

Neural Robotics: A collection of neural modules for planning, perception, and control.

omniisaacgymenvs

Reinforcement Learning Environments for Omniverse Isaac Gym

planninghw3

plotly.py

The interactive graphing library for Python (includes Plotly Express) :sparkles:

pr-rosinstalls

wstool .rosinstall files for various projects or setups

prpy

Python utilities used by the Personal Robotics Laboratory.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration