manuelli

key_dynam

Code for paper "Keypoints into the Future: Self-Supervised Correspondence in Model-Based RL"

director

A robotics interface and visualization framework, with extensive applications for working with http://drake.mit.edu

docker_env

drake_tutorial

Simple tutorials on how to use Drake

ggcnn_kinova_grasping

Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)

pytorch-dense-correspondence

Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"

spartan_grasp_msgs

ROS messages for spartan_grasp

visual-pushing-grasping

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

2.141_system_dynamics

Notes for 2.141 system dynamics

2_141_course_project

Course Project for 2.141 System Dynamics and Modelling

cv-utils

minimal cv-utils from openhumanoids

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dex-net-1

Repository for reading the Dex-Net 2.0 HDF5 database of 3D objects, parallel-jaw grasps, and robust grasp metrics

drake_trajectory_planning_msgs

Contains ROS message types for drake trajectory planning

ElasticFusion

Real-time dense visual SLAM system

gqcnn

Python modules for GQ-CNN training and deployment, with ROS integration

gym

A toolkit for developing and comparing reinforcement learning algorithms.

kPAM

kPAM: Generalizable Robotic Manipulation

kplan-ros

mankey-ros

manuelli.github.io

My website

mcubeUROP

Fall 2017 UROP with Peter Yu

mrcnn_integrate

mrcnn_ros

pymunk

Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python

pytorch_tutorial

Simple repo containing a docker image for learning pytorch

software_setup

Repository containing some useful software setup scripts

spartan-1

A project repo for robotics research and applications using drake and director.

spartan_grasp_perception

tensorflow_tutorial