Learning Guide — Stanford Online

iGibson: Interactive Simulation of Large Scale Virtualized Realistic Scenes for Robot Learning

@InProceedings{pmlr-v164-li22b, title = {iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks}, author = {Li, Chengshu and Xia, Fei and Mart\'in-Mart\'in, Roberto and Lingelbach, Michael and Srivastava, Sanjana and Shen, Bokui and Vainio, Kent Elliott and Gokmen, Cem

IntermediateSelf-paced (provider defined)self paced
Save to read later — works without an account
Stanford Online
Prerequisites

Before you start

  • Basic Python familiarity
  • Comfort with algebra or calculus basics
  • Interest in robotics systems
Course Detail

About this guide

@InProceedings{pmlr-v164-li22b, title = {iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks}, author = {Li, Chengshu and Xia, Fei and Mart'in-Mart'in, Roberto and Lingelbach, Michael and Srivastava, Sanjana and Shen, Bokui and Vainio, Kent Elliott and Gokmen, Cem and Dharan, Gokul and Jain, Tanish and Kurenkov, Andrey and Liu, Karen and Gweon, Hyowon and Wu, Jiajun and Fei-Fei, Li and Savarese, Silvio}, booktitle = {Proceedings of the 5th Conference on Robot

Frequently Asked

Common questions

What will I learn in iGibson: Interactive Simulation of Large Scale Virtualized Realistic Scenes for Robot Learning?

@InProceedings{pmlr-v164-li22b, title = {iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks}, author = {Li, Chengshu and Xia, Fei and Mart\'in-Mart\'in, Roberto and Lingelbach, Michael and Srivastava, Sanjana and Shen, Bokui and Vainio, Kent Ell

Is iGibson: Interactive Simulation of Large Scale Virtualized Realistic Scenes for Robot Learning free?

HumanoidHub has not verified public pricing for this guide. Open Stanford Online for the current access terms before enrolling.

Do I need any prerequisites?

Recommended prep: Basic Python familiarity; Comfort with algebra or calculus basics; Interest in robotics systems.

How long does it take?

Self-paced (provider defined). Most learners complete this guide in self-directed sessions over a few weeks.

Does it offer a certificate?

This guide does not include a formal certificate. Focus is on the learning material itself.

Continue Learning

Related guides

All guides →
A new model offers robots precise pick-and-place solutions

A new model offers robots precise pick-and-place solutions

SimPLE (Simulation to Pick Localize and placE), a new model developed by MIT researchers, learns to pick, regrasp and place objects using object’s computer-aided design (CAD) model

intermediate
Teaching Humanoid Robots Real-World Skills at MIT CSAIL’s Living Lab

Teaching Humanoid Robots Real-World Skills at MIT CSAIL’s Living Lab

Member Resources MIT In This Section Home MIT In This Section Filter Options In This Section Filter Options In This Section # Teaching Humanoid Robots Real-World Skills at MIT CSAIL’s Living Lab At MIT CSAIL's Living Lab, humanoid robots are learning to adapt, manipulate, and solve real p

intermediate
MIT OpenCourseWare

Drake: Model-Based Design and Verification for Robotics

# Model-Based Design and Verification for Robotics A C++ / Python toolbox supported by the Toyota Research Institute. Install Learn More ## Core Library #### Modeling Dynamical Systems APITUTORIAL #### Solving Mathematical Programs APITUTORIAL #### Multibody Kinematics and Dynamics APITUTOR

intermediate
Training a Robot to Shape Letters from Play-Doh | Stanford HAI

Training a Robot to Shape Letters from Play-Doh | Stanford HAI

Stanford’s RoboCraft learns to mold deformable objects from visual cues, a capability that could lead to more useful home assistants.

intermediate
What Is Robotics?

What Is Robotics?

Get a clear answer to the question, “What is robotics?” Then, learn more information about robots and robotics, including how you can turn robotics into a career.

beginner
A neural blueprint for human-like intelligence in soft robots

A neural blueprint for human-like intelligence in soft robots

A new AI control system enables soft robotic arms to learn a wide repertoire of motions and tasks once, then adjust to new scenarios on the fly without needing retraining or sacrificing functionality. The work was co-led by researchers at the Singapore-MIT Alliance for Research and Technology (SMART

intermediate
Skills Apply To

Robots that use these skills

Share This Guide

Links include UTM tags so we can credit referrers.

Referral Program

Refer a learner and get early access to our paid pathways and 1:1 mentorship pilot.

Join referral list
Stanford Online
iGibson: Interactive Simulation of Large Scale Virtualized Realistic Scenes for Robot Learning
Start
Weekly Robotics Brief

New robots, funding, and signals. Every Thursday.

Unsubscribe anytime.