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virtualhome virtualhome about docs robothow github virtualhome a multi agent household simulator about virtualhome is a multi agent platform to simulate activities in a household agents are represented as humanoid avatars which can interact with the environment through high level instructions you can use virtualhome to render videos of human activities or train agents to perform complex tasks virtualhome also includes a knowledge base providing instructions to perform a large set of activities try the simulator check out the docs explore robothow features interactive objects you can move and change the state of the objects in the environment the environment can be programatically generated humanoid agents we provide multiple human avatars as agents with path planning ik and animations to generate realistic actions multi modal you can record activities across different modalities and using multiple camera views simulatenously multi agent you can add multiple agents in the environment and control them concurrently news 03 28 2022 new virtualhome v2 3 0 is out check out the release notes here 07 27 2020 we released virtualhome v2 including multi agent support and a setup for rl training check it out in the repo 07 27 2020 the source code for the virtualhome simulator is now available activity knowledge base we have collected a knowledge base of activities people do at home for every activity we have descriptions of different ways to perform it and a program that describes how to execute it the knowledge base also contains information about states of objects in the environment and typical locations of those objects check out robothow for an overview of the knowledge base of activity programs virtualhome in research here is some of the research using virtualhome virtualhome simulating household activities via programs presents virtualhome and proposes a model to predict programs from videos or descriptions the predicted program is finetuned using rl to be executable in the simulator x puig k ra m boben j li t wang s fidler a torralba link paper in proc computer vision and pattern recognition cvpr 2018 synthesizing environment aware activities via activity sketches represents activities via sketches proposes a model to generate programs from sketches such that they are consistent with a target environment a liao x puig m boben a torralba s fidler link paper in proc computer vision and pattern recognition cvpr 2019 watch and help a challenge for social perception and human ai collaboration presents a challenge where an agent has to infer a human like agent s goals and find the best way to achieve the goals efficiently x puig t shu s li z wang a liao j tenenbaum s fidler a torralba link paper in proc international conference on learning representations team xavier puig mit kevin ra mcgill university marko boben university of ljulbjana yuan hong liao university of toronto tianmin shu mit shuang li mit jiaman li university of toronto tingwu wang university of toronto mit jordan ren mit sanja fidler university of toronto antonio torralba mit contact reach out to xavierpuig csail mit edu for questions suggestions and feedback copyright virtualhome 2018 2020 accessibility