Roozbeh Mottaghi

Roozbeh Mottaghi
Senior Tech Lead
Meta · Fundamental AI Research (FAIR) · Robotics


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Leading research on Embodied AI, focusing on building AI systems that can perceive, reason, and interact with the physical world.

Featured Work

Embodied AI Simulators

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AI2-THOR/ProcTHOR

Large-scale scene generation for Embodied AI.

NeurIPS Outstanding Paper Award
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Habitat 3.0

Simulator for humans and robots.

World Models

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ODIN

Learning to imagine the 3D world.

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ObjectForesight

Predicting future 3D states of objects.

Planning & Reasoning

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PARTNR

A benchmark and suite of models for embodied planning and reasoning.

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Embodied Learnable Memory

Planning with a dynamic memory.

Robot Navigation

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Target-driven Navigation

RL for indoor navigation.

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Go To AnyThing (GOAT)

Robot navigation generalizable to different AirBnBs.

Object Manipulation

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HomeRobot

Open-vocab mobile manipulation.

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Track2Act

Learning manipulation from internet videos.

Physical Reasoning

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Newtonian Image Understanding

Learning dynamics of objects in images.

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InfLevel

Benchmarking progress to infant-level physical reasoning.

Self-Adaptive Models

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SAVN

Self-adaptive robot navigation.

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Interactron

Self-adaptive object detection.

Representation Learning

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DECADE

Learning from dog behavior.

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MuscleTorch

Learning from muscle interactions.

Reasoning-based VQA

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OK-VQA

VQA with external knowledge.

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A-OKVQA

VQA with world knowledge.

View all publications →

Recent Updates

Nov 2025 Invited talks at Holistic Video Understanding and VLM Challenges workshops at NeurIPS 2025.
Nov 2025 Invited talk at CSE Colloquium at UCSC on mitigating data scarcity via simulation.
Nov 2025 Lead Area Chair for CVPR 2026 and Area Chair for ICLR 2026.
Oct 2025 Invited talks at Human-aware Embodied AI (IROS) and Human-Robot-Scene (ICCV) workshops.
Jun 2025 Invited talks at 3D-LLM/VLA and Embodied Humans workshops at CVPR 2025.
Apr 2025 Invited talk at VCR/AI seminars at Simon Fraser University.

Older updates →

Background

I am a Senior AI Research Scientist Manager at FAIR and an Affiliate Associate Professor in Paul G. Allen School of Computer Science & Engineering at the University of Washington.

Prior to joining FAIR, I was the Research Manager of the PRIOR team at the Allen Institute for AI. Before that, I was a Postdoctoral Researcher at Stanford University. I received my Ph.D. from UCLA, advised by Alan Yuille.

Students & Interns

I have had the privilege of working with the following PhD students, residents, and interns.

Kiana Ehsani PhD student (2016–2021), Co-advisor → Research Scientist at AI2
Kuo-hao Zeng PhD student (2018–2023), Co-advisor → Research Scientist at AI2
Mitchell Wortsman AI2 PYI (2018–2019) → PhD student at U. Washington
Klemen Kotar AI2 PYI (2020–2022) → PhD student at Stanford
Apoorv Khandelwal AI2 PYI (2020–2022) → PhD student at Brown
Kunal Singh AI2 PYI (2021–2023) → PhD student at EPFL
Homanga Bharadhwaj Meta AIM (2023–2024) → Research Scientist at Meta FAIR

Interns

Yuke Zhu Stanford Daniel Gordon U Washington Kenneth Marino CMU Arun Mallya UIUC Fan Yang CMU Prithvijit Chattopadhyay Georgia Tech Vishvak Murahari Princeton Qian Huang Cornell Samir Gadre Columbia Kshitij Dwivedi Goethe Amanda Rose Yuile UIUC Peng Gao CUHK Jialin Wu UT Austin Karl Schmeckpeper U Penn So Yeon Min CMU Ram Ramrakhya Georgia Tech Cem Gokmen Stanford