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THDA: Treasure Hunt Data Augmentation for Semantic Navigation
Can general-purpose neural models learn to navigate?
Oleksandr Maksymets, Vincent Cartillier, Aaron Gokaslan, Erik Wijmans, Wojciech Galuba, Stefan Lee, Dhruv Batra
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THDA: Treasure Hunt Data Augmentation for Semantic Navigation
Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI
We present the Habitat-Matterport 3D (HM3D) dataset. HM3D is a large-scale dataset of 1,000 building-scale 3D reconstructions from a diverse set of real-world locations.
Santhosh K Ramakrishnan, Aaron Gokaslan, Erik Wijmans, Oleksandr Maksymets, Alex Clegg, John Turner, Eric Undersander, Wojciech Galuba, Andrew Westbury, Angel X. Chang, Manolis Savva, Yili Zhao, Dhruv Batra
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Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
We introduce Habitat 2.0 (H2.0), a simulation platform for training virtual robots in interactive 3D environments and complex physics-enabled scenarios.
Andrew Szot, Alex Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John Turner, Noah Maestre, Mustafa Mukadam, Devendra Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra
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Habitat 2.0: Training Home Assistants to Rearrange their Habitat
Robust Visual Odometry for Realistic PointGoal Navigation
The ability to navigate in complex environments is a fundamental skill of a home robot.
Ruslan Partsey, Oleksandr Maksymets
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Waypoint Models for Instruction-guided Navigation in Continuous Environments
Little inquiry has explicitly addressed the role of action spaces in language-guided visual navigation – either in terms of its effect on navigation success or the efficiency with which a robotic agent could execute the resulting trajectory.
Jacob Krantz, Aaron Gokaslan, Oleksandr Maksymets, Dhruv Batra, Stefan Lee
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Waypoint Models for Instruction-guided Navigation in Continuous Environments
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents
Recent work has presented embodied agents that can navigate to point-goal targets in novel indoor environments with near-perfect accuracy.
Samyak Datta, Judy Hoffman, Oleksandr Maksymets, Stefan Lee, Dhruv Batra, Devi Parikh
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Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents
ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects
Dhruv Batra, Aaron Gokaslan, Aniruddha Kembhavi, Oleksandr Maksymets, Roozbeh Mottaghi, Manolis Savva, Alexander Toshev, Erik Wijmans
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ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects
Habitat: A Platform for Embodied AI Research
A new platform for the development of embodied artificial intelligence (AI).
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra
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Habitat: A Platform for Embodied AI Research
Embodied Question Answering in Photorealistic Environments with Point Cloud Perception
To help bridge the gap between internet vision-style problems and the goal of vision for embodied perception we instantiate a large-scale navigation task – Embodied Question Answering in photo-realistic environments (Matterport 3D).
Erik Wijmans, Samyak Datta, Oleksandr Maksymets, Abhishek Das, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, Dhruv Batra
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Embodied Question Answering in Photorealistic Environments with Point Cloud Perception
Searching Online Social Networks Using Entity-based Embeddings
In one embodiment, a method includes receiving, from a client system associated with a user of an online social network
Karthik Subbian, Haixun Wang, Oleksandr Maksymets
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