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Principles and Guidelines for Evaluating Social Robot Navigation Algorithms
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ViNT: A Foundation Model for Visual Navigation
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Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation
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Adaptive Coordination in Social Embodied Rearrangement
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ENTL: Embodied Navigation Trajectory Learner
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NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants
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Navigating to objects in the real world
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Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control
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SEAN 2.0: Formalizing and Generating Social Situations for Robot Navigation
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Human Motion Diffusion Model
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Multi-skill Mobile Manipulation for Object Rearrangement
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Rethinking Sim2Real: Lower Fidelity Simulation Leads to Higher Sim2Real Transfer in Navigation
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Inner Monologue: Embodied Reasoning through Planning with Language Models
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ProcTHOR: Large-Scale Embodied AI Using Procedural Generation
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Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale
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TEACh: Task-driven Embodied Agents that Chat
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Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents
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Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI
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iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
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BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments
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ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations
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RMA: Rapid Motor Adaptation for Legged Robots
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Habitat 2.0: Training Home Assistants to Rearrange their Habitat
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Generating Manga from Illustrations via Mimicking Manga Creation Workflow
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ManipulaTHOR: A Framework for Visual Object Manipulation
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GridToPix: Training Embodied Agents with Minimal Supervision
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SocNavBench: A Grounded Simulation Testing Framework for Evaluating Social Navigation
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MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation
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iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes
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Sim-to-Real Transfer for Vision-and-Language Navigation
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Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration
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Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding
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robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
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AllenAct: A Framework for Embodied AI Research
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Bridging the Imitation Gap by Adaptive Insubordination
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ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
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A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks
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Object Goal Navigation using Goal-Oriented Semantic Exploration
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ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects
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RMM: A Recursive Mental Model for Dialog Navigation
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RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
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Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments
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SAPIEN: A SimulAted Part-Based Interactive ENvironment
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"Other-Play" for Zero-Shot Coordination
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SoundSpaces: Audio-Visual Navigation in 3D Environments
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DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
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Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments
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Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
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HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators
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On the Utility of Learning about Humans for Human-AI Coordination
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RLBench: The Robot Learning Benchmark & Learning Environment
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Emergent Tool Use From Multi-Agent Autocurricula
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Google Research Football: A Novel Reinforcement Learning Environment
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Vision-and-Dialog Navigation
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Expressive Body Capture: 3D Hands, Face, and Body From a Single Image
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Two Body Problem: Collaborative Visual Task Completion
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AMASS: Archive of Motion Capture As Surface Shapes
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Habitat: A Platform for Embodied AI Research
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VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning
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Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents
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The StarCraft Multi-Agent Challenge
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Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
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Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience
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Pommerman: A Multi-Agent Playground
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Unity: A General Platform for Intelligent Agents
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On Evaluation of Embodied Navigation Agents
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Human-level performance in 3D multiplayer games with population-based reinforcement learning
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VirtualHome: Simulating Household Activities Via Programs
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Gibson Env: Real-World Perception for Embodied Agents
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AI2-THOR: An Interactive 3D Environment for Visual AI
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Embodied Question Answering
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Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments
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Emergence of Grounded Compositional Language in Multi-Agent Populations
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Yale-CMU-Berkeley dataset for robotic manipulation research
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Interactive Learning from Policy-Dependent Human Feedback
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Multi-Agent Cooperation and the Emergence of (Natural) Language
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Target-driven visual navigation in indoor scenes using deep reinforcement learning
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Learning Multiagent Communication with Backpropagation
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Learning to Communicate with Deep Multi-Agent Reinforcement Learning
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Deep Residual Learning for Image Recognition
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Fitting Linear Mixed-Effects Models Using lme4
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Skinning with dual quaternions
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Spherical blend skinning: a real-time deformation of articulated models
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Learning Communication for Multi-agent Systems
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Complete Counterbalancing of Immediate Sequential Effects in a Latin Square Design
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Using Generalized Linear (Mixed) Models in HCI
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A method for stochastic optimization
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Learning generalizable visual representations via interactive gameplay
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Learning diverse strategies for human-robot collaboration