Silvio Savarese

収録論文 77本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• Robotic VLA Benefits from Joint Learning with Motion Image Diffusion
  2025/12/1
• BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation
  2024/3/1
• Nothing Stands Still: A Spatiotemporal Benchmark on 3D Point Cloud Registration Under Large Geometric and Temporal Change
  2023/11/1
• Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear
  2023/6/1
• Online Distribution Shift Detection via Recency Prediction
  2022/11/1
• ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
  2022/3/1
• Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation
  2021/12/1
• Sample-Efficient Safety Assurances using Conformal Prediction
  2021/9/1
• Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
  2021/9/1
• What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
  2021/8/1
• Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
  2021/8/1
• BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments
  2021/8/1
• iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
  2021/8/1
• Discovering Generalizable Skills via Automated Generation of Diverse Tasks
  2021/6/1
• Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control
  2021/3/1
• LASER: Learning a Latent Action Space for Efficient Reinforcement Learning
  2021/3/1
• Embodied Intelligence via Learning and Evolution
  2021/2/1
• iGibson 1.0: a Simulation Environment for Interactive Tasks in Large Realistic Scenes
  2020/12/1
• Semantic and Geometric Modeling with Neural Message Passing in 3D Scene Graphs for Hierarchical Mechanical Search
  2020/12/1
• Human-in-the-Loop Imitation Learning using Remote Teleoperation
  2020/12/1
• Topological Planning with Transformers for Vision-and-Language Navigation
  2020/12/1
• Learning Multi-Arm Manipulation Through Collaborative Teleoperation
  2020/12/1
• Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
  2020/11/1
• Deep Affordance Foresight: Planning Through What Can Be Done in the Future
  2020/11/1
• Multimodal Sensor Fusion with Differentiable Filters
  2020/10/1
• Robot Navigation in Constrained Pedestrian Environments using Reinforcement Learning
  2020/10/1
• ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation
  2020/8/1
• Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter
  2020/8/1
• Goal-Aware Prediction: Learning to Model What Matters
  2020/7/1
• Adaptive Procedural Task Generation for Hard-Exploration Problems
  2020/7/1
• Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations
  2020/3/1
• Probabilistic Visual Navigation with Bidirectional Image Prediction
  2020/3/1
• JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
  2020/2/1
• Learning to Navigate Using Mid-Level Visual Priors
  2019/12/1
• Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity
  2019/11/1
• IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data
  2019/11/1
• Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation
  2019/10/1
• Interactive Gibson Benchmark (iGibson 0.5): A Benchmark for Interactive Navigation in Cluttered Environments
  2019/10/1
• JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments
  2019/10/1
• KETO: Learning Keypoint Representations for Tool Manipulation
  2019/10/1
• HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators
  2019/10/1
• 6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints
  2019/10/1
• 3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera
  2019/10/1
• Regression Planning Networks
  2019/9/1
• SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning
  2019/9/1
• Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning
  2019/8/1
• Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks
  2019/7/1
• Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks
  2019/6/1
• Deep Local Trajectory Replanning and Control for Robot Navigation
  2019/5/1
• Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
  2019/3/1
• Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter
  2019/3/1
• Deep Visual MPC-Policy Learning for Navigation
  2019/3/1
• A Behavioral Approach to Visual Navigation with Graph Localization Networks
  2019/3/1
• DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
  2019/1/1
• Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies
  2018/12/1
• RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation
  2018/11/1
• Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks
  2018/10/1
• Gibson Env: Real-World Perception for Embodied Agents
  2018/8/1
• Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration
  2018/7/1
• Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision
  2018/6/1
• VUNet: Dynamic Scene View Synthesis for Traversability Estimation using an RGB Camera
  2018/6/1
• Taskonomy: Disentangling Task Transfer Learning
  2018/4/1
• GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation
  2018/3/1
• Neural Task Programming: Learning to Generalize Across Hierarchical Tasks
  2017/10/1
• Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation
  2017/10/1
• Generic 3D Representation via Pose Estimation and Matching
  2017/10/1
• To Go or Not To Go? A Near Unsupervised Learning Approach For Robot Navigation
  2017/9/1
• ADAPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems
  2017/7/1
• Joint 2D-3D-Semantic Data for Indoor Scene Understanding
  2017/2/1
• Unsupervised Semantic Action Discovery from Video Collections
  2016/5/1
• Learning to Track at 100 FPS with Deep Regression Networks
  2016/4/1
• Watch-n-Patch: Unsupervised Learning of Actions and Relations
  2016/3/1
• Forecasting Social Navigation in Crowded Complex Scenes
  2016/1/1
• ShapeNet: An Information-Rich 3D Model Repository
  2015/12/1
• Watch-Bot: Unsupervised Learning for Reminding Humans of Forgotten Actions
  2015/12/1
• Structural-RNN: Deep Learning on Spatio-Temporal Graphs
  2015/11/1
• Deep Learning for Single-View Instance Recognition
  2015/7/1