yusuke1997/dblp-id-title huggingface dataset:
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments
Laplace Approximation Based Epistemic Uncertainty Estimation in 3D Object Detection
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
Learning Representations that Enable Generalization in Assistive Tasks
Robustness Certification of Visual Perception Models via Camera Motion Smoothing
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations
Safe Policy Learning for Continuous Control
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles
Taskography: Evaluating robot task planning over large 3D scene graphs
RoboPoint: A Vision-Language Model for Spatial Affordance Prediction in Robotics
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty
Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning
Policy learning in SE(3) action spaces
ReSkin: versatile, replaceable, lasting tactile skins
XSkill: Cross Embodiment Skill Discovery
Towards Learning to Detect and Predict Contact Events on Vision-based Tactile Sensors
Learning Multi-Stage Tasks with One Demonstration via Self-Replay
Efficient Tactile Simulation with Differentiability for Robotic Manipulation
Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning
Learning Partially Contracting Dynamical Systems from Demonstrations
NeuralGrasps: Learning Implicit Representations for Grasps of Multiple Robotic Hands
Model-based Behavioral Cloning with Future Image Similarity Learning
Deep Drone Racing: Learning Agile Flight in Dynamic Environments
Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter
Multi-Task Interactive Robot Fleet Learning with Visual World Models
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions
DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking
PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes
Reinforcement Learning with Videos: Combining Offline Observations with Interaction
Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light
Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning
LEO: Learning Energy-based Models in Factor Graph Optimization
Flightmare: A Flexible Quadrotor Simulator
Multimodal Attention Branch Network for Perspective-Free Sentence Generation
DexCatch: Learning to Catch Arbitrary Objects with Dexterous Hands
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving
Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision
Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections
Neural Posterior Domain Randomization
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion
TactileVAD: Geometric Aliasing-Aware Dynamics for High-Resolution Tactile Control
Learning rich touch representations through cross-modal self-supervision
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Expanding Motor Skills using Relay Networks
Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences
Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective
Contrastive Value Learning: Implicit Models for Simple Offline RL
RoboFlow: a Data-centric Workflow Management System for Developing AI-enhanced Robots
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation
Learning Predictive Models for Ergonomic Control of Prosthetic Devices
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments
Multi-agent Reinforcement Learning with Hybrid Action Space for Free Gait Motion Planning of Hexapod Robots
Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation
Structured deep generative models for sampling on constraint manifolds in sequential manipulation
Learning from demonstration with model-based Gaussian process
Dynamics-Guided Diffusion Model for Sensor-less Robot Manipulator Design
SoftManiSim: A Fast Simulation Framework for Multi-Segment Continuum Manipulators Tailored for Robot Learning
Teaching Robots with Show and Tell: Using Foundation Models to Synthesize Robot Policies from Language and Visual Demonstration
Driving Policy Transfer via Modularity and Abstraction
Efficient and Stable Off-policy Training via Behavior-aware Evolutionary Learning
Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation
Physically Embodied Gaussian Splatting: A Visually Learnt and Physically Grounded 3D Representation for Robotics
Visually-Grounded Library of Behaviors for Manipulating Diverse Objects across Diverse Configurations and Views
PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators
Marginalized Importance Sampling for Off-Environment Policy Evaluation
Last-Mile Embodied Visual Navigation
Enhancing Consistent Ground Maneuverability by Robot Adaptation to Complex Off-Road Terrains
Touching a NeRF: Leveraging Neural Radiance Fields for Tactile Sensory Data Generation
MimicTouch: Leveraging Multi-modal Human Tactile Demonstrations for Contact-rich Manipulation
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning
A Universal Semantic-Geometric Representation for Robotic Manipulation
Automated Creation of Digital Cousins for Robust Policy Learning
Group-based Motion Prediction for Navigation in Crowded Environments
Auxiliary Tasks Speed Up Learning Point Goal Navigation
Certified Adversarial Robustness for Deep Reinforcement Learning
Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception
Multi-Resolution Sensing for Real-Time Control with Vision-Language Models
Robust Quadrupedal Locomotion on Sloped Terrains: A Linear Policy Approach
Optimizing Long-term Predictions for Model-based Policy Search
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning
Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning
KITE: Keypoint-Conditioned Policies for Semantic Manipulation
Personalized Dynamics Models for Adaptive Assistive Navigation Systems
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation
"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer
Multi-Robot Scene Completion: Towards Task-Agnostic Collaborative Perception
HANDLOOM: Learned Tracing of One-Dimensional Objects for Inspection and Manipulation
Hierarchical Reinforcement Learning with Parameters
Learning to Drive Anywhere
DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control
Surrogate Assisted Generation of Human-Robot Interaction Scenarios
Hierarchical Planning for Rope Manipulation using Knot Theory and a Learned Inverse Model
KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation
Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks
MuGNet: Multi-Resolution Graph Neural Network for Segmenting Large-Scale Pointclouds
Modeling the Real World with High-Density Visual Particle Dynamics
Risk-Aware Active Inverse Reinforcement Learning
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning
Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
Conference on Robot Learning, 6-9 November 2024, Munich, Germany
Stabilize to Act: Learning to Coordinate for Bimanual Manipulation
UBSoft: A Simulation Platform for Robotic Skill Learning in Unbounded Soft Environments
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning
DEFT: Dexterous Fine-Tuning for Hand Policies
Twisting Lids Off with Two Hands
Instruction-driven history-aware policies for robotic manipulations
Learning Data-Efficient Rigid-Body Contact Models: Case Study of Planar Impact
MOSAIC: Modular Foundation Models for Assistive and Interactive Cooking
Conference on Robot Learning, CoRL 2022, 14-18 December 2022, Auckland, New Zealand
A Policy Optimization Method Towards Optimal-time Stability
Learning to Design and Use Tools for Robotic Manipulation
Conference on Robot Learning, 8-11 November 2021, London, UK
ClutterGen: A Cluttered Scene Generator for Robot Learning
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments
Regularizing Model-Based Planning with Energy-Based Models
On-Policy Robot Imitation Learning from a Converging Supervisor
Adapting Humanoid Locomotion over Challenging Terrain via Two-Phase Training
That Sounds Right: Auditory Self-Supervision for Dynamic Robot Manipulation
Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area
JA-TN: Pick-and-Place Towel Shaping from Crumpled States based on TransporterNet with Joint-Probability Action Inference
Reciprocal MIND MELD: Improving Learning From Demonstration via Personalized, Reciprocal Teaching
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds
Autonomous Interactive Correction MLLM for Robust Robotic Manipulation
Dreamitate: Real-World Visuomotor Policy Learning via Video Generation
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning
Scaling Manipulation Learning with Visual Kinematic Chain Prediction
Energy-efficient Path Planning for Ground Robots by and Combining Air and Ground Measurements
Sim-to-Real Robot Learning from Pixels with Progressive Nets
Learning Density Distribution of Reachable States for Autonomous Systems
Learning Performance-oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation
Stochastic Optimal Control as Approximate Input Inference
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds
Learning to Navigate Using Mid-Level Visual Priors
Learning Backchanneling Behaviors for a Social Robot via Data Augmentation from Human-Human Conversations
InstructNav: Zero-shot System for Generic Instruction Navigation in Unexplored Environment
LeLaN: Learning A Language-Conditioned Navigation Policy from In-the-Wild Video
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?
Learning Compositional Behaviors from Demonstration and Language
Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation
Variational Inference MPC for Bayesian Model-based Reinforcement Learning
Sim-to-Real Transfer with Neural-Augmented Robot Simulation
Polybot: Training One Policy Across Robots While Embracing Variability
BridgeData V2: A Dataset for Robot Learning at Scale
Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events
Continual Vision-based Reinforcement Learning with Group Symmetries
Neural Modular Control for Embodied Question Answering
EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning
Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration
Adversarially Robust Imitation Learning
RoCUS: Robot Controller Understanding via Sampling
TNT: Target-driven Trajectory Prediction
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play
BM2CP: Efficient Collaborative Perception with LiDAR-Camera Modalities
Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements Matching
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals
Transporter Networks: Rearranging the Visual World for Robotic Manipulation
Parting with Misconceptions about Learning-based Vehicle Motion Planning
PairwiseNet: Pairwise Collision Distance Learning for High-dof Robot Systems
Stochastic Policy Optimization with Heuristic Information for Robot Learning
Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot Learning
Learning Object Manipulation Skills via Approximate State Estimation from Real Videos
MILES: Making Imitation Learning Easy with Self-Supervision
Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors
Tell Me Where to Go: A Composable Framework for Context-Aware Embodied Robot Navigation
Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural Rendering
Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks
Gesture-Informed Robot Assistance via Foundation Models
LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning
FlingBot: The Unreasonable Effectiveness of Dynamic Manipulation for Cloth Unfolding
Generation of Realistic Images for Learning in Simulation using FeatureGAN
OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data
Learning to See Physical Properties with Active Sensing Motor Policies
Positive-Unlabeled Reward Learning
IMU-Assisted Learning of Single-View Rolling Shutter Correction
Distribution Discrepancy and Feature Heterogeneity for Active 3D Object Detection
Language-Guided Traffic Simulation via Scene-Level Diffusion
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods
WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts
Leveraging Deep Visual Descriptors for Hierarchical Efficient Localization
Learning Sequential Acquisition Policies for Robot-Assisted Feeding
EscIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning
Parallelised Diffeomorphic Sampling-based Motion Planning
Disentangled Relational Representations for Explaining and Learning from Demonstration
PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining
Learning Certified Control Using Contraction Metric
RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin Environments
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation
Robot Parkour Learning
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
Learning Behaviors through Physics-driven Latent Imagination
LanguageRefer: Spatial-Language Model for 3D Visual Grounding
Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees
HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative roBOTs
Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity
Robot Action Selection Learning via Layered Dimension Informed Program Synthesis
PlanT: Explainable Planning Transformers via Object-Level Representations
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal
Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments
Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion
Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Explorations
MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
Contrastive Imitation Learning for Language-guided Multi-Task Robotic Manipulation
Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach
A Bayesian Approach to Robust Inverse Reinforcement Learning
Deep Black-Box Reinforcement Learning with Movement Primitives
Learning Obstacle Representations for Neural Motion Planning
Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning
TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer
Learning over Subgoals for Efficient Navigation of Structured, Unknown Environments
Language-guided Robot Grasping: CLIP-based Referring Grasp Synthesis in Clutter
Learning Human Contribution Preferences in Collaborative Human-Robot Tasks
Simultaneous Learning of Contact and Continuous Dynamics
Expansive Latent Planning for Sparse Reward Offline Reinforcement Learning
Fast 3D Modeling with Approximated Convolutional Kernels
On-Robot Learning With Equivariant Models
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations
Tactile Image-to-Image Disentanglement of Contact Geometry from Motion-Induced Shear
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning
Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language Models
Relational Learning for Skill Preconditions
SeqMatchNet: Contrastive Learning with Sequence Matching for Place Recognition & Relocalization
Legolas: Deep Leg-Inertial Odometry
Learning Robot Manipulation from Cross-Morphology Demonstration
Quantifying Assistive Robustness Via the Natural-Adversarial Frontier
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play
Towards Scalable Coverage-Based Testing of Autonomous Vehicles
Learning Model Preconditions for Planning with Multiple Models
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations
When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation
Batch Differentiable Pose Refinement for In-The-Wild Camera/LiDAR Extrinsic Calibration
Ready, Set, Plan! Planning to Goal Sets Using Generalized Bayesian Inference
Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs
SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation
Aligning an optical interferometer with beam divergence control and continuous action space
Selective Object Rearrangement in Clutter
TRITON: Neural Neural Textures for Better Sim2Real
MaIL: Improving Imitation Learning with Selective State Space Models
Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds
Lessons from Learning to Spin "Pens"
Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection
HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight
TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving
Control with Patterns: A D-learning Method
Eliciting Compatible Demonstrations for Multi-Human Imitation Learning
Benchmarking Reinforcement Learning Algorithms on Real-World Robots
Specializing Versatile Skill Libraries using Local Mixture of Experts
Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation
I Can Tell What I am Doing: Toward Real-World Natural Language Grounding of Robot Experiences
Velociraptor: Leveraging Visual Foundation Models for Label-Free, Risk-Aware Off-Road Navigation
Learning Bimanual Scooping Policies for Food Acquisition
Composable Part-Based Manipulation
Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing
Do we use the Right Measure? Challenges in Evaluating Reward Learning Algorithms
The Task Specification Problem
Learning by Cheating
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations
Diff-LfD: Contact-aware Model-based Learning from Visual Demonstration for Robotic Manipulation via Differentiable Physics-based Simulation and Rendering
Cross-Domain Transfer via Semantic Skill Imitation
Curiosity-Driven Learning of Joint Locomotion and Manipulation Tasks
Accelerating Reinforcement Learning with Learned Skill Priors
Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation
Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills
ResPilot: Teleoperated Finger Gaiting via Gaussian Process Residual Learning
Two Stream Networks for Self-Supervised Ego-Motion Estimation
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers
SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning
Soft Multicopter Control Using Neural Dynamics Identification
Learning a Decision Module by Imitating Driver's Control Behaviors
Differentiable Robot Rendering
Evaluations of the Gap between Supervised and Reinforcement Lifelong Learning on Robotic Manipulation Tasks
Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation
Sparsh: Self-supervised touch representations for vision-based tactile sensing
Active Domain Randomization
Benchmarks for reinforcement learning in mixed-autonomy traffic
RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning
Learning to Communicate and Correct Pose Errors
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression
Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks
Stealthy Terrain-Aware Multi-Agent Active Search
Learning Inertial Odometry for Dynamic Legged Robot State Estimation
A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning
Incremental learning of EMG-based control commands using Gaussian Processes
Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing
Fleet Active Learning: A Submodular Maximization Approach
Probably Approximately Correct Vision-Based Planning using Motion Primitives
Active Incremental Learning of Robot Movement Primitives
Combining Deep Learning and Verification for Precise Object Instance Detection
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries
Decentralized Sharing and Valuation of Fleet Robotic Data
Motion Policy Networks
Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
Self-Supervised Learning of Scene-Graph Representations for Robotic Sequential Manipulation Planning
Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction
Continuous then discrete: A recommendation for building robotic brains
Combining Optimal Control and Learning for Visual Navigation in Novel Environments
COACH: Cooperative Robot Teaching
Verified Path Following Using Neural Control Lyapunov Functions
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics
Visual Manipulation with Legs
Motion Forecasting with Unlikelihood Training in Continuous Space
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation
Discriminator-Guided Model-Based Offline Imitation Learning
Particle Filter Networks with Application to Visual Localization
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization
Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations