yusuke1997/dblp-id-title huggingface dataset:
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control
On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills
Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following
Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets
Offline Reinforcement Learning for Visual Navigation
Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy
LENS: Localization enhanced by NeRF synthesis
Learning Robotic Manipulation of Granular Media
Bayesian Generalized Kernel Inference for Terrain Traversability Mapping
Proactive Robot Assistance via Spatio-Temporal Object Modeling
Predicting Routine Object Usage for Proactive Robot Assistance
Adversarial Active Exploration for Inverse Dynamics Model Learning
ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation
Flow as the Cross-domain Manipulation Interface
Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge
DiffImpact: Differentiable Rendering and Identification of Impact Sounds
Efficient Hierarchical Robot Motion Planning Under Uncertainty and Hybrid Dynamics
A Dual Representation Framework for Robot Learning with Human Guidance
Language Conditioned Traffic Generation
Visual Imitation Made Easy
GraspSplats: Efficient Manipulation with 3D Feature Splatting
Entity Abstraction in Visual Model-Based Reinforcement Learning
SE(2)-Equivariant Pushing Dynamics Models for Tabletop Object Manipulations
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents
Transformers for One-Shot Visual Imitation
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation
TidyBot++: An Open-Source Holonomic Mobile Manipulator for Robot Learning
Learning Feasibility to Imitate Demonstrators with Different Dynamics
Learning Visual Parkour from Generated Images
Model-Based Planning with Energy-Based Models
ALOHA Unleashed: A Simple Recipe for Robot Dexterity
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion
Learning Dexterous Manipulation from Suboptimal Experts
Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR
Quasi-Newton Trust Region Policy Optimization
Policy Stitching: Learning Transferable Robot Policies
Domain Adaptation and Generalization: A Low-Complexity Approach
APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients
Visual-Locomotion: Learning to Walk on Complex Terrains with Vision
KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks
GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design Automation
Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations
GRAC: Self-Guided and Self-Regularized Actor-Critic
A3VLM: Actionable Articulation-Aware Vision Language Model
Context-Aware Replanning with Pre-Explored Semantic Map for Object Navigation
Semantic Mechanical Search with Large Vision and Language Models
CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications
Scaling Robot Policy Learning via Zero-Shot Labeling with Foundation Models
Graph network simulators can learn discontinuous, rigid contact dynamics
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
Get a Grip: Multi-Finger Grasp Evaluation at Scale Enables Robust Sim-to-Real Transfer
Learning What Information to Give in Partially Observed Domains
Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning
Learning Efficient Abstract Planning Models that Choose What to Predict
Equivariant Reinforcement Learning under Partial Observability
Gaitor: Learning a Unified Representation Across Gaits for Real-World Quadruped Locomotion
Map-Adaptive Goal-Based Trajectory Prediction
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization
Unsupervised Metric Relocalization Using Transform Consistency Loss
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation
Continuously Improving Mobile Manipulation with Autonomous Real-World RL
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds
Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments
VIRDO++: Real-World, Visuo-tactile Dynamics and Perception of Deformable Objects
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning
Distributional Depth-Based Estimation of Object Articulation Models
Asynchronous Deep Model Reference Adaptive Control
Gentle Manipulation of Tree Branches: A Contact-Aware Policy Learning Approach
Unsupervised Monocular Depth Learning in Dynamic Scenes
CALAMARI: Contact-Aware and Language conditioned spatial Action MApping for contact-RIch manipulation
Leveraging Fully Observable Policies for Learning under Partial Observability
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion
CLOUD: Contrastive Learning of Unsupervised Dynamics
Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
What Matters in Range View 3D Object Detection
Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation
Transferring Hierarchical Structures with Dual Meta Imitation Learning
Task Success Prediction for Open-Vocabulary Manipulation Based on Multi-Level Aligned Representations
ACE: A Cross-platform and visual-Exoskeletons System for Low-Cost Dexterous Teleoperation
Inferring geometric constraints in human demonstrations
PlayFusion: Skill Acquisition via Diffusion from Language-Annotated Play
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands
Few-Shot Preference Learning for Human-in-the-Loop RL
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
A User's Guide to Calibrating Robotic Simulators
EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning
Untangling Dense Knots by Learning Task-Relevant Keypoints
Towards Long-Tailed 3D Detection
Learning Transparent Reward Models via Unsupervised Feature Selection
Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation
Learning to Walk in the Real World with Minimal Human Effort
Multi-Strategy Deployment-Time Learning and Adaptation for Navigation under Uncertainty
Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks
Tuning Legged Locomotion Controllers via Safe Bayesian Optimization
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances
Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation
image2mass: Estimating the Mass of an Object from Its Image
Detect Everything with Few Examples
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes
Structural Concept Learning via Graph Attention for Multi-Level Rearrangement Planning
Scaling Safe Multi-Agent Control for Signal Temporal Logic Specifications
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks
RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks
Generalised Task Planning with First-Order Function Approximation
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
Towards Open-World Grasping with Large Vision-Language Models
DYNAMO-GRASP: DYNAMics-aware Optimization for GRASP Point Detection in Suction Grippers
Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching
Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition
Improving Behavioural Cloning with Positive Unlabeled Learning
BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment
Interactive Imitation Learning in State-Space
Learning from Demonstrations using Signal Temporal Logic
Im2Contact: Vision-Based Contact Localization Without Touch or Force Sensing
Auditing Robot Learning for Safety and Compliance during Deployment
RobotKeyframing: Learning Locomotion with High-Level Objectives via Mixture of Dense and Sparse Rewards
Learning Lyapunov-Stable Polynomial Dynamical Systems Through Imitation
OKAMI: Teaching Humanoid Robots Manipulation Skills through Single Video Imitation
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks
Towards Scale Balanced 6-DoF Grasp Detection in Cluttered Scenes
α-MDF: An Attention-based Multimodal Differentiable Filter for Robot State Estimation
STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation
Experience-Embedded Visual Foresight
Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting
Dynamic Handover: Throw and Catch with Bimanual Hands
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning
HomeRobot: Open-Vocabulary Mobile Manipulation
ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation
Influencing Towards Stable Multi-Agent Interactions
OrbitGrasp: SE(3)-Equivariant Grasp Learning
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects
Energy-Based Hindsight Experience Prioritization
Contrastive Decision Transformers
Model-Based Reinforcement Learning via Meta-Policy Optimization
Grounding Complex Natural Language Commands for Temporal Tasks in Unseen Environments
Seeing-Eye Quadruped Navigation with Force Responsive Locomotion Control
Learning Hierarchical Task Networks with Preferences from Unannotated Demonstrations
Learning Decentralized Multi-Biped Control for Payload Transport
Learning a natural-language to LTL executable semantic parser for grounded robotics
Multi-Agent Reinforcement Learning with Multi-Step Generative Models
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments
LiDARGrid: Self-supervised 3D Opacity Grid from LiDAR for Scene Forecasting
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs
A Constrained Multi-Objective Reinforcement Learning Framework
Fusing Priori and Posteriori Metrics for Automatic Dataset Annotation of Planar Grasping
One Thousand and One Hours: Self-driving Motion Prediction Dataset
Learning an Expert Skill-Space for Replanning Dynamic Quadruped Locomotion over Obstacles
Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration
Stein Variational Model Predictive Control
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning
Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments
ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data
Leveraging Mutual Information for Asymmetric Learning under Partial Observability
Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability
VIOLA: Object-Centric Imitation Learning for Vision-Based Robot Manipulation
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
Learning 6-DoF Grasping and Pick-Place Using Attention Focus
Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control
My House, My Rules: Learning Tidying Preferences with Graph Neural Networks
Provably Robust Blackbox Optimization for Reinforcement Learning
Scalable Deep Kernel Gaussian Process for Vehicle Dynamics in Autonomous Racing
Guided Imitation of Task and Motion Planning
Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation
MBC: Multi-Brain Collaborative Control for Quadruped Robots
Robots on Demand: A Democratized Robotics Research Cloud
General In-hand Object Rotation with Vision and Touch
A System for General In-Hand Object Re-Orientation
Learning Interactively to Resolve Ambiguity in Reference Frame Selection
Imitating Task and Motion Planning with Visuomotor Transformers
HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
Learning a Decentralized Multi-Arm Motion Planner
Opportunistic Active Learning for Grounding Natural Language Descriptions
Learning Neural Parsers with Deterministic Differentiable Imitation Learning
ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation
Motivating Physical Activity via Competitive Human-Robot Interaction
Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models
HUM3DIL: Semi-supervised Multi-modal 3D HumanPose Estimation for Autonomous Driving
Learning under Misspecified Objective Spaces
UniFolding: Towards Sample-efficient, Scalable, and Generalizable Robotic Garment Folding
RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning
SCAPE: Learning Stiffness Control from Augmented Position Control Experiences
Neural Attention Field: Emerging Point Relevance in 3D Scenes for One-Shot Dexterous Grasping
RAP: Risk-Aware Prediction for Robust Planning
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback
DextrAH-G: Pixels-to-Action Dexterous Arm-Hand Grasping with Geometric Fabrics
A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation
Language-Conditioned Path Planning
Compositional Diffusion-Based Continuous Constraint Solvers
Understanding the World Through Action
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving
Fast Residual Forests: Rapid Ensemble Learning for Semantic Segmentation
Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement
Chaining Behaviors from Data with Model-Free Reinforcement Learning
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields
Single-Shot Scene Reconstruction
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations
Equivariant Motion Manifold Primitives
Adapting Neural Models with Sequential Monte Carlo Dropout
Toward General Object-level Mapping from Sparse Views with 3D Diffusion Priors
MultiPoint: Cross-spectral registration of thermal and optical aerial imagery
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models
Learning from My Partner's Actions: Roles in Decentralized Robot Teams
Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles
Learning Reusable Manipulation Strategies
Frequency based Semantic Consistency Groups in Object Detection
Reversible Data Hiding Method based on CSD Data Representation
5G Network Slice Scalability Based on Management Data Analytics Function (MDAF)
Multi-view Community Detection in Facebook Public Pages
Using Classification Algorithms to Predict Taiwan Stock Market - A Case Study of Taiwan Index Futures
String Editing Under Pattern Constraints
Development of Personnel Epidemic Prevention Monitoring Access Control System
Study of Coronavirus Impact on Parisian Population from April to June using Twitter and Text Mining Approach
Publicly Verifiable Proofs of Data Replication and Retrievability for Cloud Storage
A Handover Prediction Mechanism Based on Mobility in LTE-A
egoStellar: Visual Analysis of Anomalous Communication Behaviors from Egocentric Perspective
Smart Harvesting based on Image Processing
PerfNetRT: Platform-Aware Performance Modeling for Optimized Deep Neural Networks
Study on time synchronization algorithm for structural health monitoring based on wireless sensor networks
Design and Evaluation of Hybrid Wired and Wireless Sensor Networks with Cloud Services for Monitoring of Early-Stage Environmental Corrosion
A Survey on Constellation Routing Methods in 6G Non-Terrestrial Networks
Tube Inner Circumference State Classification Optimization by Using Artificial Neural Networks, Random Forest and Support Vector Machines Algorithms
CAA-Net: Class-Aware Attention Network for Selective Target Label Salient Object Detection
A Novel SVM Based Multi-Facet Ranking Method for Topic Specific Web Pages
Good characterizations and linear time recognition for 2-probe block graphs
Fast CU Partition Algorithm Based on Rate-Distortion Variation in HEVC
Cloud Computing for Intelligent Information System: Large Scale Video Analysis for Long-Term Monitoring of Coral Fishes
A Weighted Threshold Visual Cryptography
Android Malware Classifier Combining Permissions and API Features to Face Model Drifting
A Novel Parallel Deduplication and Noise Reduction Method for Vertical Search Engine
Interactive augmented reality system for supporting museum guided instruction
User-Managed Access Delegation for Blockchain-driven IoT Services
A Real-Time Image Contrast Enhancement Technique for Medical Usage
An Obstruction-Check Approach to Mining Closed Sequential Patterns in Data Streams
Secure File Transfer Protocol for Named Data Networks Supporting Homomorphic Computations
The Anomaly Detection Mechanism Using Extreme Learning Machine for Service Function Chaining
The Mobile Edge Computing (MEC)-based Vehicle to Infrastructure (V2I) Data Offloading from Cellular Network to VANET using the Delay-Constrained Computing Scheme
Automatically Categorizing Blog Articles Using Ontology Tree Built by DBpedia
Finding Periodicity of Subflows in SDN-based IoT
Deep Learning Approaches with Attention Mechanisms for Go Strength Imitation and Style Recognition
A 2-approximation algorithm for the clustered minimum routing cost tree problem
Design and Implement Adaptive Tree Topology Mechanism For Wi-Fi Wireless Network
A Low-Memory-Access Flexible Architecture for FFT
An Enhancement on Fault Detection for Imbalanced Data in Industrial Chiller Systems
Auto-scaling in Kubernetes-Based Fog Computing Platform
Analyzing Abstract Factory and Strategy Design Patterns using Design Structure Matrix: A Role-Playing Game Case
Measuring Strength of Coupling between Java Classes
A Survey of Intelligent Video Surveillance Systems: History, Applications and Future
Enhanced OpenStack Cloud for Network Function Virtualization
Establish Controllable Process Performance Model for Software Cost Prediction and Management in Software Development
Content-aware Stereoscopic Image Retargeting Using Non-homogeneous Warping
A New Energy-efficient Time Synchronization Algorithm
Accelerated Parallel Based Distance Calculations for Live-Cell Time-Lapse Images
An Effective Group Communications in Hybrid VANET
The Risk of Industrial Control System Programmable Logic Controller Default Configurations
Analysis of Voice Styles Using i-Vector Features
NFC Facility Inventory Control and Checking System
Load Balancing and Multicasting Using the Extended Dijkstra's Algorithm in Software Defined Networking
SSOV: A Single Sign-on Protocol for Accessing Vehicular Application Services with the Support of Secret Credential Management System
Analysis of exercise ventilation with autoregressive model and Hilbert-Huang transform
A Diagonal-Based Algorithm for the Constrained Longest Common Subsequence Problem
Approximate String Matching Problem under Non-Overlapping Inversion Distance
Preserving Collusion-Free and Traceability in Car-Sharing System Based on Blockchain
Mobile Literacy: - Navigating New Learning Opportunities and Obligations
Locating Wavelet Extrema for Henry-based Fingerprint Core Point Detection
Missing Value Imputation on Multiple Measurements for Prediction of Liver Cancer Recurrence: A Comparative Study
Forecasting the Impacts of Articles and Authors on the Social Forum during Emergencies
International Computer Symposium, ICS 2024, Taipei, Taiwan, October 24-26, 2024
Difficulty-Aware Mixup for Replay-based Continual Learning
A Secure User Authenticated Scheme in Intelligent Manufacturing System
Advancing Data Privacy in Semiconductor Manufacturing: Thumbnail Preserving Encryption for CycleGAN-Processed Wafer Images
Universal Forgery on Shen et al.'s Linkable and Convertible ID-based Ring Signature Scheme
New Trends in Computer Technologies and Applications - 25th International Computer Symposium, ICS 2022, Taoyuan, Taiwan, December 15-17, 2022, Proceedings
An NFC-driven Home Automation Framework: an Integration of WSN, Social Networks and Cloud Computing
Optimization of Downlink Bandwidth Allocation for Energy Efficiency over OFDMA Wireless Networks
Feature Selection for Malicious Traffic Detection with Machine Learning
2D to 3D Video Conversion via Depth Inference
Graph-Based Temporal Attention for Coronary Artery Disease Prediction Using Electronic Health Records
A Distributed PTX Compilation and Execution System on Hybrid CPU/GPU Clusters
A Dual-Camera Tracking Scheme with Object Information Hiding
Recognition and Counting of Motorcycles by Fusing Support Vector Machine and Deep Learning
Query Regrouping Problem on Tree Structure for GPUs Accelerated Platform
Design of Hypervisor-based Integrated Intrusion Detection System in Cloud Computing Environment
Anomaly Detection in Hadoop Clusters Using PCA and DBSCAN
Multi-Argument Fuzzing by Reinforcement Learning
Analysis of DNA Methylation Biomarkers through Liquid Biopsies for Early Breast Cancer Detection
A Hybrid Methodology of Effective Text-Similarity Evaluation
Micro-grid Design Modeling and Prototyping
Predicting the Japanese Yen to US Dollar Exchange Rate Based on Machine Learning Models
A Case Study on Experiment Site Selection for PV Energy Generation Forecast
Design of Proxy Signature Schemes Using Self-Certified Public Keys from Pairings
Anti-screenshot Watermarking Algorithm About Archives Image Based on Deep Learning Model
An improved method for circle detection
A Security Assessment Environment and Process Design for Smart Meter Vendor Production Line
A Multi-lingual Management Process for Software Interface Consistency
Incorporating Prior Knowledge by Selective Context Features to Enhance Topic Coherence
A Biometric Entrance Guard Control System for Improving the Entrance Security of Intelligent Rental Housing
Fast Seriation of Multiple Homogeneous-content Videos Using Audio-visual Features
A novel Scheduling Algorithm applied to the Component Carrier Selection for Femtocell in Wireless Communication
An Architecture for Mobile App and Cloud Service Integration
Switched Capacitor Low-Pass Filter Chip Design for LTE Wireless Communication and Mobile Computing Application
An Enhanced Pre-processing and Nonlinear Regression Based Approach for Failure Detection of PV System
Prostate Segmentation and Volume Estimation in MRI
Cryptanalysis on Two Pairing-Free Ciphertext-Policy Attribute-Based Encryption Schemes
The MuTube Dataset for Music Listening History Retrieval and Recommendation System
Real-Time Intentional Eye Blink Detection Using Rhombus Identification
Exploiting Third-party SDK Sensitive Data Leakage
Using a Genetic Model for Asset Allocation in Stock Investment
The Bread Recognition System with Logistic Regression
Inception Network-Based Weather Image Classification with Pre-filtering Process
BitTorrent-Based P2P Locality-Awareness File Sharing over Software-defined NG-PON2