Conferences · eligible papers
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2022–2026 LIVE
2023 · 112 papers
このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。
- A Correct-and-Certify Approach to Self-Supervise Object Pose Estimators via Ensemble Self-Training
日本大学: 関与なし(対象大学)
- A Sampling-Based Approach for Heterogeneous Coalition Scheduling with Temporal Uncertainty
日本大学: 関与なし(対象大学)
- Active Collaborative Localization in Heterogeneous Robot Teams
日本大学: 関与なし(対象大学)
- Active Velocity Estimation using Light Curtains via Self-Supervised Multi-Armed Bandits
日本大学: 関与なし(対象大学)
- Adaptive Tracking Control of Dielectric Elastomer Soft Actuators with Viscoelastic Hysteresis Compensation
日本大学: 関与なし(対象大学)
- An Efficient Multi-solution Solver for the Inverse Kinematics of 3-Section Constant-Curvature Robots
日本大学: 関与なし(対象大学)
- AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System
日本大学: 関与なし(対象大学)
- Autonomous Justification for Enabling Explainable Decision Support in Human-Robot Teaming
日本大学: 関与なし(対象大学)
- Autonomous Navigation, Mapping and Exploration with Gaussian Processes
日本大学: 関与なし(対象大学)
- Bandit Submodular Maximization for Multi-Robot Coordination in Unpredictable and Partially Observable Environments
日本大学: 関与なし(対象大学)
- Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets
日本大学: 関与なし(対象大学)
- Beyond Flat GelSight Sensors: Simulation of Optical Tactile Sensors of Complex Morphologies for Sim2Real Learning
日本大学: 関与なし(対象大学)
- Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics
日本大学: 関与なし(対象大学)
- CCIL: Context-conditioned imitation learning for urban driving
日本大学: 関与なし(対象大学)
- CHSEL: Producing Diverse Plausible Pose Estimates from Contact and Free Space Data
日本大学: 関与なし(対象大学)
- CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory
日本大学: 関与なし(対象大学)
- Causal Policy Gradient for Whole-Body Mobile Manipulation
日本大学: 関与なし(対象大学)
- Centralized Model Predictive Control for Collaborative Loco-Manipulation
日本大学: 関与なし(対象大学)
- Cherry-Picking with Reinforcement Learning
日本大学: 関与なし(対象大学)
- Co-optimization of Morphology and Behavior of Modular Robots via Hierarchical Deep Reinforcement Learning
日本大学: 関与なし(対象大学)
- CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation
日本大学: 関与なし(対象大学)
- ConceptFusion: Open-set multimodal 3D mapping
日本大学: 関与なし(対象大学)
- Concurrent Constrained Optimization of Unknown Rewards for Multi-Robot Task Allocation
日本大学: 関与なし(対象大学)
- Convex Geometric Motion Planning on Lie Groups via Moment Relaxation
日本大学: 関与なし(対象大学)
- Decentralization and Acceleration Enables Large-Scale Bundle Adjustment
日本大学: 関与なし(対象大学)
- Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
日本大学: 関与なし(対象大学)
- Demonstrating A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning
日本大学: 関与なし(対象大学)
- Demonstrating Arena-Web: A Web-based Development and Benchmarking Platform for Autonomous Navigation Approaches
日本大学: 関与なし(対象大学)
- Demonstrating Large Language Models on Robots
日本大学: 関与なし(対象大学)
- Demonstrating Large-Scale Package Manipulation via Learned Metrics of Pick Success
日本大学: 関与なし(対象大学)
- Demonstrating Mobile Manipulation in the Wild: A Metrics-Driven Approach
日本大学: 関与なし(対象大学)
- Demonstrating RFUniverse: A Multiphysics Simulation Platform for Embodied AI
日本大学: 関与なし(対象大学)
- DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training
日本大学: 関与なし(対象大学)
- Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
日本大学: 関与なし(対象大学)
- Distributed Hierarchical Distribution Control for Very-Large-Scale Clustered Multi-Agent Systems
日本大学: 関与なし(対象大学)
- Dynamic-Resolution Model Learning for Object Pile Manipulation
日本大学: 関与なし(対象大学)
- ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes
日本大学: 関与なし(対象大学)
- Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors
日本大学: 関与なし(対象大学)
- Efficient volumetric mapping of multi-scale environments using wavelet-based compression
日本大学: 関与なし(対象大学)
- Enabling Team of Teams: A Trust Inference and Propagation (TIP) Model in Multi-Human Multi-Robot Teams
日本大学: 関与なし(対象大学)
- Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement
日本大学: 関与なし(対象大学)
- Fast Monocular Visual-Inertial Initialization Leveraging Learned Single-View Depth
日本大学: 関与なし(対象大学)
- Fast Traversability Estimation for Wild Visual Navigation
日本大学: 関与なし(対象大学)
- Few-shot Adaptation for Manipulating Granular Materials Under Domain Shift
日本大学: 関与なし(対象大学)
- Follow my Advice: Assume-Guarantee Approach to Task Planning with Human in the Loop
日本大学: 関与なし(対象大学)
- FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation
日本大学: 関与なし(対象大学)
- G*: A New Approach to Bounding Curvature Constrained Shortest Paths through Dubins Gates
日本大学: 関与なし(対象大学)
- Gait design for limbless obstacle aided locomotion using geometric mechanics
日本大学: 関与なし(対象大学)
- GenAug: Retargeting behaviors to unseen situations via Generative Augmentation
日本大学: 関与なし(対象大学)
- Goal-Conditioned Imitation Learning using Score-based Diffusion Policies
日本大学: 関与なし(対象大学)
- GranularGym: High Performance Simulation for Robotic Tasks with Granular Materials
日本大学: 関与なし(対象大学)
- Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility
日本大学: 関与なし(対象大学)
- HDVIO: Improving Localization and Disturbance Estimation with Hybrid Dynamics VIO
日本大学: 関与なし(対象大学)
- Hindsight States: Blending Sim & Real Task Elements for Efficient Reinforcement Learning
日本大学: 関与なし(対象大学)
- How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers
日本大学: 関与なし(対象大学)
- Incremental Nonlinear Dynamic Inversion based Optical Flow Control for Flying Robots: An Efficient Data-driven Approach
日本大学: 関与なし(対象大学)
- IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality
日本大学: 関与なし(対象大学)
- InstaLoc: One-shot Global Lidar Localisation in Indoor Environments through Instance Learning
日本大学: 関与なし(対象大学)
- Integrated Object Deformation and Contact Patch Estimation from Visuo-Tactile Feedback
日本大学: 関与なし(対象大学)
- Investigating the Impact of Experience on a User's Ability to Perform Hierarchical Abstraction
日本大学: 関与なし(対象大学)
- LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning
日本大学: 関与なし(対象大学)
- Language-Driven Representation Learning for Robotics
日本大学: 関与なし(対象大学)
- Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
日本大学: 関与なし(対象大学)
- Learning and Adapting Agile Locomotion Skills by Transferring Experience
日本大学: 関与なし(対象大学)
- Learning-Free Grasping of Unknown Objects Using Hidden Superquadrics
日本大学: 関与なし(対象大学)
- Local object crop collision network for efficient simulation of non-convex objects in GPU-based simulators
日本大学: 関与なし(対象大学)
- Metric-Free Exploration for Topological Mapping by Task and Motion Imitation in Feature Space
日本大学: 関与なし(対象大学)
- Motion Planning (In)feasibility Detection using a Prior Roadmap via Path and Cut Search
日本大学: 関与なし(対象大学)
- MultiSCOPE: Disambiguating In-Hand Object Poses with Proprioception and Tactile Feedback
日本大学: 関与なし(対象大学)
- NeuSE: Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects
日本大学: 関与なし(対象大学)
- Non-Euclidean Motion Planning with Graphs of Geodesically-Convex Sets
日本大学: 関与なし(対象大学)
- On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis
日本大学: 関与なし(対象大学)
- One Policy to Dress Them All: Learning to Dress People with Diverse Poses and Garments
日本大学: 関与なし(対象大学)
- PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection
日本大学: 関与なし(対象大学)
- POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments
日本大学: 関与なし(対象大学)
- Path Planning for Multiple Tethered Robots Using Topological Braids
日本大学: 関与なし(対象大学)
- Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials
日本大学: 関与なし(対象大学)
- Precise Object Sliding with Top Contact via Asymmetric Dual Limit Surfaces
日本大学: 関与なし(対象大学)
- Predefined-Time Convergent Motion Control for Heterogeneous Continuum Robots
日本大学: 関与なし(対象大学)
- Progressive Learning for Physics-informed Neural Motion Planning
日本大学: 関与なし(対象大学)
- RADIUS: Risk-Aware, Real-Time, Reachability-Based Motion Planning
日本大学: 関与なし(対象大学)
- ROSE: Rotation-based Squeezing Robotic Gripper toward Universal Handling of Objects
日本大学: 北陸先端科学技術大学院大学
- RT-1: Robotics Transformer for Real-World Control at Scale
日本大学: 関与なし(対象大学)
- Reachability-based Trajectory Design with Neural Implicit Safety Constraints
日本大学: 関与なし(対象大学)
- Reconfigurable Robot Control Using Flexible Coupling Mechanisms
日本大学: 関与なし(対象大学)
- RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects
日本大学: 関与なし(対象大学)
- Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment
日本大学: 関与なし(対象大学)
- Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models
日本大学: 関与なし(対象大学)
- Robotic Table Tennis: A Case Study into a High Speed Learning System
日本大学: 関与なし(対象大学)
- Robust Safety under Stochastic Uncertainty with Discrete-Time Control Barrier Functions
日本大学: 関与なし(対象大学)
- Robust and Versatile Bipedal Jumping Control through Reinforcement Learning
日本大学: 関与なし(対象大学)
- Rotating without Seeing: Towards In-hand Dexterity through Touch
日本大学: 関与なし(対象大学)
- SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering
日本大学: 関与なし(対象大学)
- SAR: Generalization of Physiological Dexterity via Synergistic Action Representation
日本大学: 関与なし(対象大学)
- Sampling-based Exploration for Reinforcement Learning of Dexterous Manipulation
日本大学: 関与なし(対象大学)
- Scaling Robot Learning with Semantically Imagined Experience
日本大学: 関与なし(対象大学)
- Self-Supervised Lidar Place Recognition in Overhead Imagery Using Unpaired Data
日本大学: 関与なし(対象大学)
- Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction
日本大学: 関与なし(対象大学)
- Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features
日本大学: 関与なし(対象大学)
- Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning
日本大学: 関与なし(対象大学)