Conferences · eligible papers
ICRA
2022–2026 LIVE
2022 · 931 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。
- Human-Guided Motion Planning in Partially Observable Environments
日本大学: 関与なし(対象大学)
- Human-Robot Shared Control for Surgical Robot Based on Context-Aware Sim-to-Real Adaptation
日本大学: 関与なし(対象大学)
- Humanoid Arm Motion Planning for Improved Disturbance Recovery Using Model Hierarchy Predictive Control
日本大学: 関与なし(対象大学)
- Hybrid Event Shaping to Stabilize Periodic Hybrid Orbits
日本大学: 関与なし(対象大学)
- Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments
日本大学: 関与なし(対象大学)
- Hybrid Physical Metric For 6-DoF Grasp Pose Detection
日本大学: 関与なし(対象大学)
- Hydraulic Servo Booster for Serially Configured Modular Robots
日本大学: 立命館大学
- Hydraulically Actuated Soft Tubular Gripper
日本大学: 関与なし(対象大学)
- I Know What You Draw: Learning Grasp Detection Conditioned on a Few Freehand Sketches
日本大学: 関与なし(対象大学)
- I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames
日本大学: 関与なし(対象大学)
- IPC-GraspSim: Reducing the Sim2Real Gap for Parallel-Jaw Grasping with the Incremental Potential Contact Model
日本大学: 関与なし(対象大学)
- IPS300+: a Challenging multi-modal data sets for Intersection Perception System
日本大学: 関与なし(対象大学)
- Immersive Virtual Walking System Using an Avatar Robot
日本大学: 東北大学
- Impact Planning and Pre-configuration based on Hierarchical Quadratic Programming
日本大学: 関与なし(対象大学)
- Implicit Differential Dynamic Programming
日本大学: 関与なし(対象大学)
- Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning
日本大学: 関与なし(対象大学)
- Implicit LiDAR Network: LiDAR Super-Resolution via Interpolation Weight Prediction
日本大学: 関与なし(対象大学)
- Important Object Identification with Semi-Supervised Learning for Autonomous Driving
日本大学: 関与なし(対象大学)
- Improved Kalman-Particle Kernel Filter on Lie Groups Applied to Angles-Only UAV Navigation
日本大学: 関与なし(対象大学)
- Improved Soft Duplicate Detection in Search-Based Motion Planning
日本大学: 関与なし(対象大学)
- Improved State Propagation through AI-based Pre-processing and Down-sampling of High-Speed Inertial Data
日本大学: 関与なし(対象大学)
- Improved Task Planning through Failure Anticipation in Human-Robot Collaboration
日本大学: 関与なし(対象大学)
- Improving Haptic Exploration of Object Shape by Discovering Symmetries
日本大学: 関与なし(対象大学)
- Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning
日本大学: 関与なし(対象大学)
- Improving Standing Balance Performance through the Assistance of a Mobile Collaborative Robot
日本大学: 関与なし(対象大学)
- Improving the Feasibility of DS-based Collision Avoidance Using Non-Linear Model Predictive Control
日本大学: 関与なし(対象大学)
- Incorporating Rich Social Interactions Into MDPs
日本大学: 関与なし(対象大学)
- Incremental Abstraction in Distributed Probabilistic SLAM Graphs
日本大学: 関与なし(対象大学)
- Incremental Few-Shot Object Detection for Robotics
日本大学: 関与なし(対象大学)
- Incremental Learning for Enhanced Personalization of Autocomplete Teleoperation
日本大学: 関与なし(対象大学)
- Indoor Localization for Quadrotors using Invisible Projected Tags
日本大学: 関与なし(対象大学)
- Informative Planning for Worst-Case Error Minimisation in Sparse Gaussian Process Regression
日本大学: 関与なし(対象大学)
- Informative Planning in the Presence of Outliers
日本大学: 関与なし(対象大学)
- Infrastructure-Enabled Autonomy: An Attention Mechanism for Occlusion Handling
日本大学: 関与なし(対象大学)
- InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input
日本大学: 関与なし(対象大学)
- Inside LineRanger: Mechanism Design to Optimize Operation and Performances of Powerline Inspection Robot
日本大学: 関与なし(対象大学)
- Instinctive Real-time sEMG-based Control of Prosthetic Hand with Reduced Data Acquisition and Embedded Deep Learning Training
日本大学: 関与なし(対象大学)
- Insulator Aiming Using Multi-Feature Fusion-Based Visual Servo Control for Washing Drone
日本大学: 関与なし(対象大学)
- Integrated Learning of Robot Motion and Sentences: Real-Time Prediction of Grasping Motion and Attention based on Language Instructions
日本大学: 早稲田大学
- Integrating Deep Reinforcement and Supervised Learning to Expedite Indoor Mapping
日本大学: 関与なし(対象大学)
- Integrating Point and Line Features for Visual-Inertial Initialization
日本大学: 関与なし(対象大学)
- Interactive Human-in-the-loop Coordination of Manipulation Skills Learned from Demonstration
日本大学: 関与なし(対象大学)
- Interactive Robotic Grasping with Attribute-Guided Disambiguation
日本大学: 関与なし(対象大学)
- Interleaving Monte Carlo Tree Search and Self-Supervised Learning for Object Retrieval in Clutter
日本大学: 関与なし(対象大学)
- Interval-based Visual-Inertial LiDAR SLAM with Anchoring Poses
日本大学: 関与なし(対象大学)
- Intrinsically Motivated Self-supervised Learning in Reinforcement Learning
日本大学: 関与なし(対象大学)
- Introducing RH5 Manus: A Powerful Humanoid Upper Body Design for Dynamic Movements
日本大学: 関与なし(対象大学)
- Intrusion Distance and Reaction Time Estimation for Safe and Efficient Industrial Robots
日本大学: 関与なし(対象大学)
- Is it Worth to Reason about Uncertainty in Occupancy Grid Maps during Path Planning?
日本大学: 関与なし(対象大学)
- Iterative Mesh Modification Planning: A new Method for Automatic Disassembly Planning of Complex Industrial Components
日本大学: 関与なし(対象大学)
- JST: Joint Self-training for Unsupervised Domain Adaptation on 2D&3D Object Detection
日本大学: 関与なし(対象大学)
- Jerk Constrained Velocity Planning for an Autonomous Vehicle: Linear Programming Approach
日本大学: 東京大学
- Joint Communication and Motion Planning for Cobots
日本大学: 関与なし(対象大学)
- Joint State and Input Estimation of Agent Based on Recursive Kalman Filter Given Prior Knowledge
日本大学: 関与なし(対象大学)
- KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long- Term Trajectory Prediction
日本大学: 関与なし(対象大学)
- KHAOS: a Kinematic Human Aware Optimization-based System for Reactive Planning of Flying-Coworker
日本大学: 関与なし(対象大学)
- Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation
日本大学: 関与なし(対象大学)
- Kinematic Structure Estimation of Arbitrary Articulated Rigid Objects for Event Cameras
日本大学: 関与なし(対象大学)
- Kinematic Transfer Learning of Sampling Distributions for Manipulator Motion Planning
日本大学: 関与なし(対象大学)
- Kinematics Learning of Massive Heterogeneous Serial Robots
日本大学: 関与なし(対象大学)
- KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic environments
日本大学: 関与なし(対象大学)
- KoopNet: Joint Learning of Koopman Bilinear Models and Function Dictionaries with Application to Quadrotor Trajectory Tracking
日本大学: 関与なし(対象大学)
- L1Adaptive Augmentation for Geometric Tracking Control of Quadrotors
日本大学: 関与なし(対象大学)
- LADC: Learning-Based Anti-Disturbance Control for Washing Drone
日本大学: 関与なし(対象大学)
- LB-L2L-Calib: Accurate and Robust Extrinsic Calibration for Multiple 3D LiDARs with Long Baseline and Large Viewpoint Difference
日本大学: 関与なし(対象大学)
- LEGS: Learning Efficient Grasp Sets for Exploratory Grasping
日本大学: 関与なし(対象大学)
- LLOL: Low-Latency Odometry for Spinning Lidars
日本大学: 関与なし(対象大学)
- LT-mapper: A Modular Framework for LiDAR-based Lifelong Mapping
日本大学: 関与なし(対象大学)
- LTSR: Long-term Semantic Relocalization based on HD Map for Autonomous Vehicles
日本大学: 関与なし(対象大学)
- Large-angle and High-speed Trajectory Tracking Control of a Quadrotor UAV based on Reachability
日本大学: 関与なし(対象大学)
- Large-scale Network Traffic Prediction With LSTM and Temporal Convolutional Networks
日本大学: 関与なし(対象大学)
- Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
日本大学: 関与なし(対象大学)
- Learn to Grasp with Less Supervision: A Data-Efficient Maximum Likelihood Grasp Sampling Loss
日本大学: 関与なし(対象大学)
- Learning 6-DoF Object Poses to Grasp Category-Level Objects by Language Instructions
日本大学: 関与なし(対象大学)
- Learning Controller Gains on Bipedal Walking Robots via User Preferences
日本大学: 関与なし(対象大学)
- Learning Crowd-Aware Robot Navigation from Challenging Environments via Distributed Deep Reinforcement Learning
日本大学: 関与なし(対象大学)
- Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets
日本大学: 関与なし(対象大学)
- Learning Efficient and Robust Multi-Modal Quadruped Locomotion: A Hierarchical Approach
日本大学: 関与なし(対象大学)
- Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning
日本大学: 関与なし(対象大学)
- Learning Friction Model for Magnet-Actuated Tethered Capsule Robot
日本大学: 関与なし(対象大学)
- Learning Insertion Primitives with Discrete-Continuous Hybrid Action Space for Robotic Assembly Tasks
日本大学: 関与なし(対象大学)
- Learning Interactive Driving Policies via Data-driven Simulation
日本大学: 関与なし(対象大学)
- Learning Latent Actions without Human Demonstrations
日本大学: 関与なし(対象大学)
- Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects
日本大学: 関与なし(対象大学)
- Learning Local Event-based Descriptor for Patch-based Stereo Matching
日本大学: 関与なし(対象大学)
- Learning Model Predictive Control for Quadrotors
日本大学: 関与なし(対象大学)
- Learning Multi-Task Transferable Rewards via Variational Inverse Reinforcement Learning
日本大学: 関与なし(対象大学)
- Learning Multi-step Robotic Manipulation Policies from Visual Observation of Scene and Q-value Predictions of Previous Action
日本大学: 関与なし(対象大学)
- Learning Object Relations with Graph Neural Networks for Target-Driven Grasping in Dense Clutter
日本大学: 関与なし(対象大学)
- Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation
日本大学: 関与なし(対象大学)
- Learning Periodic Tasks from Human Demonstrations
日本大学: 関与なし(対象大学)
- Learning Purely Tactile In-Hand Manipulation with a Torque-Controlled Hand
日本大学: 関与なし(対象大学)
- Learning Scalable Policies over Graphs for Multi-Robot Task Allocation using Capsule Attention Networks
日本大学: 関与なし(対象大学)
- Learning Sensorimotor Primitives of Sequential Manipulation Tasks from Visual Demonstrations
日本大学: 関与なし(対象大学)
- Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes
日本大学: 関与なし(対象大学)
- Learning Stable Dynamical Systems for Visual Servoing
日本大学: 関与なし(対象大学)
- Learning Visual Shape Control of Novel 3D Deformable Objects from Partial-View Point Clouds
日本大学: 関与なし(対象大学)
- Learning from Imperfect Demonstrations via Adversarial Confidence Transfer
日本大学: 関与なし(対象大学)
- Learning to Detect Slip with Barometric Tactile Sensors and a Temporal Convolutional Neural Network
日本大学: 関与なし(対象大学)
- Learning to Fill the Seam by Vision: Sub-millimeter Peg-in-hole on Unseen Shapes in Real World
日本大学: 関与なし(対象大学)