1.Sim2Real Transfer for Reinforcement Learning without Dynamics Randomization
Sim2Real Transfer用于无需动态随机化的强化学习
2.Combining Compliance Control, CAD Based Localization, and a Multi-Modal Gripper for Rapid and Robust Programming of Assembly Tasks
结合了顺应性控制，基于CAD的本地化和多模式抓取器，可对装配任务进行快速而鲁棒的编程
3.Model-Free, Vision-Based Object Identification and Contact Force Estimation with a Hyper-Adaptive Robotic Gripper
基于超自适应机器人抓手的无模型，基于视觉的对象识别和接触力估计
4.KOVIS: Keypoint-Based Visual Servoing with Zero-Shot Sim-To-Real Transfer for Robotics Manipulation
KOVIS：基于关键点的视觉伺服系统，采用零射模拟到真实的转移进行机器人操纵
5.Assisted Mobile Robot Teleoperation with Intent-Aligned Trajectories Via Biased Incremental Action Sampling
通过偏移增量动作采样实现意图对准轨迹的辅助移动机器人遥操作
6.Variable In-Hand Manipulations for Tactile-Driven Robot Hand Via CNN-LSTM
通过CNN-LSTM进行触觉驱动的机器人手的可变手操作
7.Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks
用于工业任务的以对象为中心的操作技能的学习和排序
8.Sample-Efficient Learning for Industrial Assembly Using Qgraph-Bounded DDPG
使用Qgraph绑定DDPG进行工业装配的高效样本学习
9.A Learning-based Robotic Bin-picking with Flexibly Customizable Grasping Conditions
具有灵活自定义抓取条件的基于学习的机器人装箱
10.Virtual Reality for Robots
机器人的虚拟现实
11.Multi-Instance Aware Localization for End-To-End Imitation Learning
端到端模仿学习的多实例感知本地化
12.Simultaneous Planning for Item Picking and Placing by Deep Reinforcement Learning
通过深度强化学习对物品拣选和放置进行同时计划
13.Learning the sense of touch in simulation: a sim-to-real strategy for vision-based tactile sensing
在仿真中学习触摸感：基于视觉的触觉感测的模拟到真实策略
14.Learning Soft Robotic Assembly Strategies from Successful and Failed Demonstrations
从成功和失败的演示中学习软机器人组装策略
15.Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control
机器人声音的解释：在基于学习的控制中将视听结合
16.Representation and Experience-Based Learning of Explainable Models for Robot Action Execution
机器人动作执行的可解释模型的表示和基于经验的学习
17.Reinforced Grounded Action Transformation for Sim-To-Real Transfer
增强的地面行动转换，实现从模拟到真实的转换
18.Cleaning Robot Operation Decision Based on Causal Reasoning and Attribute Learning
基于因果推理和属性学习的清洁机器人操作决策
19.Batch Normalization Masked Sparse Autoencoder for Robotic Grasping Detection
用于机器人抓取的批处理标准化蒙版稀疏自动编码器
20.Adaptability Preserving Domain Decomposition for Stabilizing Sim2Real Reinforcement Learning
保持Sim2Real强化学习的适应性保留域分解
21.A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU
视觉和IMU的移动机器人手臂遥操作系统
22.Affordance-Based Grasping and Manipulation in Real World Applications
实际应用中基于负担的抓取和操作
23.Formalization of Robot Skills with Descriptive and Operational Models
具有描述性和操作性模型的机器人技能的形式化
24.Understanding Contexts Inside Robot and Human Manipulation Tasks through Vision-Language Model and Ontology System in Video Streams
通过视频流中的视觉语言模型和本体系统了解机器人内部的上下文和人类操作任务
25.RobotVQA ' a Scene-Graph and Deep-Learning-Based Visual Question Answering System for Robot Manipulation
RobotVQA'基于场景图和基于深度学习的机器人操作视觉问答系统
26.Learning Object Manipulation with Dexterous Hand-Arm Systems from Human Demonstration
通过人体演示学习使用灵巧的手臂系统进行对象操纵
27.Localization and Force-Feedback with Soft Magnetic Stickers for Precise Robot Manipulation
带有软磁贴纸的定位和力反馈功能可实现精确的机器人操纵
28.Generalizing Learned Manipulation Skills in Practice
在实践中总结学习的操作技巧
29.Peg-In-Hole Using 3D Workpiece Reconstruction and CNN-Based Hole Detection
使用3D工件重建和基于CNN的孔检测的钉入孔
30.robo-gym ' An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots
robo-gym'一个用于在真实和模拟机器人上进行分布式深度强化学习的开源工具包
31.The Robot As Scientist: Using Mental Simulation to Test Causal Hypotheses Extracted from Human Activities in Virtual Reality
作为科学家的机器人：使用心理模拟测试从虚拟现实中人类活动中提取的因果假设
32.Enabling Robot to Assist Human in Collaborative Assembly Using Convolutional Neural Networks
使用卷积神经网络使机器人能够协助人类进行协同装配
33.Estimating Motion Codes from Demonstration Videos
从演示视频估计运动代码
34.Robot Learning in Mixed Adversarial and Collaborative Settings
对抗和协作环境下的机器人学习
35.Antipodal Robotic Grasping Using Generative Residual Convolutional Neural Network
生成残差卷积神经网络的对立机器人抓取
36.Going Cognitive: A Demonstration of the Utility of Task-General Cognitive Architectures for Adaptive Robotic Task Performance
走向认知：演示任务通用认知体系结构对自适应机器人任务执行的效用
37.Robot Learning from Demonstration with Tactile Signals for Geometry-Dependent Tasks
机器人从具有几何相关任务的触觉演示中学习
38.Autonomous Multi-Robot Assembly of Solar Array Modules: Experimental Analysis and Insights
太阳能阵列模块的自主多机器人组装：实验分析和见解
39.Learning Constraint-Based Planning Models from Demonstrations
从演示中学习基于约束的计划模型
40.Transferring Experience from Simulation to the Real World for Precise Pick-And-Place Tasks in Highly Cluttered Scenes
将体验从仿真转移到现实世界，以在高度混乱的场景中进行精确的拾取和放置任务
41.Skill-based Programming Framework for Composable Reactive Robot Behaviors
基于技能的可组合反应式机器人行为编程框架
42.A Geometric Perspective on Visual Imitation Learning
视觉模仿学习的几何视角
43.Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks
机器人工业插入任务的元强化学习
44.Telemanipulation with Chopsticks: Analyzing Human Factors in User Demonstrations
用筷子进行遥控操作：分析用户演示中的人为因素
45.EGAD! an Evolved Grasping Analysis Dataset for Diversity and Reproducibility in Robotic Manipulation
EGAD！ 进化的抓地力分析数据集，用于机器人操纵中的多样性和可重复性
46.Learning Motion Parameterizations of Mobile Pick and Place Actions from Observing Humans in Virtual Environments
通过在虚拟环境中观察人类来学习移动拾取和放置动作的运动参数化
47.Task-driven Perception and Manipulation for Constrained Placement of Unknown Objects
任务驱动的感知和操纵，用于未知对象的约束放置
48.Grasping in the Wild: Learning 6DoF Closed-Loop Grasping from Low-Cost Demonstrations
在野外抓取：从低成本演示中学习6DoF闭环抓取
49.Sim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance
Sim2Real预测性：仿真中的评估是否可以预测实际性能