1.Sim2Real Transfer for Reinforcement Learning without Dynamics Randomization
Sim2Real Transfer用於無需動態隨機化的強化學習
2.Combining Compliance Control, CAD Based Localization, and a Multi-Modal Gripper for Rapid and Robust Programming of Assembly Tasks
結合了順應性控制，基於CAD的本地化和多模式抓取器，可對裝配任務進行快速而魯棒的編程
3.Model-Free, Vision-Based Object Identification and Contact Force Estimation with a Hyper-Adaptive Robotic Gripper
基於超自適應機器人抓手的無模型，基於視覺的對象識別和接觸力估計
4.KOVIS: Keypoint-Based Visual Servoing with Zero-Shot Sim-To-Real Transfer for Robotics Manipulation
KOVIS：基於關鍵點的視覺伺服系統，采用零射模擬到真實的轉移進行機器人操縱
5.Assisted Mobile Robot Teleoperation with Intent-Aligned Trajectories Via Biased Incremental Action Sampling
通過偏移增量動作采樣實現意圖對准軌跡的輔助移動機器人遙操作
6.Variable In-Hand Manipulations for Tactile-Driven Robot Hand Via CNN-LSTM
通過CNN-LSTM進行觸覺驅動的機器人手的可變手操作
7.Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks
用於工業任務的以對象為中心的操作技能的學習和排序
8.Sample-Efficient Learning for Industrial Assembly Using Qgraph-Bounded DDPG
使用Qgraph綁定DDPG進行工業裝配的高效樣本學習
9.A Learning-based Robotic Bin-picking with Flexibly Customizable Grasping Conditions
具有靈活自定義抓取條件的基於學習的機器人裝箱
10.Virtual Reality for Robots
機器人的虛擬現實
11.Multi-Instance Aware Localization for End-To-End Imitation Learning
端到端模仿學習的多實例感知本地化
12.Simultaneous Planning for Item Picking and Placing by Deep Reinforcement Learning
通過深度強化學習對物品揀選和放置進行同時計划
13.Learning the sense of touch in simulation: a sim-to-real strategy for vision-based tactile sensing
在仿真中學習觸摸感：基於視覺的觸覺感測的模擬到真實策略
14.Learning Soft Robotic Assembly Strategies from Successful and Failed Demonstrations
從成功和失敗的演示中學習軟機器人組裝策略
15.Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control
機器人聲音的解釋：在基於學習的控制中將視聽結合
16.Representation and Experience-Based Learning of Explainable Models for Robot Action Execution
機器人動作執行的可解釋模型的表示和基於經驗的學習
17.Reinforced Grounded Action Transformation for Sim-To-Real Transfer
增強的地面行動轉換，實現從模擬到真實的轉換
18.Cleaning Robot Operation Decision Based on Causal Reasoning and Attribute Learning
基於因果推理和屬性學習的清潔機器人操作決策
19.Batch Normalization Masked Sparse Autoencoder for Robotic Grasping Detection
用於機器人抓取的批處理標准化蒙版稀疏自動編碼器
20.Adaptability Preserving Domain Decomposition for Stabilizing Sim2Real Reinforcement Learning
保持Sim2Real強化學習的適應性保留域分解
21.A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU
視覺和IMU的移動機器人手臂遙操作系統
22.Affordance-Based Grasping and Manipulation in Real World Applications
實際應用中基於負擔的抓取和操作
23.Formalization of Robot Skills with Descriptive and Operational Models
具有描述性和操作性模型的機器人技能的形式化
24.Understanding Contexts Inside Robot and Human Manipulation Tasks through Vision-Language Model and Ontology System in Video Streams
通過視頻流中的視覺語言模型和本體系統了解機器人內部的上下文和人類操作任務
25.RobotVQA ' a Scene-Graph and Deep-Learning-Based Visual Question Answering System for Robot Manipulation
RobotVQA'基於場景圖和基於深度學習的機器人操作視覺問答系統
26.Learning Object Manipulation with Dexterous Hand-Arm Systems from Human Demonstration
通過人體演示學習使用靈巧的手臂系統進行對象操縱
27.Localization and Force-Feedback with Soft Magnetic Stickers for Precise Robot Manipulation
帶有軟磁貼紙的定位和力反饋功能可實現精確的機器人操縱
28.Generalizing Learned Manipulation Skills in Practice
在實踐中總結學習的操作技巧
29.Peg-In-Hole Using 3D Workpiece Reconstruction and CNN-Based Hole Detection
使用3D工件重建和基於CNN的孔檢測的釘入孔
30.robo-gym ' An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots
robo-gym'一個用於在真實和模擬機器人上進行分布式深度強化學習的開源工具包
31.The Robot As Scientist: Using Mental Simulation to Test Causal Hypotheses Extracted from Human Activities in Virtual Reality
作為科學家的機器人：使用心理模擬測試從虛擬現實中人類活動中提取的因果假設
32.Enabling Robot to Assist Human in Collaborative Assembly Using Convolutional Neural Networks
使用卷積神經網絡使機器人能夠協助人類進行協同裝配
33.Estimating Motion Codes from Demonstration Videos
從演示視頻估計運動代碼
34.Robot Learning in Mixed Adversarial and Collaborative Settings
對抗和協作環境下的機器人學習
35.Antipodal Robotic Grasping Using Generative Residual Convolutional Neural Network
生成殘差卷積神經網絡的對立機器人抓取
36.Going Cognitive: A Demonstration of the Utility of Task-General Cognitive Architectures for Adaptive Robotic Task Performance
走向認知：演示任務通用認知體系結構對自適應機器人任務執行的效用
37.Robot Learning from Demonstration with Tactile Signals for Geometry-Dependent Tasks
機器人從具有幾何相關任務的觸覺演示中學習
38.Autonomous Multi-Robot Assembly of Solar Array Modules: Experimental Analysis and Insights
太陽能陣列模塊的自主多機器人組裝：實驗分析和見解
39.Learning Constraint-Based Planning Models from Demonstrations
從演示中學習基於約束的計划模型
40.Transferring Experience from Simulation to the Real World for Precise Pick-And-Place Tasks in Highly Cluttered Scenes
將體驗從仿真轉移到現實世界，以在高度混亂的場景中進行精確的拾取和放置任務
41.Skill-based Programming Framework for Composable Reactive Robot Behaviors
基於技能的可組合反應式機器人行為編程框架
42.A Geometric Perspective on Visual Imitation Learning
視覺模仿學習的幾何視角
43.Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks
機器人工業插入任務的元強化學習
44.Telemanipulation with Chopsticks: Analyzing Human Factors in User Demonstrations
用筷子進行遙控操作：分析用戶演示中的人為因素
45.EGAD! an Evolved Grasping Analysis Dataset for Diversity and Reproducibility in Robotic Manipulation
EGAD！ 進化的抓地力分析數據集，用於機器人操縱中的多樣性和可重復性
46.Learning Motion Parameterizations of Mobile Pick and Place Actions from Observing Humans in Virtual Environments
通過在虛擬環境中觀察人類來學習移動拾取和放置動作的運動參數化
47.Task-driven Perception and Manipulation for Constrained Placement of Unknown Objects
任務驅動的感知和操縱，用於未知對象的約束放置
48.Grasping in the Wild: Learning 6DoF Closed-Loop Grasping from Low-Cost Demonstrations
在野外抓取：從低成本演示中學習6DoF閉環抓取
49.Sim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance
Sim2Real預測性：仿真中的評估是否可以預測實際性能