{"total":138,"rows":[{"id":"2506.18088","title":"RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation","created":"2025-06-22","cited_by_count":518,"area":null},{"id":"2405.05941","title":"Evaluating Real-World Robot Manipulation Policies in Simulation","created":"2024-05-09","cited_by_count":495,"area":null},{"id":"2310.13724","title":"Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots","created":"2023-10-19","cited_by_count":228,"area":null},{"id":"2502.01143","title":"ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills","created":"2025-02-03","cited_by_count":130,"area":null},{"id":"2107.00644","title":"Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation","created":"2021-07-01","cited_by_count":105,"area":null},{"id":"2406.01967","title":"DrEureka: Language Model Guided Sim-To-Real Transfer","created":"2024-06-04","cited_by_count":83,"area":null},{"id":"2106.14440","title":"VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects","created":"2021-06-28","cited_by_count":80,"area":null},{"id":"2110.03239","title":"Understanding Domain Randomization for Sim-to-real Transfer","created":"2021-10-07","cited_by_count":80,"area":null},{"id":"2111.00956","title":"Robot Learning from Randomized Simulations: A Review","created":"2021-11-01","cited_by_count":63,"area":null},{"id":"2212.08860","title":"Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning","created":"2022-12-17","cited_by_count":60,"area":null},{"id":"2405.10315","title":"TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction","created":"2024-05-16","cited_by_count":59,"area":null},{"id":"2205.03532","title":"Factory: Fast Contact for Robotic Assembly","created":"2022-05-07","cited_by_count":54,"area":null},{"id":"2104.07662","title":"Auto-Tuned Sim-to-Real Transfer","created":"2021-04-15","cited_by_count":49,"area":null},{"id":"2209.05309","title":"GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots","created":"2022-09-12","cited_by_count":48,"area":null},{"id":"2503.24361","title":"Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation","created":"2025-03-31","cited_by_count":46,"area":null},{"id":"2210.07241","title":"Visual Reinforcement Learning with Self-Supervised 3D Representations","created":"2022-10-13","cited_by_count":45,"area":null},{"id":"2210.04932","title":"NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields","created":"2022-10-10","cited_by_count":44,"area":null},{"id":"2108.09779","title":"Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger","created":"2021-08-22","cited_by_count":38,"area":null},{"id":"2204.03139","title":"DiffCloud: Real-to-Sim from Point Clouds with Differentiable Simulation and Rendering of Deformable Objects","created":"2022-04-07","cited_by_count":31,"area":null},{"id":"2305.17625","title":"Cross-Domain Policy Adaptation via Value-Guided Data Filtering","created":"2023-05-28","cited_by_count":31,"area":null},{"id":"2501.06693","title":"Vid2Sim: Realistic and Interactive Simulation from Video for Urban Navigation","created":"2025-01-12","cited_by_count":30,"area":null},{"id":"2511.04665","title":"Real-to-Sim Robot Policy Evaluation with Gaussian Splatting Simulation of Soft-Body Interactions","created":"2025-11-06","cited_by_count":30,"area":null},{"id":"2305.12127","title":"DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training","created":"2023-05-20","cited_by_count":29,"area":null},{"id":"2307.03719","title":"Polybot: Training One Policy Across Robots While Embracing Variability","created":"2023-07-07","cited_by_count":28,"area":null},{"id":"2201.08355","title":"Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees","created":"2022-01-20","cited_by_count":27,"area":null},{"id":"2203.05549","title":"Context is Everything: Implicit Identification for Dynamics Adaptation","created":"2022-03-10","cited_by_count":27,"area":null},{"id":"2409.15250","title":"ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models","created":"2024-09-23","cited_by_count":27,"area":null},{"id":"2212.04819","title":"Phone2Proc: Bringing Robust Robots Into Our Chaotic World","created":"2022-12-08","cited_by_count":26,"area":null},{"id":"2312.03673","title":"On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer","created":"2023-12-06","cited_by_count":26,"area":null},{"id":"2304.02163","title":"GINA-3D: Learning to Generate Implicit Neural Assets in the Wild","created":"2023-04-04","cited_by_count":25,"area":null},{"id":"2307.07907","title":"Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation","created":"2023-07-15","cited_by_count":25,"area":null},{"id":"2510.20808","title":"The Reality Gap in Robotics: Challenges, Solutions, and Best Practices","created":"2025-10-23","cited_by_count":24,"area":null},{"id":"2201.08434","title":"DROPO: Sim-to-Real Transfer with Offline Domain Randomization","created":"2022-01-20","cited_by_count":19,"area":null},{"id":"2207.05480","title":"Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning","created":"2022-07-12","cited_by_count":19,"area":null},{"id":"2311.01885","title":"Domain Randomization via Entropy Maximization","created":"2023-11-03","cited_by_count":19,"area":null},{"id":"2405.14853","title":"Privileged Sensing Scaffolds Reinforcement Learning","created":"2024-05-23","cited_by_count":19,"area":null},{"id":"2105.04682","title":"Value Iteration in Continuous Actions, States and Time","created":"2021-05-10","cited_by_count":18,"area":null},{"id":"2302.04903","title":"AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer","created":"2023-02-09","cited_by_count":18,"area":null},{"id":"2109.08815","title":"Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation","created":"2021-09-18","cited_by_count":17,"area":null},{"id":"2502.02705","title":"Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning","created":"2025-02-04","cited_by_count":17,"area":null},{"id":"2303.10280","title":"Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances","created":"2023-03-17","cited_by_count":16,"area":null},{"id":"2402.04580","title":"A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents","created":"2024-02-07","cited_by_count":16,"area":null},{"id":"2505.01458","title":"A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI","created":"2025-05-01","cited_by_count":16,"area":null},{"id":"2110.12997","title":"Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning","created":"2021-10-25","cited_by_count":15,"area":null},{"id":"2212.07740","title":"Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer","created":"2022-12-15","cited_by_count":14,"area":null},{"id":"2110.13052","title":"Can Q-Learning be Improved with Advice?","created":"2021-10-25","cited_by_count":13,"area":null},{"id":"2309.03315","title":"Robotic Table Tennis: A Case Study into a High Speed Learning System","created":"2023-09-06","cited_by_count":13,"area":null},{"id":"2105.13524","title":"Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture","created":"2021-05-28","cited_by_count":12,"area":null},{"id":"2104.00776","title":"Collision-Aware Target-Driven Object Grasping in Constrained Environments","created":"2021-04-01","cited_by_count":11,"area":null},{"id":"2104.14118","title":"REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in Clutter","created":"2021-04-29","cited_by_count":11,"area":null},{"id":"2112.05068","title":"A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation","created":"2021-12-09","cited_by_count":11,"area":null},{"id":"2412.01770","title":"Robot Learning with Super-Linear Scaling","created":"2024-12-02","cited_by_count":11,"area":null},{"id":"2202.08393","title":"Robust Reinforcement Learning via Genetic Curriculum","created":"2022-02-17","cited_by_count":10,"area":null},{"id":"2203.11176","title":"One After Another: Learning Incremental Skills for a Changing World","created":"2022-03-21","cited_by_count":10,"area":null},{"id":"2305.18464","title":"Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective","created":"2023-05-29","cited_by_count":10,"area":null},{"id":"2410.20357","title":"Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications","created":"2024-10-27","cited_by_count":10,"area":null},{"id":"2311.03357","title":"Exploitation-Guided Exploration for Semantic Embodied Navigation","created":"2023-11-06","cited_by_count":9,"area":null},{"id":"2102.06779","title":"Machine Learning for Mechanical Ventilation Control","created":"2021-02-12","cited_by_count":8,"area":null},{"id":"2105.12189","title":"Robust Value Iteration for Continuous Control Tasks","created":"2021-05-25","cited_by_count":8,"area":null},{"id":"2207.03333","title":"FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments","created":"2022-07-06","cited_by_count":8,"area":null},{"id":"2207.14561","title":"Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization","created":"2022-07-29","cited_by_count":8,"area":null},{"id":"2303.09597","title":"Residual Physics Learning and System Identification for Sim-to-real Transfer of Policies on Buoyancy Assisted Legged Robots","created":"2023-03-16","cited_by_count":8,"area":null},{"id":"2105.12277","title":"Learning Bipedal Robot Locomotion from Human Movement","created":"2021-05-26","cited_by_count":7,"area":null},{"id":"2110.00445","title":"Sim and Real: Better Together","created":"2021-10-01","cited_by_count":7,"area":null},{"id":"2110.00704","title":"OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation","created":"2021-10-02","cited_by_count":7,"area":null},{"id":"2110.01954","title":"Continuous-Time Fitted Value Iteration for Robust Policies","created":"2021-10-05","cited_by_count":6,"area":null},{"id":"2202.11296","title":"Reinforcement Learning in Practice: Opportunities and Challenges","created":"2022-02-23","cited_by_count":6,"area":null},{"id":"2203.10263","title":"DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting","created":"2022-03-19","cited_by_count":6,"area":null},{"id":"2404.05051","title":"Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint","created":"2024-04-07","cited_by_count":6,"area":null},{"id":"2506.06580","title":"AI Simulation by Digital Twins: Systematic Survey, Reference Framework, and Mapping to a Standardized Architecture","created":"2025-06-06","cited_by_count":6,"area":null},{"id":"2605.11928","title":"When Simulation Lies: A Sim-to-Real Benchmark and Domain-Randomized RL Recipe for Tool-Use Agents","created":"2026-05-12","cited_by_count":6,"area":null},{"id":"2103.02533","title":"Learning to Manipulate Amorphous Materials","created":"2021-03-03","cited_by_count":5,"area":null},{"id":"2104.00631","title":"Residual Model Learning for Microrobot Control","created":"2021-04-01","cited_by_count":5,"area":null},{"id":"2209.03210","title":"Real-to-Sim: Predicting Residual Errors of Robotic Systems with Sparse Data using a Learning-based Unscented Kalman Filter","created":"2022-09-07","cited_by_count":5,"area":null},{"id":"2210.07420","title":"Learning to Efficiently Plan Robust Frictional Multi-Object Grasps","created":"2022-10-13","cited_by_count":5,"area":null},{"id":"2210.08217","title":"PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale","created":"2022-10-15","cited_by_count":5,"area":null},{"id":"2303.12726","title":"Learning to Transfer In-Hand Manipulations Using a Greedy Shape Curriculum","created":"2023-03-14","cited_by_count":5,"area":null},{"id":"2312.16438","title":"Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions","created":"2023-12-27","cited_by_count":5,"area":null},{"id":"2502.08643","title":"A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards","created":"2025-02-12","cited_by_count":5,"area":null},{"id":"2609.29166","title":"HarnessPAI: An Evolving Harness for Physical AI","created":"2026-09-24","cited_by_count":5,"area":null},{"id":"2201.01369","title":"Using Simulation Optimization to Improve Zero-shot Policy Transfer of Quadrotors","created":"2022-01-04","cited_by_count":4,"area":null},{"id":"2206.14661","title":"Online vs. Offline Adaptive Domain Randomization Benchmark","created":"2022-06-29","cited_by_count":4,"area":null},{"id":"2306.03410","title":"Learning to Simulate Tree-Branch Dynamics for Manipulation","created":"2023-06-06","cited_by_count":4,"area":null},{"id":"2310.05086","title":"Learning Generalizable Agents via Saliency-Guided Features Decorrelation","created":"2023-10-08","cited_by_count":4,"area":null},{"id":"2312.15204","title":"DexDLO: Learning Goal-Conditioned Dexterous Policy for Dynamic Manipulation of Deformable Linear Objects","created":"2023-12-23","cited_by_count":4,"area":null},{"id":"2503.08306","title":"Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach","created":"2025-03-11","cited_by_count":4,"area":null},{"id":"2107.04527","title":"BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym","created":"2021-07-09","cited_by_count":3,"area":null},{"id":"2110.07184","title":"Self-Supervised Domain Adaptation for Visual Navigation with Global Map Consistency","created":"2021-10-14","cited_by_count":3,"area":null},{"id":"2112.03149","title":"Distilled Domain Randomization","created":"2021-12-06","cited_by_count":3,"area":null},{"id":"2206.05165","title":"Multifidelity Reinforcement Learning with Control Variates","created":"2022-06-10","cited_by_count":3,"area":null},{"id":"2310.10606","title":"BayRnTune: Adaptive Bayesian Domain Randomization via Strategic Fine-tuning","created":"2023-10-16","cited_by_count":3,"area":null},{"id":"2509.24797","title":"Fidelity-Aware Data Composition for Robust Robot Generalization","created":"2025-09-29","cited_by_count":3,"area":null},{"id":"2511.23241","title":"Synthetic Industrial Object Detection: GenAI vs. Feature-Based Methods","created":"2025-11-28","cited_by_count":3,"area":null},{"id":"2102.02493","title":"Keep it Simple: Data-efficient Learning for Controlling Complex Systems with Simple Models","created":"2021-02-04","cited_by_count":2,"area":null},{"id":"2102.10357","title":"How To Train Your HERON","created":"2021-02-20","cited_by_count":2,"area":null},{"id":"2111.02371","title":"What Robot do I Need? Fast Co-Adaptation of Morphology and Control using Graph Neural Networks","created":"2021-11-03","cited_by_count":2,"area":null},{"id":"2202.05844","title":"Uncertainty Aware System Identification with Universal Policies","created":"2022-02-11","cited_by_count":2,"area":null},{"id":"2203.00041","title":"A Recurrent Differentiable Engine for Modeling Tensegrity Robots Trainable with Low-Frequency Data","created":"2022-02-28","cited_by_count":2,"area":null},{"id":"2302.13423","title":"Sim-and-Real Reinforcement Learning for Manipulation: A Consensus-based Approach","created":"2023-02-26","cited_by_count":2,"area":null},{"id":"2303.04136","title":"Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots","created":"2023-03-07","cited_by_count":2,"area":null}],"next_cursor":"100"}