Perspectives on Sim2Real Transfer for Robotics: A Summary of the R:SS 2020 Workshop

1. 2021Robot Learning from Randomized Simulations: A Reviewcited by 56
2. 2021RobustNav: Towards Benchmarking Robustness in Embodied Navigationcited by 52
3. 2024GarmentLab: A Unified Simulation and Benchmark for Garment Manipulationcited by 20
4. 2023Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performancescited by 16
5. 2022Inferring Articulated Rigid Body Dynamics from RGBD Videocited by 10
6. 2023Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networkscited by 8
7. 2023Reproducibility of Machine Learning: Terminology, Recommendations and Open Issuescited by 8
8. 2023Learning with a Mole: Transferable latent spatial representations for navigation without reconstructioncited by 6
9. 2023Robust Visual Sim-to-Real Transfer for Robotic Manipulationcited by 5
10. 2024Learning to navigate efficiently and precisely in real environmentscited by 5
11. 2024Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning for Portfolio Optimizationcited by 4
12. 2025Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approachcited by 4

1. 2026VideoWeaver: Multimodal Multi-View Video-to-Video Transfer for Embodied Agents26 Mar 2026
2. 2025Posterior-driven Heuristic Support Adaptation in a Probabilistic Treatment of Real2Sim2Real for Vision-Driven Deformable Linear Object Manipulation30 Oct 2025
3. 2025Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach11 Mar 2025
4. 2024GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation2 Nov 2024
5. 2024Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning for Portfolio Optimization27 Feb 2024
6. 2024Learning to navigate efficiently and precisely in real environments25 Jan 2024
7. 2024Multi-Object Navigation in real environments using hybrid policies24 Jan 2024
8. 2023Robust Visual Sim-to-Real Transfer for Robotic Manipulation28 Jul 2023
9. 2023Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction6 Jun 2023
10. 2023Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks2 Jun 2023
11. 2023Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation18 Apr 2023
12. 2023Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances17 Mar 2023

1. 2024GarmentLab: A Unified Simulation and Benchmark for Garment Manipulationcited by 20
2. 2024Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning for Portfolio Optimizationcited by 4

1. 2024GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation2 Nov 2024
2. 2024Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning for Portfolio Optimization27 Feb 2024

1. 2026VideoWeaver: Multimodal Multi-View Video-to-Video Transfer for Embodied Agentscited by 0

1. 2026VideoWeaver: Multimodal Multi-View Video-to-Video Transfer for Embodied Agents26 Mar 2026

1. 2021Robot Learning from Randomized Simulations: A Reviewcited by 56
2. 2021RobustNav: Towards Benchmarking Robustness in Embodied Navigationcited by 52
3. 2023Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performancescited by 16
4. 2022Inferring Articulated Rigid Body Dynamics from RGBD Videocited by 10
5. 2023Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networkscited by 8
6. 2023Reproducibility of Machine Learning: Terminology, Recommendations and Open Issuescited by 8
7. 2023Learning with a Mole: Transferable latent spatial representations for navigation without reconstructioncited by 6
8. 2023Robust Visual Sim-to-Real Transfer for Robotic Manipulationcited by 5
9. 2024Learning to navigate efficiently and precisely in real environmentscited by 5
10. 2025Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approachcited by 4
11. 2023Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networkscited by 3
12. 2024Multi-Object Navigation in real environments using hybrid policiescited by 3

12 most cited of 19 · All 19 (JSON)

1. 2025Posterior-driven Heuristic Support Adaptation in a Probabilistic Treatment of Real2Sim2Real for Vision-Driven Deformable Linear Object Manipulation30 Oct 2025
2. 2025Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach11 Mar 2025
3. 2024Learning to navigate efficiently and precisely in real environments25 Jan 2024
4. 2024Multi-Object Navigation in real environments using hybrid policies24 Jan 2024
5. 2023Robust Visual Sim-to-Real Transfer for Robotic Manipulation28 Jul 2023
6. 2023Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction6 Jun 2023
7. 2023Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks2 Jun 2023
8. 2023Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation18 Apr 2023
9. 2023Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances17 Mar 2023
10. 2023Reproducibility of Machine Learning: Terminology, Recommendations and Open Issues24 Feb 2023
11. 2023Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks11 Jan 2023
12. 2023fintech-kMC: Agent based simulations of financial platforms for design and testing of machine learning systems4 Jan 2023

12 newest of 19 · All 19 (JSON)