Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks

James, Stephen, Wohlhart, Paul, Kalakrishnan, Mrinal, Kalashnikov, Dmitry, Irpan, Alex, Ibarz, Julian, Levine, Sergey, Hadsell, Raia +1 more·2019·2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
DOI 10.1109/cvpr.2019.01291

Cited by (421)

Items 201–300 of 421

  1. High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures
    A.J. Miller, Fangzhou Yu, Michael Brauckmann, Farbod Farshidian · 2025 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  2. Imitation Learning as State Matching via Differentiable Physics
    Si-Wei Chen, Xiao Ma, Zhongwen Xu · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  3. TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer
    Jun Yamada, Marc P. Rigter, Jack Collins, Ingmar Posner · 2024 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  4. Toward Precise Robotic Grasping by Probabilistic Post-grasp Displacement Estimation
    Jialiang (Alan) Zhao, Jacky Liang, Oliver Kroemer · 2021 · Springer proceedings in advanced robotics
  5. Accelerating Grasp Exploration by Leveraging Learned Priors
    Han Yu Li, Michael Danielczuk, Ashwin Balakrishna, Vishal Satish, Ken Y. Goldberg · 2020 · IEEE International Conference on Automation Science and Engineering (CASE)
  6. Failure is an option: Task and Motion Planning with Failing Executions
    Tianyang Pan, Andrew M. Wells, Rahul Shome, Lydia E. Kavraki · 2022 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  7. Mobile Robot Manipulation using Pure Object Detection
    Brent Griffin · 2023 · IEEE Winter Conference on Applications of Computer Vision
  8. Haptic-guided grasping to minimise torque effort during robotic telemanipulation
    Rahaf Rahal, Amir M. Ghalamzan E., Firas Abi-Farraj, Claudio Pacchierotti, Paolo Robuffo Giordano · 2023 · Autonomous Robots
  9. M-EMBER: Tackling Long-Horizon Mobile Manipulation via Factorized Domain Transfer
    Bohan Wu, Roberto Martín-Martín, Li Fei-Fei · 2023 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  10. Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations
    Dean Zadok, Tom Hirshberg, Amir Biran, Kira Radinsky, Ashish Kapoor · 2019 · International Conference on Simulation and Modeling Methodologies, Technologies and Applications
  11. Pixel-Level Domain Adaptation for Real-to-Sim Object Pose Estimation
    Kun Qian, Yanhui Duan, Chaomin Luo, Yongqiang Zhao, Xingshuo Jing · 2023 · IEEE Transactions on Cognitive and Developmental Systems
  12. Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning
    Yann Labbé, Sergey Zagoruyko, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Šivic · 2020 · IEEE Robotics and Automation Letters
  13. Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image
    Tae Won Kim, Yeseong Park, Youngbin Park, Il Hong Suh · 2020 · arXiv (Cornell University)
  14. ImaginSynth: Bridging the Gap Between 3D Workflow and Machine Learning with Open Source Synthetic Data
    Tejas Patel, Sandeep Shivam, Amit Kumar Padhy, Bharadwaj Vulugunda, Chaitanya Kulkarni, Chandrashekhar Medicherla · 2025 · International Conference on Computer and Applications (ICCA)
  15. CoAS-Net: Context-Aware Suction Network With a Large-Scale Domain Randomized Synthetic Dataset
    Yeong Gwang Son, Tat Hieu Bui, Juyong Hong, Yong Hyeon Kim, Seung Jae Moon, Chun Soo Kim, Issac Rhee, Hansol Kang, Hyouk Ryeol Choi · 2023 · IEEE Robotics and Automation Letters
  16. Robots in manufacturing: Programming, control, and safety standards
    Srinivasan Lakshminarayanan, Sreekanth Kana, Alberto de San Bernabé, Sri Harsha Turlapati, Dino Accoto, Domenico Campolo · 2024 · Elsevier eBooks
  17. Sim-to-Real Grasp Detection with Global-to-Local RGB-D Adaptation
    Hao-Xiang Ma, Ran Qin, Mo-Di Shi, Bo-Yang Gao, Di Huang · 2024 · IEEE International Conference on Robotics and Automation
  18. Mixed Autonomous Supervision in Traffic Signal Control
    Vindula Jayawardana, Anna Landler, Cathy Wu · 2021 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
  19. Validate on Sim, Detect on Real - Model Selection for Domain Randomization
    Gal Leibovich, Guy Jacob, Shadi Endrawis, Gal Novik, Aviv Tamar · 2022 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  20. Sequence Planner: A Framework for Control of Intelligent Automation Systems
    Martin Dahl, Endre Erős, Kristofer Bengtsson, Martin Fabian, Petter Falkman · 2022 · Applied Sciences
  21. Learning to Recognize Masked Faces by Data Synthesis
    Ziyan Wang, Tae Soo Kim · 2021 · International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
  22. Precise Object Placement with Pose Distance Estimations for Different Objects and Grippers
    Kilian Kleeberger, Jonathan Schnitzler, Muhammad Usman Khalid, Richard Bormann, Werner Kraus, Marco F. Huber · 2021 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  23. Randomized-to-Canonical Model Predictive Control for Real-World Visual Robotic Manipulation
    Tomoya Yamanokuchi, Yuhwan Kwon, Yoshihisa Tsurumine, Eiji Uchibe, Jun Morimoto, Takamitsu Matsubara · 2022 · IEEE Robotics and Automation Letters
  24. RGB-D-Based Robotic Grasping in Fusion Application Environments
    Ruochen Yin, Huapeng Wu, Ming Li, Yong Cheng, Yuntao Song, Heikki Handroos · 2022 · Applied Sciences
  25. Vision-Based Multirotor Following Using Synthetic Learning Techniques
    Alejandro Rodríguez-Ramos, Adrian Alvarez-Fernandez, Hriday Bavle, Pascual Campoy, Jonathan P. How · 2019 · Sensors
  26. Towards Generalization and Data Efficient Learning of Deep Robotic Grasping
    Zhixin Chen, Zhixin Jia, Mengxiang Lin, Shibo Jian · 2022 · IEEE Conference on Industrial Electronics and Applications (ICIEA)
  27. Learning Robust Options by Conditional Value at Risk Optimization
    Hiraoka, Takuya, Takahisa Imagawa, Tatsuya Mori, Onishi, Takashi, Yoshimasa Tsuruoka · 2019 · arXiv (Cornell University)
  28. Uniaxial attitude control of uncrewed aerial vehicle with thrust vectoring under model variations by deep reinforcement learning and domain randomization
    Atsushi Oosedo, Daichi Wada, Shinsaku Hisada · 2023 · ROBOMECH Journal
  29. Safedrive dreamer: Navigating safety–critical scenarios in autonomous driving with world models
    Haitao Li, Tao Peng, Bangan Wang, Ronghui Zhang, Bolin Gao, Ningguo Qiao, Zhiwei Guan, Jiayin Li, Tianyu shi · 2024 · Alexandria Engineering Journal
  30. Seg-CURL: Segmented Contrastive Unsupervised Reinforcement Learning for Sim-to-Real in Visual Robotic Manipulation
    Binzhao Xu, Taimur Hassan, Irfan Hussain · 2023 · IEEE Access
  31. Object manipulation system based on image-based reinforcement learning
    Sunin Kim, HyunJun Jo, Jae‐Bok Song · 2022 · Intelligent Service Robotics
  32. Comparison of Different Domain Randomization Methods for Policy Transfer in Reinforcement Learning
    Mingjun Ma, Haoran Li, Guangzheng Hu, Shasha Liu, Dongbin Zhao · 2023 · IEEE Data Driven Control and Learning Systems Conference (DDCLS)
  33. Cloth in the Wind: A Case Study of Physical Measurement Through Simulation
    Tom F. H. Runia, Kirill Gavrilyuk, Cees G. M. Snoek, Arnold W. M. Smeulders · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  34. Leveraging Motor Babbling for Efficient Robot Learning
    Kei Kase, Noboru Matsumoto, Tetsuya Ogata · 2021 · Journal of Robotics and Mechatronics
  35. Accelerated Robot Skill Acquisition by Reinforcement Learning-Aided Sim-to-Real Domain Adaptation
    Zvezdan Loncarcvic, Aleš Ude, Andrej Gams · 2021 · International Conference on Advanced Robotics (ICAR)
  36. Spatial and temporal consistency learning for monocular 6D pose estimation
    Hongbo Zhang, Jiayu Liang, Jia-Xin Hong, Qing Lei, Jinghua Liu, Ji‐Xiang Du · 2024 · Engineering Applications of Artificial Intelligence
  37. A Visual Approach to Measure Cloth-Body and Cloth-Cloth Friction
    Abdullah Haroon Rasheed, Victor Romero, Florence Bertails‐Descoubes, Stefanie Wuhrer, Jean-Sébastien Franco, Arnaud Lazarus · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  38. Evaluating Real-World Robot Manipulation Policies in Simulation
    Li, Xuanlin, Hsu, Kyle, Gu, Jiayuan, Pertsch, Karl, Mees, Oier, Walke, Homer Rich, Fu, Chuyuan, Lunawat, Ishikaa, Sieh, Isabel, Kirmani, Sean et al. · 2024 · arXiv
  39. Learning to See with Less: A Survey on Computer Vision with Limited and Imperfect Data
    Mulham Fawakherji, Soukaina Alaoui, Sapthak Mohajon Turjya · 2026 · Archives of Computational Methods in Engineering
  40. Sim-to-Real Reinforcement Learning for a Rotary Double-Inverted Pendulum Based on a Mathematical Model
    Doyoon Ju, Jongbeom Lee, Young Sam Lee · 2025 · Mathematics
  41. Towards Safe, Realistic Testbed for Robotic Systems with Human Interaction
    Bhoram Lee, Jonathan Brookshire, Rhys Yahata, Supun Samarasekera · 2022 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  42. Enhancing Visual Domain Randomization with Real Images for Sim-to-Real Transfer
    András Béres, Bálint Gyires-Tóth · 2023 · Híradástechnika/Infocommunications journal
  43. Practical Visual Deep Imitation Learning via Task-Level Domain Consistency
    Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang · 2023 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  44. Robotic Grasping Based on Deep Learning: A Survey
    Mayada Abdalsalam Rashed, Rabah Nori Farhan, Wesam M. Jasim · 2023 · International Conference on Advanced Computer Applications (ACA)
  45. Synthetic data enables faster annotation and robust segmentation for multi-object grasping in clutter
    Dongmyoung Lee, Wei Chen, Nicolás Rojas · 2024 · International Conference on Mechatronics and Robotics Engineering (ICMRE)
  46. MMFEIR: Multi-attention Mutual Feature Enhance and Instance Reconstruction for category-level 6D object pose estimation
    Haotian Lei, Xiangyu Liu, Yan Zhou, Guo Niu, Chang’an Yi, Yuexia Zhou, Xiaofeng Liang, Fuhe Liu · 2025 · Image and Vision Computing
  47. Continuous Control of an Underground Loader Using Deep Reinforcement Learning
    Sofi Backman, Daniel Lindmark, Kenneth Bodin, Martin Servin, Joakim Mörk, Håkan Löfgren · 2021 · Machines
  48. SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks
    Zoe Landgraf, Raluca Scona, Tristan Laidlow, Stephen James, Stefan Leutenegger, Andrew J. Davison · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  49. Transfer Learning with Demonstration Forgetting for Robotic Manipulator
    Ermek Aitygulov, Aleksandr I. Panov · 2021 · Procedia Computer Science
  50. Effects of Domain Randomization on Simulation-to-Reality Transfer of Reinforcement Learning Policies for Industrial Robots
    Christian Scheiderer, N. Dorndorf, Tobias Meisen · 2021 · Transactions on computational science and computational intelligence
  51. Real‐Time 3D Pedestrian Tracking with Monocular Camera
    Xiao Peng, Fei Yan, Jiannan Chi, Zhiliang Wang · 2022 · Wireless Communications and Mobile Computing
  52. Weakly Supervised Correspondence Learning
    Zihan Wang, Zhangjie Cao, Yilun Hao, Dorsa Sadigh · 2022 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  53. MasKGrasp: Mask-based Grasping for Scenes with Multiple General Real-world Objects
    Junho Lee, Junhwa Hur, Inwoo Hwang, Young Min Kim · 2022 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  54. Acceleration-based Quadrotor Guidance Under Time Delays Using Deep Reinforcement Learning
    Kirk Hovell, Steve Ulrich, Murat Bronz · 2021 · AIAA SciTech Forum
  55. Adaptability Preserving Domain Decomposition for Stabilizing Sim2Real Reinforcement Learning
    Haichuan Gao, Zhile Yang, Xin Bing Su, Tian Tan, Feng Chen · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  56. Contrastive Learning for Cross-Domain Open World Recognition
    Francesco Cappio Borlino, S. Bucci, T. Tommasi · 2022 · IEEE/RJS International Conference on Intelligent RObots and Systems
  57. A sim2real framework enabling decentralized agents to execute MADDPG tasks
    Young‐Ho Suh, Sungpil Woo, Hyunhak Kim, Dong-Hwan Park · 2019
  58. A Benchmarking Platform for Learning-Based Grasp Synthesis Methodologies
    Jacques Janse van Vuuren, Liqiong Tang, Ibrahim H. Al-Bahadly, Khalid Mahmood Arif · 2021 · Journal of Intelligent & Robotic Systems
  59. Visual Foresight Tree for Object Retrieval from Clutter with Nonprehensile Rearrangement
    Baichuan Huang, Shuai D. Han, Jingjin Yu, Abdeslam Boularias · 2021 · arXiv (Cornell University)
  60. Optical Tactile Sim-to-Real Policy Transfer via Real-to-Sim Tactile Image Translation.
    Alex Church, John W. Lloyd, Raia T. Hadsell, Nathan F. Lepora · 2021 · arXiv (Cornell University)
  61. The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents
    Andrea Dittadi, Frederik Träuble, Manuel Wüthrich, Felix Widmaier, Peter Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer · 2021 · arXiv (Cornell University)
  62. Recent work on robotic pruning of upright fruiting offshoot cherry systems
    Joseph R. Davidson, Alexander You, Nidhi Parayil, J. Gopala Krishna, Matthew David Whiting, Manoj Karkee, Cindy M. Grimm · 2023 · Acta Horticulturae
  63. GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy
    So Kuroki, Jiaxian Guo, Tatsuya Matsushima, Takuya Okubo, Masato Kobayashi, Yuya Ikeda, Ryosuke Takanami, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa · 2024 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  64. Sim-to-real transfer via a Style-Identified Cycle Consistent Generative Adversarial Network: Zero-shot deployment on robotic manipulators through visual domain adaptation
    Lucía Güitta-López, Lionel Güitta-López, Jaime Boal, Álvaro J. López-López · 2025 · Engineering Applications of Artificial Intelligence
  65. Modeling Task Uncertainty for Safe Meta-Imitation Learning
    Tatsuya Matsushima, Naruya Kondo, Yusuke Iwasawa, Kaoru Nasuno, Yutaka Matsuo · 2020 · Frontiers in Robotics and AI
  66. On the Challenges of Open World Recognition Under Shifting Visual Domains
    D. Fontanel, Fabio Cermelli, Massimiliano Mancini, B. Caputo · 2021 · IEEE Robotics and Automation Letters
  67. A Conformal Mapping-based Framework for Robot-to-Robot and Sim-to-Real Transfer Learning
    Shijie Gao, Nicola Bezzo · 2021 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  68. Evaluating Gaussian Grasp Maps for Generative Grasping Models
    William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik Beierholm · 2022 · International Joint Conference on Neural Networks (IJCNN)
  69. On Scene Engineering and Domain Randomization: Synthetic Data for Industrial Item Picking
    Moritz Weisenböhler, Björn Hein, Christian Wurll · 2023 · Lecture notes in networks and systems
  70. ManiWare: An Easy-to-Use Middleware for Cooperative Manipulator Teams
    Jinlin Chen, Jiannong Cao, Zhiqin Cheng, Yuvraj Sahni · 2023 · IEEE Internet of Things Journal
  71. Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity
    Kaushik Dey, Satheesh Kumar Perepu, Pallab Dasgupta, Abir Das · 2023 · IEEE International Conference on Network Softwarization (NetSoft)
  72. Learning Tactilemotor Policy for Robotic Cable Following via Sim-to-Real Transfer
    Chang Sun, Boyi Duan, Kun Qian, Yongqiang Zhao · 2023 · Lecture notes in computer science
  73. Instance-Level Coarse-to-Fine High-Precision Grasping in Cluttered Environments
    Z. Wang, Jingdong Zhao, Liangliang Zhao, Hong Liu · 2024 · IEEE Transactions on Industrial Informatics
  74. Reducing Sim-to-Real Domain Gaps of Visual Sensors for Learning Environment-Constrained Visuomotor Policy
    Xingshuo Jing, Kun Qian, Boyi Duan · 2024 · IEEE Sensors Journal
  75. An enhanced neuro-adaptive PID sliding mode control for robot manipulators:promoting sustainable automation
    Ahmed Elmogy, Nagah Alhemaly, Hany El-Ghaish, Wael Mohammed Elawady · 2025 · Neural Computing and Applications
  76. Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning
    Marco Pleines, Jenia Jitsev, Mike Preuß, Fränk Zimmer · 2020 · IEEE Conference on Games (CoG)
  77. LoOP: Iterative learning for optimistic planning on robots
    Francesco Riccio, Roberto Capobianco, Daniele Nardi · 2020 · Robotics and Autonomous Systems
  78. Multiparameter Real-World System Identification Using Iterative Residual Tuning
    Adam Allevato, Mitch Pryor, Andrea L. Thomaz · 2021 · Journal of Mechanisms and Robotics
  79. Testing Artificial Intelligence in High-Performance, Tactical Aircraft
    Josh Rountree, Patrick Hipelius, Brian Dienst, Jonathan Aronoff, Ryan Neely, R.L. Steigerwald, Skylar Griffis, David D. de Schweinitz, Chiawei Lee, Ryan G. Hefron · 2021 · IEEE Aerospace Conference (AERO)
  80. Deep Reinforcement Learning as Guidance for Aerospace Robotics
    Kirk Hovell · 2022
  81. Play it by Ear: A perceptual algorithm for autonomous melodious piano playing with a bio-inspired robotic hand
    Hesam Azadjou, Ali Marjaninejad, Francisco J. Valero‐Cuevas · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
  82. Enhancing V2X Communications with UAV-mounted Reconfigurable Intelligent Surfaces
    Salim Janji, Paweł Sroka, Adrian Kliks · 2024 · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
  83. Image segmentation-driven sim-to-real deep reinforcement learning framework for accurate peg-in-hole assembly
    Ning Zhang, Yongjia Zhao, Minghao Yang, Shuling Dai · 2025 · Robotica
  84. Visual-Based Forklift Learning System Enabling Zero-Shot Sim2Real Without Real-World Data
    Koshi Oishi, Toshi Kato, Hiroya Makino, Seigo Ito · 2025 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  85. Toward Collision-Aware Robotic Fragile Fruit Grasping: A Sim-to-Real Framework for Perception, Reasoning, and Execution
    Qingyu Wang, Kaixin Bai, Lei Zhang, Qiang Li, Alois Knoll, Jianwei Zhang, Yibin Ying, Mingchuan Zhou · 2025 · IEEE/ASME Transactions on Mechatronics
  86. Application of Generative AI for Robotics Learning and Perceptions
    Ravi Raj K.G, Ilker Demirkol · 2025 · International Conference on Control, Mechatronics and Automation (ICCMA)
  87. ZeroBot: Learning From Scratch in Minutes With Generative Real2Sim
    Ivan Kapelyukh, Xiaohan Zhang, Stephen James, Laura Herlant, Edward Johns · 2026 · IEEE Robotics and Automation Letters
  88. Multi-task Deep Reinforcement Learning with Evolutionary Algorithm and Policy Gradients Method in 3D Control Tasks
    Shota Imai, Yuichi Sei, Yasuyuki Tahara, Ryohei Orihara, Akihiko Ohsuga · 2019 · IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science (BCD)
  89. Simulation-to-Reality Transfer of a Two-Stage Deep Reinforcement Learning Controller for Autonomous Load Carrier Approaching
    Simon Hadwiger, Vladimir Lavrik, Li Xin Liao, Tobias Meisen · 2023 · IEEE International Conference on Autonomous Robot Systems and Competitions
  90. RETRACTED ARTICLE: Enhancing representational learning for cloud robotic vision through explainable fuzzy convolutional autoencoder framework
    R. Udendhran, G. Yamini, N. Badrinath, J. Jegathesh Amalraj, A. Suresh · 2023 · Soft Computing · Retracted
  91. Active search and coverage using point-cloud reinforcement learning
    Matthias Rosynski, Alexandru Pop, Lucian Buşoniu · 2023 · International Conference on System Theory, Control and Computing (ICSTCC)
  92. Domains as Objectives: Multi-Domain Reinforcement Learning with Convex-Coverage Set Learning for Domain Uncertainty Awareness
    Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara · 2023 · IEEE/RJS International Conference on Intelligent RObots and Systems
  93. Pose Tracking and Object Reconstruction Based on Occlusion Relationships in Complex Environments
    Xi Zhao, Yuekun Zhang, Yaqing Zhou · 2024 · Applied Sciences
  94. EATNet: Efficient Axial Transformer Network for End-to-end Autonomous Driving
    Weihuang Chen, F. Kong, Liming Chen, Shen’ao Wang, Zhiping Wang, Hongbin Sun · 2024 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
  95. A Simulation Pipeline to Facilitate Real-World Robotic Reinforcement Learning Applications
    Jefferson Silveira, Joshua A. Marshall, Sidney Nascimento Givigi · 2025 · IEEE International Systems Conference (SysCon)
  96. Unified Sim-and-Real Scoring Methods for Robot Policy Selection
    Subin Im, Jaeseon Lee · 2025 · The Journal of Korea Robotics Society
  97. No-Regret Shannon Entropy Regularized Neural Contextual Bandit Online Learning for Robotic Grasping
    Kyungjae Lee, Jaegu Choy, Yunho Choi, Hogun Kee, Songhwai Oh · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  98. Learning Robot Grasping from a Random Pile with Deep Q-Learning
    Bin Chen, Jianhua Su, Lili Wang, Qipeng Gu · 2021 · Lecture notes in computer science
  99. Morphology-Agnostic Visual Robotic Control
    Brian Yang, Dinesh Jayaraman, Glen Berseth, Alexei A. Efros, Sergey Levine · 2020 · IEEE Robotics and Automation Letters
  100. Unsupervised Human Pose Estimation on Depth Images
    Thibault Blanc-Beyne, Axel Carlier, Sandrine Mouysset, Vincent Charvillat · 2021 · Lecture notes in computer science