Table of Contents

• Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor TasksBohan Wu, Suraj Nair, Li Fei-Fei 0001, Chelsea Finn. 1-13 [doi]
• Tactile Image-to-Image Disentanglement of Contact Geometry from Motion-Induced ShearAnupam K. Gupta, Laurence Aitchison, Nathan F. Lepora. 14-23 [doi]
• FlingBot: The Unreasonable Effectiveness of Dynamic Manipulation for Cloth UnfoldingHuy Ha, Shuran Song. 24-33 [doi]
• TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view StereoLukas Koestler, Nan Yang 0007, Niclas Zeller, Daniel Cremers. 34-45 [doi]
• Taskography: Evaluating robot task planning over large 3D scene graphsChristopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti. 46-58 [doi]
• Broadly-Exploring, Local-Policy Trees for Long-Horizon Task PlanningBrian Ichter, Pierre Sermanet, Corey Lynch. 59-69 [doi]
• Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point CloudsLirui Wang, Yu Xiang, Wei Yang, Arsalan Mousavian, Dieter Fox. 70-80 [doi]
• Parallelised Diffeomorphic Sampling-based Motion PlanningTin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos. 81-90 [doi]
• Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement LearningNikita Rudin, David Hoeller, Philipp Reist, Marco Hutter 0001. 91-100 [doi]
• Using Physics Knowledge for Learning Rigid-body Forward Dynamics with Gaussian Process Force PriorsLucas Rath, Andreas René Geist, Sebastian Trimpe. 101-111 [doi]
• 3D Neural Scene Representations for Visuomotor ControlYunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba 0001. 112-123 [doi]
• Learning Density Distribution of Reachable States for Autonomous SystemsYue Meng, Dawei Sun, Zeng Qiu, Md Tawhid Bin Waez, Chuchu Fan. 124-136 [doi]
• A Differentiable Recipe for Learning Visual Non-Prehensile Planar ManipulationBernardo Aceituno-Cabezas, Alberto Rodriguez, Shubham Tulsiani, Abhinav Gupta 0001, Mustafa Mukadam. 137-147 [doi]
• SORNet: Spatial Object-Centric Representations for Sequential ManipulationWentao Yuan, Chris Paxton, Karthik Desingh, Dieter Fox. 148-157 [doi]
• Implicit Behavioral CloningPete Florence, Corey Lynch, Andy Zeng, Oscar A. Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson. 158-168 [doi]
• Influencing Behavioral Attributions to Robot Motion During Task ExecutionNick Walker 0001, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa, Maya Cakmak. 169-179 [doi]
• DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D QueriesYue Wang, Vitor Campanolo Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, Justin Solomon 0001. 180-191 [doi]
• FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based PolicyThomas Weng, Sujay Man Bajracharya, Yufei Wang, Khush Agrawal, David Held. 192-202 [doi]
• Multimodal Trajectory Prediction Conditioned on Lane-Graph TraversalsNachiket Deo, Eric M. Wolff, Oscar Beijbom. 203-212 [doi]
• Structured deep generative models for sampling on constraint manifolds in sequential manipulationJoaquim Ortiz de Haro, Jung-Su Ha, Danny Driess, Marc Toussaint. 213-223 [doi]
• Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement LearningSean J. Wang, Samuel Triest, Wenshan Wang, Sebastian Scherer, Aaron M. Johnson. 224-233 [doi]
• LEO: Learning Energy-based Models in Factor Graph OptimizationPaloma Sodhi, Eric Dexheimer, Mustafa Mukadam, Stuart Anderson, Michael Kaess. 234-244 [doi]
• Learning Models as Functionals of Signed-Distance Fields for Manipulation PlanningDanny Driess, Jung-Su Ha, Marc Toussaint, Russ Tedrake. 245-255 [doi]
• Learning Visible Connectivity Dynamics for Cloth SmoothingXingyu Lin, Yufei Wang, Zixuan Huang, David Held. 256-266 [doi]
• GRAC: Self-Guided and Self-Regularized Actor-CriticLin Shao, Yifan You, Mengyuan Yan, Shenli Yuan, Qingyun Sun, Jeannette Bohg. 267-276 [doi]
• Learning to Regrasp by Learning to PlaceShuo Cheng, Kaichun Mo, Lin Shao. 277-286 [doi]
• V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated ObjectsXingyu Liu, Kris M. Kitani. 287-296 [doi]
• A System for General In-Hand Object Re-OrientationTao Chen, Jie Xu 0028, Pulkit Agrawal. 297-307 [doi]
• Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile ManipulationCharles Sun, Jedrzej Orbik, Coline Manon Devin, Brian H. Yang, Abhishek Gupta 0004, Glen Berseth, Sergey Levine. 308-319 [doi]
• Adversarially Robust Imitation LearningJianren Wang, Ziwen Zhuang, Yuyang Wang, Hang Zhao. 320-331 [doi]
• Look Before You Leap: Safe Model-Based Reinforcement Learning with Human InterventionYunkun Xu, Zhenyu Liu 0005, Guifang Duan, Jiangcheng Zhu, Xiaolong Bai, Jianrong Tan. 332-341 [doi]
• Learning Multimodal Rewards from RankingsVivek Myers, Erdem Biyik, Nima Anari, Dorsa Sadigh. 342-352 [doi]
• Learning Reward Functions from Scale FeedbackNils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith 0001. 353-362 [doi]
• Learning Feasibility to Imitate Demonstrators with Different DynamicsZhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh. 363-372 [doi]
• Orientation Probabilistic Movement Primitives on Riemannian ManifoldsLeonel Rozo, Vedant Dave. 373-383 [doi]
• Self-supervised Reinforcement Learning with Independently Controllable SubgoalsAndrii Zadaianchuk, Georg Martius, Fanny Yang. 384-394 [doi]
• Haptics-based Curiosity for Sparse-reward TasksSai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vázquez 0001, Aaron C. Courville, Pedro O. Pinheiro. 395-405 [doi]
• Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State RegularizationYoungwoon Lee, Joseph J. Lim, Anima Anandkumar, Yuke Zhu. 406-416 [doi]
• A Workflow for Offline Model-Free Robotic Reinforcement LearningAviral Kumar, Anikait Singh, Stephen Tian, Chelsea Finn, Sergey Levine. 417-428 [doi]
• SeqMatchNet: Contrastive Learning with Sequence Matching for Place Recognition & RelocalizationSourav Garg, Madhu Babu Vankadari, Michael Milford. 429-443 [doi]
• Risk-Averse Zero-Order Trajectory OptimizationMarin Vlastelica P., Sebastian Blaes, Cristina Pinneri, Georg Martius. 444-454 [doi]
• iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household TasksChengshu Li 0002, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Elliott Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu 0001, Li Fei-Fei 0001, Silvio Savarese. 455-465 [doi]
• ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile RepresentationsRuohan Gao, Yen-Yu Chang, Shivani Mall, Li Fei-Fei 0001, Jiajun Wu 0001. 466-476 [doi]
• BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological EnvironmentsSanjana Srivastava, Chengshu Li 0002, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Elliott Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu 0001, Li Fei-Fei 0001. 477-490 [doi]
• Learning Model Preconditions for Planning with Multiple ModelsAlex Licari LaGrassa, Oliver Kroemer. 491-500 [doi]
• Single-Shot Scene ReconstructionSergey Zakharov, Rares Andrei Ambrus, Vitor Campagholo Guizilini, Dennis Park, Wadim Kehl, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu 0001, Adrien Gaidon. 501-512 [doi]
• Learning Backchanneling Behaviors for a Social Robot via Data Augmentation from Human-Human ConversationsMichael Murray, Nick Walker 0001, Amal Nanavati, Patricia Alves-Oliveira, Nikita Filippov, Allison Sauppé, Bilge Mutlu, Maya Cakmak. 513-525 [doi]
• Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent ObjectsJeffrey Ichnowski, Yahav Avigal, Justin Kerr, Ken Goldberg. 526-536 [doi]
• XIRL: Cross-embodiment Inverse Reinforcement LearningKevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi. 537-546 [doi]
• Evaluations of the Gap between Supervised and Reinforcement Lifelong Learning on Robotic Manipulation TasksFan Yang, Chao Yang, Huaping Liu 0001, Fuchun Sun 0001. 547-556 [doi]
• Scaling Up Multi-Task Robotic Reinforcement LearningDmitry Kalashnikov, Jake Varley, Yevgen Chebotar, Benjamin Swanson, Rico Jonschkowski, Chelsea Finn, Sergey Levine, Karol Hausman. 557-575 [doi]
• Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement LearningSumeet Batra, Zhehui Huang, Aleksei Petrenko, Tushar Kumar, Artem Molchanov, Gaurav S. Sukhatme. 576-586 [doi]
• ReSkin: versatile, replaceable, lasting tactile skinsRaunaq M. Bhirangi, Tess Lee Hellebrekers, Carmel Majidi, Abhinav Gupta. 587-597 [doi]
• ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation LearningRyan Hoque, Ashwin Balakrishna, Ellen R. Novoseller, Albert Wilcox, Daniel S. Brown, Ken Goldberg. 598-608 [doi]
• Anytime Depth Estimation with Limited Sensing and Computation Capabilities on Mobile DevicesYuedong Yang, Zihui Xue, Radu Marculescu. 609-618 [doi]
• Semantic Terrain Classification for Off-Road Autonomous DrivingAmirreza Shaban, Xiangyun Meng, Joonho Lee, Byron Boots, Dieter Fox. 619-629 [doi]
• Guided Imitation of Task and Motion PlanningMichael James McDonald, Dylan Hadfield-Menell. 630-640 [doi]
• Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot ManipulationI-Chun Arthur Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee. 641-650 [doi]
• DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from VideoPriyanka Mandikal, Kristen Grauman. 651-661 [doi]
• DiffImpact: Differentiable Rendering and Identification of Impact SoundsSamuel Clarke, Negin Heravi, Mark Rau, Ruohan Gao, Jiajun Wu, Doug James, Jeannette Bohg. 662-673 [doi]
• Rapid Exploration for Open-World Navigation with Latent Goal ModelsDhruv Shah, Benjamin Eysenbach, Nicholas Rhinehart, Sergey Levine. 674-684 [doi]
• Advancing Self-supervised Monocular Depth Learning with Sparse LiDARZiyue Feng, Longlong Jing, Peng Yin, Yingli Tian, Bing Li. 685-694 [doi]
• Visually-Grounded Library of Behaviors for Manipulating Diverse Objects across Diverse Configurations and ViewsJingyun Yang, Hsiao-Yu Tung, Yunchu Zhang, Gaurav Pathak, Ashwini Pokle, Christopher G. Atkeson, Katerina Fragkiadaki. 695-705 [doi]
• A Persistent Spatial Semantic Representation for High-level Natural Language Instruction ExecutionValts Blukis, Chris Paxton, Dieter Fox, Animesh Garg, Yoav Artzi. 706-717 [doi]
• Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy GradientsOliver Scheel, Luca Bergamini, Maciej Wolczyk, Blazej Osinski, Peter Ondruska. 718-728 [doi]
• Demonstration-Guided Reinforcement Learning with Learned SkillsKarl Pertsch, Youngwoon Lee, Yue Wu, Joseph J. Lim. 729-739 [doi]
• My House, My Rules: Learning Tidying Preferences with Graph Neural NetworksIvan Kapelyukh, Edward Johns. 740-749 [doi]
• STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive ManipulationMohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots. 750-759 [doi]
• Structure from Silence: Learning Scene Structure from Ambient SoundZiyang Chen, Xixi Hu, Andrew Owens. 760-772 [doi]
• Fast and Efficient Locomotion via Learned Gait TransitionsYuxiang Yang, Tingnan Zhang, Erwin Coumans, Jie Tan, Byron Boots. 773-783 [doi]
• Model-free Safe Control for Zero-Violation Reinforcement LearningWeiye Zhao, Tairan He, Changliu Liu. 784-793 [doi]
• Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn KernelsNoémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Dario Rozo. 794-805 [doi]
• Predicting Stable Configurations for Semantic Placement of Novel ObjectsChris Paxton, Chris Xie, Tucker Hermans, Dieter Fox. 806-815 [doi]
• Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled ScenesSean Segal, Nishanth Kumar, Sergio Casas 0002, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun. 816-826 [doi]
• Seeing Glass: Joint Point-Cloud and Depth Completion for Transparent ObjectsHaoping Xu, Yi Ru Wang, Sagi Eppel, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg. 827-838 [doi]
• Motivating Physical Activity via Competitive Human-Robot InteractionBoling Yang, Golnaz Habibi, Patrick Lancaster, Byron Boots, Joshua R. Smith 0001. 839-849 [doi]
• RoCUS: Robot Controller Understanding via SamplingYilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah. 850-860 [doi]
• IMU-Assisted Learning of Single-View Rolling Shutter CorrectionJiawei Mo, Md Jahidul Islam, Junaed Sattar. 861-870 [doi]
• Group-based Motion Prediction for Navigation in Crowded EnvironmentsAllan Wang, Christoforos I. Mavrogiannis, Aaron Steinfeld. 871-882 [doi]
• A Constrained Multi-Objective Reinforcement Learning FrameworkSandy H. Huang, Abbas Abdolmaleki, Giulia Vezzani, Philemon Brakel, Daniel J. Mankowitz, Michael Neunert, Steven Bohez, Yuval Tassa, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell. 883-893 [doi]
• CLIPort: What and Where Pathways for Robotic ManipulationMohit Shridhar, Lucas Manuelli, Dieter Fox. 894-906 [doi]
• S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in RoboticsSamarth Sinha, Ajay Mandlekar, Animesh Garg. 907-917 [doi]
• Aligning an optical interferometer with beam divergence control and continuous action spaceStepan Makarenko, Dmitry Igorevich Sorokin, Alexander Ulanov, Alexander I. Lvovsky. 918-927 [doi]
• Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged RobotsZipeng Fu, Ashish Kumar, Jitendra Malik, Deepak Pathak. 928-937 [doi]
• SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via StereoThomas Kollar, Michael Laskey, Kevin Stone, Brijen Thananjeyan, Mark Tjersland. 938-948 [doi]
• Social Interactions as Recursive MDPsRavi Tejwani, Yen-ling Kuo, Tianmin Shu, Boris Katz, Andrei Barbu. 949-958 [doi]
• LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative TasksAlbert Wilcox, Ashwin Balakrishna, Brijen Thananjeyan, Joseph E. Gonzalez, Ken Goldberg. 959-969 [doi]
• Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot LearningAlec Farid, Sushant Veer, Anirudha Majumdar. 970-980 [doi]
• Redundancy Resolution as Action Bias in Policy Search for Robotic ManipulationFiras Al-Hafez, Jochen J. Steil. 981-990 [doi]
• BC-Z: Zero-Shot Task Generalization with Robotic Imitation LearningEric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn. 991-1002 [doi]
• Motion Forecasting with Unlikelihood Training in Continuous SpaceDeyao Zhu, Mohamed Zahran, Li Erran Li, Mohamed Elhoseiny. 1003-1012 [doi]
• Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self DrivingJames Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen 0014, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun. 1013-1024 [doi]
• Learning to Jump from PixelsGabriel B. Margolis, Tao Chen, Kartik Paigwar, Xiang Fu, Donghyun Kim, Sangbae Kim, Pulkit Agrawal. 1025-1034 [doi]
• Learning to Predict Vehicle Trajectories with Model-based PlanningHaoran Song, Di Luan, Wenchao Ding 0001, Michael Yu Wang, Qifeng Chen. 1035-1045 [doi]
• LanguageRefer: Spatial-Language Model for 3D Visual GroundingJunha Roh, Karthik Desingh, Ali Farhadi, Dieter Fox. 1046-1056 [doi]
• Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact EventsTzu-Yuan Lin, Ray Zhang, Justin Yu, Maani Ghaffari. 1057-1066 [doi]
• The Boombox: Visual Reconstruction from Acoustic VibrationsBoyuan Chen, Mia Chiquier, Hod Lipson, Carl Vondrick. 1067-1077 [doi]
• AW-Opt: Learning Robotic Skills with Imitation andReinforcement at ScaleYao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine. 1078-1088 [doi]
• Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse ShapesAlex X. Lee, Coline Manon Devin, Yuxiang Zhou, Thomas Lampe, Konstantinos Bousmalis, Jost Tobias Springenberg, Arunkumar Byravan, Abbas Abdolmaleki, Nimrod Gileadi, David Khosid, Claudio Fantacci, Jose Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin A. Riedmiller, Raia Hadsell, Francesco Nori. 1089-1131 [doi]
• Influencing Towards Stable Multi-Agent InteractionsWoodrow Zhouyuan Wang, Andy Shih, Annie Xie, Dorsa Sadigh. 1132-1143 [doi]
• Strength Through Diversity: Robust Behavior Learning via Mixture PoliciesTim Seyde, Wilko Schwarting, Igor Gilitschenski, Markus Wulfmeier, Daniela Rus. 1144-1155 [doi]
• Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model EnsemblesTim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus. 1156-1167 [doi]
• Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian ProcessesJongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Gerhard Müller, Rudolph Triebel. 1168-1179 [doi]
• Learning Multi-Stage Tasks with One Demonstration via Self-ReplayNorman Di Palo, Edward Johns. 1180-1189 [doi]
• Learning Behaviors through Physics-driven Latent ImaginationAntoine Richard, Stéphanie Aravecchia, Matthieu Geist, Cédric Pradalier. 1190-1199 [doi]
• Enhancing Consistent Ground Maneuverability by Robot Adaptation to Complex Off-Road TerrainsSriram Siva, Maggie B. Wigness, John Rogers, Hao Zhang. 1200-1210 [doi]
• Self-Improving Semantic Perception for Indoor LocalisationHermann Blum, Francesco Milano, René Zurbrügg, Roland Siegwart, Cesar Cadena 0001, Abel Gawel. 1211-1222 [doi]
• Anomaly Detection in Multi-Agent Trajectories for Automated DrivingJulian Wiederer, Arij Bouazizi, Marco Troina, Ulrich Kressel, Vasileios Belagiannis. 1223-1233 [doi]
• Assisted Robust Reward DesignJerry Zhi-Yang He, Anca D. Dragan. 1234-1246 [doi]
• Generating Scenarios with Diverse Pedestrian Behaviors for Autonomous Vehicle TestingMaria Priisalu, Aleksis Pirinen, Ciprian Paduraru, Cristian Sminchisescu. 1247-1258 [doi]
• Skill Preferences: Learning to Extract and Execute Robotic Skills from Human FeedbackXiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin. 1259-1268 [doi]
• Visual Learning Towards Soft Robot Force Control using a 3D Metamaterial with Differential StiffnessFang Wan, Xiaobo Liu, Ning Guo, Xudong Han, Feng Tian, Chaoyang Song. 1269-1278 [doi]
• Co-GAIL: Learning Diverse Strategies for Human-Robot CollaborationChen Wang, Claudia Pérez-D'Arpino, Danfei Xu, Li Fei-Fei 0001, C. Karen Liu, Silvio Savarese. 1279-1290 [doi]
• Visual-Locomotion: Learning to Walk on Complex Terrains with VisionWenhao Yu 0003, Deepali Jain, Alejandro Escontrela, Atil Iscen, Peng Xu, Erwin Coumans, Sehoon Ha, Jie Tan, Tingnan Zhang. 1291-1302 [doi]
• Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced AnnotationSuraj Nair, Eric Mitchell, Kevin Chen 0001, Brian Ichter, Silvio Savarese, Chelsea Finn. 1303-1315 [doi]
• Hierarchically Integrated Models: Learning to Navigate from Heterogeneous RobotsKatie Kang, Gregory Kahn, Sergey Levine. 1316-1325 [doi]
• Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic MonitorXiao Li 0025, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus. 1326-1335 [doi]
• Learning Eye-in-Hand Camera Calibration from a Single ImageEugene Valassakis, Kamil Dreczkowski, Edward Johns. 1336-1346 [doi]
• LENS: Localization enhanced by NeRF synthesisArthur Moreau, Nathan Piasco, Dzmitry Tsishkou, Bogdan Stanciulescu, Arnaud de La Fortelle. 1347-1356 [doi]
• Robot Reinforcement Learning on the Constraint ManifoldPuze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters 0001. 1357-1366 [doi]
• Error-Aware Imitation Learning from Teleoperation Data for Mobile ManipulationJosiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei 0001, Silvio Savarese, Roberto Martín-Martín. 1367-1378 [doi]
• LILA: Language-Informed Latent ActionsSiddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh. 1379-1390 [doi]
• CLASP: Constrained Latent Shape Projection for Refining Object Shape from Robot ContactBrad Saund, Dmitry Berenson. 1391-1400 [doi]
• Learn2Assemble with Structured Representations and Search for Robotic Architectural ConstructionNiklas Funk, Georgia Chalvatzaki, Boris Belousov, Jan Peters 0001. 1401-1411 [doi]
• Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape RepresentationsMinghan Zhu, Maani Ghaffari, Huei Peng. 1412-1422 [doi]
• Specializing Versatile Skill Libraries using Local Mixture of ExpertsOnur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann. 1423-1433 [doi]
• Multi-Agent Trajectory Prediction by Combining Egocentric and Allocentric ViewsXiaosong Jia, Liting Sun, Hang Zhao, Masayoshi Tomizuka, Wei Zhan. 1434-1443 [doi]
• Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional NetworksBenedikt Mersch, Xieyuanli Chen, Jens Behley, Cyrill Stachniss. 1444-1454 [doi]
• Dealing with the Unknown: Pessimistic Offline Reinforcement LearningJinning Li, Chen Tang, Masayoshi Tomizuka, Wei Zhan. 1455-1464 [doi]
• Stochastic Policy Optimization with Heuristic Information for Robot LearningSeonghyun Kim, Ingook Jang, Samyeul Noh, Hyunseok Kim. 1465-1474 [doi]
• Probabilistic and Geometric Depth: Detecting Objects in PerspectiveTai Wang, Xinge Zhu, Jiangmiao Pang, Dahua Lin. 1475-1485 [doi]
• Guiding Multi-Step Rearrangement Tasks with Natural Language InstructionsElias Stengel-Eskin, Andrew Hundt, Zhuohong He, Aditya Murali, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager. 1486-1501 [doi]
• Towards Real Robot Learning in the Wild: A Case Study in Bipedal LocomotionMichael Bloesch, Jan Humplik, Viorica Patraucean, Roland Hafner, Tuomas Haarnoja, Arunkumar Byravan, Noah Yamamoto Siegel, Saran Tunyasuvunakool, Federico Casarini, Nathan Batchelor, Francesco Romano, Stefano Saliceti, Martin A. Riedmiller, S. M. Ali Eslami, Nicolas Heess. 1502-1511 [doi]
• SCAPE: Learning Stiffness Control from Augmented Position Control ExperiencesMincheol Kim, Scott Niekum, Ashish D. Deshpande. 1512-1521 [doi]
• Fully Self-Supervised Class Awareness in Dense Object DescriptorsDenis Hadjivelichkov, Dimitrios Kanoulas. 1522-1531 [doi]
• Neural Posterior Domain RandomizationFabio Muratore, Theo Gruner, Florian Wiese, Boris Belousov, Michael Gienger, Jan Peters 0001. 1532-1542 [doi]
• You Only Evaluate Once: a Simple Baseline Algorithm for Offline RLWonjoon Goo, Scott Niekum. 1543-1553 [doi]
• Safe Driving via Expert Guided Policy OptimizationZhenghao Peng, Quanyi Li, Chunxiao Liu, Bolei Zhou. 1554-1563 [doi]
• "Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task TransferAndrew Hundt, Aditya Murali, Priyanka Hubli, Ran Liu, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager. 1564-1574 [doi]
• Learning Inertial Odometry for Dynamic Legged Robot State EstimationRussell Buchanan, Marco Camurri, Frank Dellaert, Maurice F. Fallon. 1575-1584 [doi]
• Embodied Semantic Scene Graph GenerationXinghang Li, Di Guo, Huaping Liu 0001, Fuchun Sun 0001. 1585-1594 [doi]
• Generalised Task Planning with First-Order Function ApproximationJun Hao Alvin Ng, Ronald P. A. Petrick. 1595-1610 [doi]
• Distributional Depth-Based Estimation of Object Articulation ModelsAjinkya Jain, Stephen Giguere, Rudolf Lioutikov, Scott Niekum. 1611-1621 [doi]
• Learning Off-Policy with Online PlanningHarshit Sikchi, Wenxuan Zhou, David Held. 1622-1633 [doi]
• Smooth Exploration for Robotic Reinforcement LearningAntonin Raffin, Jens Kober, Freek Stulp. 1634-1644 [doi]
• Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image TranslationAlex Church, John Lloyd, Raia Hadsell, Nathan F. Lepora. 1645-1654 [doi]
• RICE: Refining Instance Masks in Cluttered Environments with Graph Neural NetworksChris Xie, Arsalan Mousavian, Yu Xiang, Dieter Fox. 1655-1665 [doi]
• O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance LearningKaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su 0001, Leonidas J. Guibas. 1666-1677 [doi]
• What Matters in Learning from Offline Human Demonstrations for Robot ManipulationAjay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei 0001, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín. 1678-1690 [doi]
• Language Grounding with 3D ObjectsJesse Thomason, Mohit Shridhar, Yonatan Bisk, Chris Paxton, Luke Zettlemoyer. 1691-1701 [doi]
• Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-EnsembleSeunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin. 1702-1712 [doi]
• Equivariant Q Learning in Spatial Action SpacesDian Wang, Robin Walters, Xupeng Zhu, Robert Platt Jr.. 1713-1723 [doi]
• Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier FunctionsCharles Dawson, Zengyi Qin, Sicun Gao, Chuchu Fan. 1724-1735 [doi]
• Collect & Infer - a fresh look at data-efficient Reinforcement LearningMartin A. Riedmiller, Jost Tobias Springenberg, Roland Hafner, Nicolas Heess. 1736-1744 [doi]
• The Task Specification ProblemPulkit Agrawal. 1745-1751 [doi]
• Understanding the World Through ActionSergey Levine. 1752-1757 [doi]
• Continuous then discrete: A recommendation for building robotic brainsChris Eliasmith, P. Michael Furlong. 1758-1763 [doi]
• Back to Reality for Imitation LearningEdward Johns. 1764-1768 [doi]
• Robots on Demand: A Democratized Robotics Research CloudVictoria Dean, Yonadav G. Shavit, Abhinav Gupta 0001. 1769-1775 [doi]
• From Robot Learning To Robot Understanding: Leveraging Causal Graphical Models For RoboticsKaylene Caswell Stocking, Alison Gopnik, Claire J. Tomlin. 1776-1781 [doi]
• Learning to be Multimodal : Co-evolving Sensory Modalities and Sensor PropertiesRika Antonova, Jeannette Bohg. 1782-1788 [doi]
• RoboFlow: a Data-centric Workflow Management System for Developing AI-enhanced RobotsQinjie Lin, Guo Ye, Jiayi Wang, Han Liu. 1789-1794 [doi]
• Decentralized Sharing and Valuation of Fleet Robotic DataYuchong Geng, Dongyue Zhang, Po-han Li, Oguzhan Akcin, Ao Tang, Sandeep P. Chinchali. 1795-1800 [doi]
• Auditing Robot Learning for Safety and Compliance during DeploymentHomanga Bharadhwaj. 1801-1806 [doi]
• Toward robots that learn to summarize their actions in natural language: a set of tasksChad DeChant, Daniel Bauer. 1807-1813 [doi]
• Dual-Arm Adversarial Robot LearningElie Aljalbout. 1814-1819 [doi]