Table of Contents

• RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin EnvironmentsHaoyu Xiong, Haoyuan Fu, Jieyi Zhang, Chen Bao, Qiang Zhang, Yongxi Huang, Wenqiang Xu, Animesh Garg, Cewu Lu. 1-10 [doi]
• Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy LearningKun Huang, Edward S. Hu, Dinesh Jayaraman. 11-21 [doi]
• Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of BehaviorGabriel B. Margolis, Pulkit Agrawal. 22-31 [doi]
• Watch and Match: Supercharging Imitation with Regularized Optimal TransportSiddhant Haldar, Vaibhav Mathur, Denis Yarats, Lerrel Pinto. 32-43 [doi]
• Offline Reinforcement Learning for Visual NavigationDhruv Shah, Arjun Bhorkar, Hrishit Leen, Ilya Kostrikov, Nicholas Rhinehart, Sergey Levine. 44-54 [doi]
• Graph Inverse Reinforcement Learning from Diverse VideosSateesh Kumar, Jonathan Zamora, Nicklas Hansen 0001, Rishabh Jangir, Xiaolong Wang 0004. 55-66 [doi]
• Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian ProcessesJoe Watson, Jan Peters 0001. 67-79 [doi]
• BEHAVIOR-1K: A Benchmark for Embodied AI with 1, 000 Everyday Activities and Realistic SimulationChengshu Li 0002, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Michael Lingelbach, Jiankai Sun, Mona Anvari, Minjune Hwang, Manasi Sharma, Arman Aydin, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Silvio Savarese, Hyowon Gweon, Karen Liu, Jiajun Wu 0001, Li Fei-Fei 0001. 80-93 [doi]
• Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from DemonstrationsYanwei Wang, Nadia Figueroa, Shen Li, Ankit Shah 0003, Julie Shah. 94-105 [doi]
• Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor TasksKuan Fang, Patrick Yin, Ashvin Nair, Homer Walke, Gengchen Yan, Sergey Levine. 106-117 [doi]
• Real-time Mapping of Physical Scene Properties with an Autonomous Robot ExperimenterIain Haughton, Edgar Sucar, André Mouton, Edward Johns, Andrew J. Davison. 118-127 [doi]
• Robust Trajectory Prediction against Adversarial AttacksYulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone 0001. 128-137 [doi]
• Deep Whole-Body Control: Learning a Unified Policy for Manipulation and LocomotionZipeng Fu, Xuxin Cheng, Deepak Pathak. 138-149 [doi]
• Learning to Grasp the Ungraspable with Emergent Extrinsic DexterityWenxuan Zhou, David Held. 150-160 [doi]
• PRISM: Probabilistic Real-Time Inference in Spatial World ModelsAtanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer. 161-174 [doi]
• Instruction-driven history-aware policies for robotic manipulationsPierre-Louis Guhur, Shizhe Chen, Ricardo Garcia Pinel, Makarand Tapaswi, Ivan Laptev, Cordelia Schmid. 175-187 [doi]
• Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot CurriculaEli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O'Kelly, Payam Nikdel, Shimon Whiteson. 188-198 [doi]
• LEADER: Learning Attention over Driving Behaviors for Planning under UncertaintyMohamad Hosein Danesh, Panpan Cai, David Hsu. 199-211 [doi]
• i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction LoopsSaminda Wishwajith Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Marcin Choromanski, Pannag R. Sanketi. 212-224 [doi]
• Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for PlanningJan Achterhold, Markus Krimmel, Joerg Stueckler. 225-236 [doi]
• Meta-Learning Priors for Safe Bayesian OptimizationJonas Rothfuss, Christopher Koenig, Alisa Rupenyan, Andreas Krause 0001. 237-265 [doi]
• Planning Paths through Occlusions in Urban EnvironmentsYutao Han, Youya Xia, Guo-Jun Qi, Mark E. Campbell. 266-275 [doi]
• Rethinking Optimization with Differentiable Simulation from a Global PerspectiveRika Antonova, Jingyun Yang, Krishna Murthy Jatavallabhula, Jeannette Bohg. 276-286 [doi]
• Do As I Can, Not As I Say: Grounding Language in Robotic AffordancesBrian Ichter, Anthony Brohan, Yevgen Chebotar, Chelsea Finn, Karol Hausman, Alexander Herzog, Daniel Ho, Julian Ibarz, Alex Irpan, Eric Jang, Ryan Julian, Dmitry Kalashnikov, Sergey Levine, Yao Lu 0006, Carolina Parada, Kanishka Rao, Pierre Sermanet, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Mengyuan Yan, Noah Brown, Michael Ahn, Omar Cortes, Nicolas Sievers, Clayton Tan, Sichun Xu, Diego Reyes, Jarek Rettinghouse, Jornell Quiambao, Peter Pastor, Linda Luu, Kuang-Huei Lee, Yuheng Kuang, Sally Jesmonth, Nikhil J. Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, Chuyuan Kelly Fu. 287-318 [doi]
• MidasTouch: Monte-Carlo inference over distributions across sliding touchSudharshan Suresh, Zilin Si, Stuart Anderson, Michael Kaess, Mustafa Mukadam. 319-331 [doi]
• Learning Visuo-Haptic Skewering Strategies for Robot-Assisted FeedingPriya Sundaresan, Suneel Belkhale, Dorsa Sadigh. 332-341 [doi]
• Learning Agile Skills via Adversarial Imitation of Rough Partial DemonstrationsChenhao Li, Marin Vlastelica, Sebastian Blaes, Jonas Frey, Felix Grimminger, Georg Martius. 342-352 [doi]
• Evo-NeRF: Evolving NeRF for Sequential Robot Grasping of Transparent ObjectsJustin Kerr, Letian Fu, Huang Huang, Yahav Avigal, Matthew Tancik, Jeffrey Ichnowski, Angjoo Kanazawa, Ken Goldberg. 353-367 [doi]
• Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human SupervisionRyan Hoque, Lawrence Yunliang Chen, Satvik Sharma, Karthik Dharmarajan, Brijen Thananjeyan, Pieter Abbeel, Ken Goldberg. 368-380 [doi]
• RAP: Risk-Aware Prediction for Robust PlanningHaruki Nishimura, Jean Mercat, Blake Wulfe, Rowan Thomas McAllister, Adrien Gaidon. 381-392 [doi]
• Topological Semantic Graph Memory for Image-Goal NavigationNuri Kim, Obin Kwon, Hwiyeon Yoo, Yunho Choi, Jeongho Park, Songhwai Oh. 393-402 [doi]
• Legged Locomotion in Challenging Terrains using Egocentric VisionAnanye Agarwal, Ashish Kumar, Jitendra Malik, Deepak Pathak. 403-415 [doi]
• Real-World Robot Learning with Masked Visual Pre-trainingIlija Radosavovic, Tete Xiao, Stephen James, Pieter Abbeel, Jitendra Malik, Trevor Darrell. 416-426 [doi]
• SE(2)-Equivariant Pushing Dynamics Models for Tabletop Object ManipulationsSeungyeon Kim, Byeongdo Lim, Yonghyeon Lee, Frank C. Park 0001. 427-436 [doi]
• Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface EstimationZhi Liu, Shaoyu Chen, Xiaojie Guo, Xinggang Wang, Tianheng Cheng, Hongmei Zhu, Qian Zhang 0009, Wenyu Liu 0001, Yi Zhang. 437-446 [doi]
• HERD: Continuous Human-to-Robot Evolution for Learning from Human DemonstrationXingyu Liu, Deepak Pathak, Kris M. Kitani. 447-458 [doi]
• PlanT: Explainable Planning Transformers via Object-Level RepresentationsKatrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger 0001. 459-470 [doi]
• Where To Start? Transferring Simple Skills to Complex EnvironmentsVitalis Vosylius, Edward Johns. 471-481 [doi]
• Efficient and Stable Off-policy Training via Behavior-aware Evolutionary LearningMaiyue Chen, Guangyi He. 482-491 [doi]
• LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and ActionDhruv Shah, Blazej Osinski, Brian Ichter, Sergey Levine. 492-504 [doi]
• BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard EnvironmentZeyi Liu, Zhenjia Xu, Shuran Song. 505-515 [doi]
• NeuralGrasps: Learning Implicit Representations for Grasps of Multiple Robotic HandsNinad Khargonkar, Neil Song, Zesheng Xu, B. Prabhakaran 0001, Yu Xiang. 516-526 [doi]
• Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point CloudsMinghua Liu, Xuanlin Li, Zhan Ling, Yangyan Li, Hao Su 0001. 527-538 [doi]
• SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth EstimationYi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao, Guan Huang, Jiwen Lu, Jie Zhou 0001. 539-549 [doi]
• One-Shot Transfer of Affordance Regions? AffCorrs!Denis Hadjivelichkov, Sicelukwanda Zwane, Lourdes Agapito, Marc Peter Deisenroth, Dimitrios Kanoulas. 550-560 [doi]
• Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth CompletionKamil Adamczewski, Christos Sakaridis, Vaishakh Patil, Luc Van Gool. 561-570 [doi]
• Iterative Interactive Modeling for Knotting Plastic BagsChongkai Gao, Zekun Li, Haichuan Gao, Feng Chen. 571-582 [doi]
• Tailoring Visual Object Representations to Human Requirements: A Case Study with a Recycling RobotDebasmita Ghose, Michal Adam Lewkowicz, Kaleb Gezahegn, Julian Lee, Timothy Adamson, Marynel Vázquez, Brian Scassellati. 583-593 [doi]
• DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous ManipulationYuzhe Qin, Binghao Huang, Zhao-Heng Yin, Hao Su 0001, Xiaolong Wang 0004. 594-605 [doi]
• Interpretable Self-Aware Neural Networks for Robust Trajectory PredictionMasha Itkina, Mykel J. Kochenderfer. 606-617 [doi]
• Learning Generalizable Dexterous Manipulation from Human Grasp AffordanceYueh-Hua Wu, Jiashun Wang, Xiaolong Wang. 618-629 [doi]
• CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor SimulationJingkang Wang, Sivabalan Manivasagam, Yun Chen 0014, Ze Yang 0003, Ioan Andrei Barsan, Anqi Joyce Yang, Wei-Chiu Ma, Raquel Urtasun. 630-642 [doi]
• Semantic Abstraction: Open-World 3D Scene Understanding from 2D Vision-Language ModelsHuy Ha, Shuran Song. 643-653 [doi]
• VideoDex: Learning Dexterity from Internet VideosKenneth Shaw, Shikhar Bahl, Deepak Pathak. 654-665 [doi]
• Last-Mile Embodied Visual NavigationJustin Wasserman, Karmesh Yadav, Girish Chowdhary 0001, Abhinav Gupta, Unnat Jain. 666-678 [doi]
• Learning Preconditions of Hybrid Force-Velocity Controllers for Contact-Rich ManipulationJacky Liang, Xianyi Cheng, Oliver Kroemer. 679-689 [doi]
• Cross-Domain Transfer via Semantic Skill ImitationKarl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai. 690-700 [doi]
• Learning Neuro-Symbolic Skills for Bilevel PlanningTom Silver, Ashay Athalye, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling. 701-714 [doi]
• MegaPose: 6D Pose Estimation of Novel Objects via Render & CompareYann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic. 715-725 [doi]
• Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion TransformerHao Shao, Letian Wang, Ruobing Chen 0005, Hongsheng Li 0001, Yu Liu 0015. 726-737 [doi]
• A Dual Representation Framework for Robot Learning with Human GuidanceRuohan Zhang, Dhruva Bansal, Yilun Hao, Ayano Hiranaka, Jialu Gao, Chen Wang, Roberto Martín-Martín, Li Fei-Fei 0001, Jiajun Wu 0001. 738-750 [doi]
• Proactive slip control by learned slip model and trajectory adaptationKiyanoush Nazari, Willow Mandil, Amir Masoud Ghalamzan Esfahani. 751-761 [doi]
• Transferring Hierarchical Structures with Dual Meta Imitation LearningChongkai Gao, Yizhou Jiang, Feng Chen 0007. 762-773 [doi]
• Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion ForecastingParth Kothari, Danya Li, Yuejiang Liu, Alexandre Alahi. 774-784 [doi]
• Perceiver-Actor: A Multi-Task Transformer for Robotic ManipulationMohit Shridhar, Lucas Manuelli, Dieter Fox. 785-799 [doi]
• Synthesizing Adversarial Visual Scenarios for Model-Based Robotic ControlShubhankar Agarwal, Sandeep P. Chinchali. 800-811 [doi]
• CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario GenerationWenhao Ding, Haohong Lin, Bo Li, Ding Zhao. 812-823 [doi]
• Volumetric-based Contact Point Detection for 7-DoF GraspingJunhao Cai, Jingcheng Su, Zida Zhou, Hui Cheng, Qifeng Chen, Michael Yu Wang. 824-834 [doi]
• SE(3)-Equivariant Relational Rearrangement with Neural Descriptor FieldsAnthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez-Garcia, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal. 835-846 [doi]
• Learning Multi-Objective Curricula for Robotic Policy LearningJikun Kang, Miao Liu, Abhinav Gupta 0002, Christopher Pal, Xue (Steve) Liu, Jie Fu. 847-858 [doi]
• Rethinking Sim2Real: Lower Fidelity Simulation Leads to Higher Sim2Real Transfer in NavigationJoanne Truong, Max Rudolph, Naoki Yokoyama, Sonia Chernova, Dhruv Batra, Akshara Rai. 859-870 [doi]
• Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation TasksChristian Graf, David B. Adrian, Joshua Weil, Miroslav Gabriel, Philipp Schillinger, Markus Spies, Heiko Neumann, Andras Gabor Kupcsik. 871-880 [doi]
• Proactive Robot Assistance via Spatio-Temporal Object ModelingMaithili Patel, Sonia Chernova. 881-891 [doi]
• R3M: A Universal Visual Representation for Robot ManipulationSuraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta 0001. 892-909 [doi]
• Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine ApproachXiaosong Jia, Li Chen, Penghao Wu, Jia Zeng, Junchi Yan, Hongyang Li, Yu Qiao 0001. 910-920 [doi]
• Human-Robot Commensality: Bite Timing Prediction for Robot-Assisted Feeding in GroupsJan Ondras, Abrar Anwar, Tong Wu, Fanjun Bu, Malte Jung, Jorge Jose Ortiz, Tapomayukh Bhattacharjee. 921-933 [doi]
• Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent NavigationChenning Yu, Hongzhan Yu, Sicun Gao. 934-945 [doi]
• Socially-Attentive Policy Optimization in Multi-Agent Self-Driving SystemZipeng Dai, Tianze Zhou, Kun Shao, David Henry Mguni, Bin Wang, Jianye Hao. 946-955 [doi]
• Reciprocal MIND MELD: Improving Learning From Demonstration via Personalized, Reciprocal TeachingMariah L. Schrum, Erin Hedlund-Botti, Matthew C. Gombolay. 956-966 [doi]
• Motion Policy NetworksAdam Fishman, Adithyavairavan Murali, Clemens Eppner, Bryan Peele, Byron Boots, Dieter Fox. 967-977 [doi]
• Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic ApproachOguzhan Akcin, Po-han Li, Shubhankar Agarwal, Sandeep P. Chinchali. 978-988 [doi]
• CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse TransformersRunsheng Xu, Zhengzhong Tu, Hao Xiang, Wei Shao, Bolei Zhou, Jiaqi Ma. 989-1000 [doi]
• Selective Object Rearrangement in ClutterBingjie Tang, Gaurav S. Sukhatme. 1001-1010 [doi]
• Transformers Are Adaptable Task PlannersVidhi Jain, Yixin Lin, Eric Undersander, Yonatan Bisk, Akshara Rai. 1011-1037 [doi]
• ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point CloudsDaniel Seita, Yufei Wang, Sarthak J. Shetty, Edward Yao Li, Zackory Erickson, David Held. 1038-1049 [doi]
• Fusing Priori and Posteriori Metrics for Automatic Dataset Annotation of Planar GraspingHao Sha, Qianen Lai, Hongxiang Yu, Rong Xiong, Yue Wang 0020. 1050-1059 [doi]
• PoET: Pose Estimation Transformer for Single-View, Multi-Object 6D Pose EstimationThomas Jantos, Mohamed Amin Hamdad, Wolfgang Granig, Stephan Weiss 0002, Jan Steinbrener. 1060-1070 [doi]
• Out-of-Dynamics Imitation Learning from Multimodal DemonstrationsYiwen Qiu, Jialong Wu 0001, Zhangjie Cao, Mingsheng Long. 1071-1080 [doi]
• Domain Adaptation and Generalization: A Low-Complexity ApproachJoshua Niemeijer, Jörg Peter Schäfer. 1081-1091 [doi]
• COACH: Cooperative Robot TeachingCunjun Yu, Yiqing Xu, Linfeng Li, David Hsu. 1092-1103 [doi]
• TrackletMapper: Ground Surface Segmentation and Mapping from Traffic Participant TrajectoriesJannik Zürn, Sebastian Weber, Wolfram Burgard. 1104-1113 [doi]
• HUM3DIL: Semi-supervised Multi-modal 3D HumanPose Estimation for Autonomous DrivingAndrei Zanfir, Mihai Zanfir, Alexander N. Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu. 1114-1124 [doi]
• Laplace Approximation Based Epistemic Uncertainty Estimation in 3D Object DetectionPeng Yun, Ming Liu 0001. 1125-1135 [doi]
• Towards Online 3D Bin Packing: Learning Synergies between Packing and Unpacking via DRLShuai Song, Shuo Yang, Ran Song, Shilei Chu, Yibin Li 0001, Wei Zhang. 1136-1145 [doi]
• Reinforcement learning with Demonstrations from Mismatched Task under Sparse RewardYanjiang Guo, Jingyue Gao, Zheng Wu, Chengming Shi, Jianyu Chen. 1146-1156 [doi]
• Graph network simulators can learn discontinuous, rigid contact dynamicsKelsey R. Allen, Tatiana Lopez-Guevara, Yulia Rubanova, Kimberly Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff. 1157-1167 [doi]
• Particle-Based Score Estimation for State Space Model Learning in Autonomous DrivingAngad Singh, Omar Makhlouf, Maximilian Igl, João Messias, Arnaud Doucet, Shimon Whiteson. 1168-1177 [doi]
• Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic TasksIsabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt, Daniel F. B. Haeufle. 1178-1188 [doi]
• Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown EnvironmentsMatthew Budd, Paul Duckworth, Nick Hawes, Bruno Lacerda. 1189-1198 [doi]
• VIOLA: Object-Centric Imitation Learning for Vision-Based Robot ManipulationYifeng Zhu, Abhishek Joshi, Peter Stone, Yuke Zhu. 1199-1210 [doi]
• Learning Riemannian Stable Dynamical Systems via DiffeomorphismsJiechao Zhang, Hadi Beik Mohammadi, Leonel Rozo. 1211-1221 [doi]
• Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape AugmentationZoey Qiuyu Chen, Karl Van Wyk, Yu-Wei Chao, Wei Yang 0019, Arsalan Mousavian, Abhishek Gupta, Dieter Fox. 1222-1232 [doi]
• Learning Visualization Policies of Augmented Reality for Human-Robot CollaborationKishan Chandan, Jack Albertson, Shiqi Zhang 0001. 1233-1243 [doi]
• Deep Black-Box Reinforcement Learning with Movement PrimitivesFabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann. 1244-1265 [doi]
• Discriminator-Guided Model-Based Offline Imitation LearningWenJia Zhang, Haoran Xu, Haoyi Niu, Peng Cheng, Ming Li, Heming Zhang, Guyue Zhou, Xianyuan Zhan. 1266-1276 [doi]
• Representation Learning for Object Detection from Unlabeled Point Cloud SequencesXiangru Huang, Yue Wang, Vitor Campanholo Guizilini, Rares Andrei Ambrus, Adrien Gaidon, Justin M. Solomon. 1277-1288 [doi]
• Learning Interpretable BEV Based VIO without Deep Neural NetworksZexi Chen, Haozhe Du, Xuecheng Xu, Rong Xiong, Yiyi Liao, Yue Wang 0020. 1289-1298 [doi]
• Solving Complex Manipulation Tasks with Model-Assisted Model-Free Reinforcement LearningJianshu Hu, Paul Weng. 1299-1308 [doi]
• Robustness Certification of Visual Perception Models via Camera Motion SmoothingHanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao. 1309-1320 [doi]
• GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design AutomationJiaheng Hu, Julian Whitman, Howie Choset. 1321-1331 [doi]
• Masked World Models for Visual ControlYounggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel. 1332-1344 [doi]
• On-Robot Learning With Equivariant ModelsDian Wang, Mingxi Jia, Xupeng Zhu, Robin Walters, Robert Platt. 1345-1354 [doi]
• Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from DemonstrationMandy Xie, Ankur Handa, Stephen Tyree, Dieter Fox, Harish Ravichandar, Nathan D. Ratliff, Karl Van Wyk. 1355-1367 [doi]
• See, Hear, and Feel: Smart Sensory Fusion for Robotic ManipulationHao Li, Yizhi Zhang, Junzhe Zhu, Shaoxiong Wang, Michelle A. Lee, Huazhe Xu, Edward H. Adelson, Li Fei-Fei 0001, Ruohan Gao, Jiajun Wu 0001. 1368-1378 [doi]
• Inferring Versatile Behavior from Demonstrations by Matching Geometric DescriptorsNiklas Freymuth, Nicolas Schreiber, Aleksandar Taranovic, Philipp Becker, Gerhard Neumann. 1379-1389 [doi]
• Generative Category-Level Shape and Pose Estimation with Semantic PrimitivesGuanglin Li 0005, Yifeng Li, Zhichao Ye, Qihang Zhang, Tao Kong, Zhaopeng Cui, Guofeng Zhang 0001. 1390-1400 [doi]
• Learning Goal-Conditioned Policies Offline with Self-Supervised Reward ShapingLina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Alessandro Lazaric, Karteek Alahari. 1401-1410 [doi]
• ROS-PyBullet Interface: A Framework for Reliable Contact Simulation and Human-Robot InteractionChristopher E. Mower, Theodoros Stouraitis, João Moura 0003, Christian Rauch, Lei Yan, Nazanin Zamani Behabadi, Michael Gienger, Tom Vercauteren, Christos Bergeles, Sethu Vijayakumar. 1411-1423 [doi]
• PLATO: Predicting Latent Affordances Through Object-Centric PlaySuneel Belkhale, Dorsa Sadigh. 1424-1434 [doi]
• You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single ExampleWalter Goodwin, Ioannis Havoutis, Ingmar Posner. 1435-1445 [doi]
• ARC - Actor Residual Critic for Adversarial Imitation LearningAnkur Deka, Changliu Liu, Katia P. Sycara. 1446-1456 [doi]
• JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous DrivingWenjie Luo, Cheol Park, Andre Cornman, Benjamin Sapp, Dragomir Anguelov. 1457-1467 [doi]
• Online Inverse Reinforcement Learning with Learned Observation ModelSaurabh Arora, Prashant Doshi, Bikramjit Banerjee. 1468-1477 [doi]
• Hypernetworks in Meta-Reinforcement LearningJacob Beck, Matthew Thomas Jackson, Risto Vuorio, Shimon Whiteson. 1478-1487 [doi]
• Efficient Tactile Simulation with Differentiability for Robotic ManipulationJie Xu 0028, Sangwoon Kim, Tao Chen 0046, Alberto Rodriguez-Garcia, Pulkit Agrawal, Wojciech Matusik, Shinjiro Sueda. 1488-1498 [doi]
• Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option TemplatesSouradeep Dutta, Kaustubh Sridhar, Osbert Bastani, Edgar Dobriban, James Weimer, Insup Lee 0001, Julia Parish-Morris. 1499-1509 [doi]
• Learning Bimanual Scooping Policies for Food AcquisitionJennifer Grannen, Yilin Wu, Suneel Belkhale, Dorsa Sadigh. 1510-1519 [doi]
• SE(3)-Equivariant Point Cloud-Based Place RecognitionChien Erh Lin, Jingwei Song, Ray Zhang, Minghan Zhu, Maani Ghaffari. 1520-1530 [doi]
• Leveraging Language for Accelerated Learning of Tool ManipulationAllen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik R. Narasimhan, Anirudha Majumdar. 1531-1541 [doi]
• Adapting Neural Models with Sequential Monte Carlo DropoutPamela Carreno, Dana Kulic, Michael Burke. 1542-1552 [doi]
• Do we use the Right Measure? Challenges in Evaluating Reward Learning AlgorithmsNils Wilde, Javier Alonso-Mora. 1553-1562 [doi]
• Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic ProgrammingKrishna Murthy Jatavallabhula, Miles Macklin, Dieter Fox, Animesh Garg, Fabio Ramos 0001. 1563-1574 [doi]
• Deep Projective Rotation Estimation through Relative SupervisionBrian Okorn, Chuer Pan, Martial Hebert, David Held. 1575-1585 [doi]
• Learning Markerless Robot-Depth Camera Calibration and End-Effector Pose EstimationBugra Can Sefercik, Baris Akgün. 1586-1595 [doi]
• Visuotactile Affordances for Cloth Manipulation with Local ControlNeha Sunil, Shaoxiong Wang, Yu She, Edward H. Adelson, Alberto Rodriguez-Garcia. 1596-1606 [doi]
• Is Anyone There? Learning a Planner Contingent on Perceptual UncertaintyCharles Packer, Nicholas Rhinehart, Rowan Thomas McAllister, Matthew A. Wright, Xin Wang, Jeff He, Sergey Levine, Joseph E. Gonzalez. 1607-1617 [doi]
• Touching a NeRF: Leveraging Neural Radiance Fields for Tactile Sensory Data GenerationShaohong Zhong, Alessandro Albini, Oiwi Parker Jones, Perla Maiolino, Ingmar Posner. 1618-1628 [doi]
• HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce AlgorithmKasun Weerakoon, Souradip Chakraborty, Nare Karapetyan, Adarsh Jagan Sathyamoorthy, Amrit S. Bedi, Dinesh Manocha. 1629-1639 [doi]
• Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object ManipulationXingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held. 1640-1651 [doi]
• Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement LearningHomer Walke, Jonathan Yang, Albert Yu, Aviral Kumar, Jedrzej Orbik, Avi Singh, Sergey Levine. 1652-1662 [doi]
• LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic SegmentationFlorent Bartoccioni, Eloi Zablocki, Andrei Bursuc, Patrick Pérez, Matthieu Cord, Karteek Alahari. 1663-1672 [doi]
• Leveraging Fully Observable Policies for Learning under Partial ObservabilityHai Nguyen, Andrea Baisero, Dian Wang, Christopher Amato, Robert Platt. 1673-1683 [doi]
• Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot ManipulationYifan Zhou, Shubham D. Sonawani, Mariano J. Phielipp, Simon Stepputtis, Heni Ben Amor. 1684-1695 [doi]
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