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GeezerVison is showing proceedings.mlr.press — Proceedings of Machine Learning Research [edit] Volume 155: Conference on Robot Learning, 16-18 November 2020, virtual[edit] Editors: Jens Kober, Fabio Ramos, Claire Tomlin Filter Authors: Filter Titles: Learning a Decision Module by Imitating Driver’s Control Behaviors Junning Huang, Sirui Xie, Jiankai Sun, Qiurui Ma, Chunxiao Liu, Dahua Lin, Bolei Zhou; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1-10 Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting Xinshuo Weng, Jianren Wang, Sergey Levine, Kris Kitani, Nicholas Rhinehart; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:11-20 [abs][Download PDF] Neuro-Symbolic Program Search for Autonomous Driving Decision Module Design Jiankai Sun, Hao Sun, Tian Han, Bolei Zhou; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:21-30 LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, sida zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:31-48 [abs][Download PDF] DROGON: A Trajectory Prediction Model based on Intention-Conditioned Behavior Reasoning Chiho Choi, Srikanth Malla, Abhishek Patil, Joon Hee Choi; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:49-63 [abs][Download PDF] CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Kaelbling, Tomas Lozano-Perez; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:64-79 [abs][Download PDF] Augmenting GAIL with BC for sample efficient imitation learning Rohit Jena, Changliu Liu, Katia Sycara; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:80-90 [abs][Download PDF] From pixels to legs: Hierarchical learning of quadruped locomotion Deepali Jain, Ken Caluwaerts, Atil Iscen; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:91-102 [abs][Download PDF] Learning a Decentralized Multi-Arm Motion Planner Huy Ha, Jingxi Xu, Shuran Song; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:103-114 [abs][Download PDF] SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks Yan Xu, Zhaoyang Huang, Kwan-Yee Lin, Xinge Zhu, Jianping Shi, Hujun Bao, Guofeng Zhang, Hongsheng Li; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:115-125 [abs][Download PDF] Learning 3D Dynamic Scene Representations for Robot Manipulation Zhenjia Xu, Zhanpeng He, Jiajun Wu, Shuran Song; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:126-142 [abs][Download PDF] CoT-AMFlow: Adaptive Modulation Network with Co-Teaching Strategy for Unsupervised Optical Flow Estimation Hengli Wang, Rui Fan, Ming Liu; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:143-155 [abs][Download PDF] SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:156-175 [abs][Download PDF] Fit2Form: 3D Generative Model for Robot Gripper Form Design Huy Ha, Shubham Agrawal, Shuran Song; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:176-187 Accelerating Reinforcement Learning with Learned Skill Priors Karl Pertsch, Youngwoon Lee, Joseph Lim; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:188-204 [abs][Download PDF] Positive-Unlabeled Reward Learning Danfei Xu, Misha Denil; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:205-219 [abs][Download PDF] GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection Kuang-Yu Jeng, Yueh-Cheng Liu, Zhe Yu Liu, Jen-Wei Wang, Ya-Liang Chang, Hung-Ting Su, Winston Hsu; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:220-231 [abs][Download PDF] Action-based Representation Learning for Autonomous Driving Yi Xiao, Felipe Codevilla, Christopher Pal, Antonio Lopez; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:232-246 [abs][Download PDF] Task-Relevant Adversarial Imitation Learning Konrad Zolna, Scott Reed, Alexander Novikov, Sergio Gómez Colmenarejo, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:247-263 [abs][Download PDF] SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving Ming Zhou, Jun Luo, Julian Villella, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, IMAN FADAKAR, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, dong chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:264-285 [abs][Download PDF] Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds Tai Wang, Xinge Zhu, Dahua Lin; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:286-295 Learning Object Manipulation Skills via Approximate State Estimation from Real Videos Vladimír Petrík, Makarand Tapaswi, Ivan Laptev, Josef Sivic; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:296-312 [abs][Download PDF] Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents Samyak Datta, Oleksandr Maksymets, Judy Hoffman, Stefan Lee, Dhruv Batra, Devi Parikh; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:313-328 [abs][Download PDF] PLOP: Probabilistic Polynomial Objects trajectory Prediction for autonomous driving Thibault Buhet, Emilie Wirbel, Andrei Bursuc, Xavier Perrotton; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:329-338 [abs][Download PDF] Reinforcement Learning with Videos: Combining Offline Observations with Interaction Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, Chelsea Finn; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:339-354 [abs][Download PDF] Learning Obstacle Representations for Neural Motion Planning Robin STRUDEL, Ricardo Garcia Pinel, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:355-364 [abs][Download PDF] CLOUD: Contrastive Learning of Unsupervised Dynamics Jianren Wang, Yujie Lu, Hang Zhao; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:365-376 [abs][Download PDF] Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects Michael Danielczuk, Ashwin Balakrishna, Daniel Brown, Ken Goldberg; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:377-393 [abs][Download PDF] Attention-Privileged Reinforcement Learning Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:394-408 [abs][Download PDF] One Thousand and One Hours: Self-driving Motion Prediction Dataset John Houston, Guido Zuidhof, Luca Bergamini, Yawei Ye, Long Chen, Ashesh Jain, Sammy Omari, Vladimir Iglovikov, Peter Ondruska; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:409-418 [abs][Download PDF] Recovering and Simulating Pedestrians in the Wild Ze Yang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:419-431 [abs][Download PDF] SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation Xingyu Lin, Yufei Wang, Jake Olkin, David Held; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:432-448 [abs][Download PDF] S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency Mel Vecerik, Jean-Baptiste Regli, Oleg Sushkov, David Barker, Rugile Pevceviciute, Thomas Rothörl, Raia Hadsell, Lourdes Agapito, Jonathan Scholz; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:449-460 [abs][Download PDF] Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation Yu Xiang, Christopher Xie, Arsalan Mousavian, Dieter Fox; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:461-470 [abs][Download PDF] Modeling Long-horizon Tasks as Sequential Interaction Landscapes Soeren Pirk, Karol Hausman, Alexander Toshev, Mohi Khansari; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:471-484 [abs][Download PDF] PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards Prasoon Goyal, Scott Niekum, Raymond Mooney; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:485-497 [abs][Download PDF] Auxiliary Tasks Speed Up Learning Point Goal Navigation Joel Ye, Dhruv Batra, Erik Wijmans, Abhishek Das; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:498-516 [abs][Download PDF] Learning hierarchical relationships for object-goal navigation Anwesan Pal, Yiding Qiu, Henrik Christensen; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:517-528 [abs][Download PDF] f-IRL: Inverse Reinforcement Learning via State Marginal Matching Tianwei Ni, Harshit Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Ben Eysenbach; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:529-551 [abs][Download PDF] Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing Ignat Georgiev, Christoforos Chatzikomis, Timo Voelkl, Joshua Smith, Michael Mistry; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:552-563 [abs][Download PDF] Learning Predictive Representations for Deformable Objects Using Contrastive Estimation Wilson Yan, Ashwin Vangipuram, Pieter Abbeel, Lerrel Pinto; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:564-574 [abs][Download PDF] Learning Latent Representations to Influence Multi-Agent Interaction Annie Xie, Dylan Losey, Ryan Tolsma, Chelsea Finn, Dorsa Sadigh; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:575-588 [abs][Download PDF] Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments Jun Yamada, Youngwoon Lee, Gautam Salhotra, Karl Pertsch, Max Pflueger, Gaurav Sukhatme, Joseph Lim, Peter Englert; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:589-603 [abs][Download PDF] The EMPATHIC Framework for Task Learning from Implicit Human Feedback Yuchen Cui, Qiping Zhang, Brad Knox, Alessandro Allievi, Peter Stone, Scott Niekum; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:604-626 [abs][Download PDF] Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection Alex Bewley, Pei Sun, Thomas Mensink, Dragomir Anguelov, Cristian Sminchisescu; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:627-641 [abs][Download PDF] High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards Kai Ploeger, Michael Lutter, Jan Peters; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:642-653 [abs][Download PDF] Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions Sarah Dean, Andrew Taylor, Ryan Cosner, Benjamin Recht, Aaron Ames; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:654-670 [abs][Download PDF] Sim-to-Real Transfer for Vision-and-Language Navigation Peter Anderson, Ayush Shrivastava, Joanne Truong, Arjun Majumdar, Devi Parikh, Dhruv Batra, Stefan Lee; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:671-681 Interactive Imitation Learning in State-Space Snehal Jauhri, Carlos Celemin, Jens Kober; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:682-692 [abs][Download PDF] Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning Lucas Manuelli, Yunzhu Li, Pete Florence, Russ Tedrake; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:693-710 [abs][Download PDF] Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous Rose Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:711-725 [abs][Download PDF] Transporter Networks: Rearranging the Visual World for Robotic Manipulation Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:726-747 [abs][Download PDF] Assisted Perception: Optimizing Observations to Communicate State Siddharth Reddy, Sergey Levine, Anca Dragan; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:748-764 [abs][Download PDF] Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning Vaisakh Shaj, Philipp Becker, Dieter Büchler, Harit Pandya, Niels van Duijkeren, C. James Taylor, Marc Hanheide, Gerhard Neumann; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:765-781 [abs][Download PDF] Untangling Dense Knots by Learning Task-Relevant Keypoints Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Jeffrey Ichnowski, Ashwin Balakrishna, Vainavi Viswanath, Michael Laskey, Joseph Gonzalez, Ken Goldberg; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:782-800 [abs][Download PDF] Safe Policy Learning for Continuous Control Yinlam Chow, Ofir Nachum, Aleksandra Faust, Edgar Dueñez-Guzman, Mohammad Ghavamzadeh; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:801-821 [abs][Download PDF] Learning to Compose Hierarchical Object-Centric Controllers for Robotic Manipulation Mohit Sharma, Jacky Liang, Jialiang Zhao, Alex Lagrassa, Oliver Kroemer; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:822-844 [abs][Download PDF] Relational Learning for Skill Preconditions Mohit Sharma, Oliver Kroemer; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:845-861 [abs][Download PDF] Social-VRNN: One-Shot Multi-modal Trajectory Prediction for Interacting Pedestrians Bruno Ferreira de Brito, Hai Zhu, Wei Pan, Javier Alonso-Mora; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:862-872 [abs][Download PDF] MuGNet: Multi-Resolution Graph Neural Network for Segmenting Large-Scale Pointclouds Liuyue Xie, Tomotake Furuhata, Kenji Shimada; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:873-882 [abs][Download PDF] Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Anima Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:883-894 [abs][Download PDF] TNT: Target-driven Trajectory Prediction Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Ben Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:895-904 [abs][Download PDF] Planning Paths Through Unknown Space by Imagining What Lies Therein Yutao Han, Jacopo Banfi, Mark Campbell; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:905-914 Learning Dexterous Manipulation from Suboptimal Experts Rae Jeong, Jost Tobias Springenberg, Jackie Kay, Dan Zheng, Alexandre Galashov, Nicolas Heess, Francesco Nori; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:915-934 [abs][Download PDF] STReSSD: Sim-To-Real from Sound for Stochastic Dynamics Carolyn Matl, Yashraj Narang, Dieter Fox, Ruzena Bajcsy, Fabio Ramos; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:935-958 [abs][Download PDF] Contrastive Variational Reinforcement Learning for Complex Observations Xiao Ma, SIWEI CHEN, David Hsu, Wee Sun Lee; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:959-972 [abs][Download PDF] Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs Sean Segal, Eric Kee, Wenjie Luo, Abbas Sadat, Ersin Yumer, Raquel Urtasun; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:973-983 Asynchronous Deep Model Reference Adaptive Control Girish Joshi, Jasvir Virdi, Girish Chowdhary; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:984-1000 [abs][Download PDF] Probably Approximately Correct Vision-Based Planning using Motion Primitives Sushant Veer, Anirudha Majumdar; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1001-1014 [abs][Download PDF] Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering Maria Bauza Villalonga, Alberto Rodriguez, Bryan Lim, Eric Valls, Theo Sechopoulos; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1015-1029 [abs][Download PDF] ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning Yufei Wang, Narasimhan Gautham, Xingyu Lin, Brian Okorn, David Held; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1030-1048 [abs][Download PDF] Sample-efficient Cross-Entropy Method for Real-time Planning Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Joerg Stueckler, Michal Rolinek, Georg Martius; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1049-1065 [abs][Download PDF] Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays Sandeep Singh Sandha, Luis Garcia, Bharathan Balaji, Fatima Anwar, Mani Srivastava; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1066-1083 [abs][Download PDF] Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion Roland Hafner, Tim Hertweck, Philipp Kloeppner, Michael Bloesch, Michael Neunert, Markus Wulfmeier, Saran Tunyasuvunakool, Nicolas Heess, Martin Riedmiller; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1084-1099 [abs][Download PDF] IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping Sadegh Rabiee, Joydeep Biswas; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1100-1109 [abs][Download PDF] Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha, Peng Xu, Zhenyu Tan, Sergey Levine, Jie Tan; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1110-1120 [abs][Download PDF] Generation of Realistic Images for Learning in Simulation using FeatureGAN Nicolas Cruz, Javier Ruiz-del-Solar; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1121-1136 [abs][Download PDF] Incremental learning of EMG-based control commands using Gaussian Processes Felix Schiel, Annette Hagengruber, Jörn Vogel, Rudolph Triebel; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1137-1146 Flightmare: A Flexible Quadrotor Simulator Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1147-1157 [abs][Download PDF] Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning Tianjian Chen, Zhanpeng He, Matei Ciocarlie; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1158-1173 [abs][Download PDF] StrObe: Streaming Object Detection from LiDAR Packets Davi Frossard, Shun Da Suo, Sergio Casas, James Tu, Raquel Urtasun; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1174-1183 Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps Jialiang Zhao, Daniel Troniak, Oliver Kroemer; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1184-1194 [abs][Download PDF] Learning to Communicate and Correct Pose Errors Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1195-1210 [abs][Download PDF] Visual Localization and Mapping with Hybrid SFA Muhammad Haris, Mathias Franzius, Ute Bauer-Wersing, Sai Krishna Kaushik Karanam; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1211-1220 [abs][Download PDF] EXI-Net: EXplicitly/Implicitly Conditioned Network for Multiple Environment Sim-to-Real Transfer Takayuki Murooka, Masashi Hamaya, Felix von Drigalski, Kazutoshi Tanaka, Yoshihisa Ijiri; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1221-1230 [abs][Download PDF] Self-Supervised Object-in-Gripper Segmentation from Robotic Motions Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1231-1245 [abs][Download PDF] MELD: Meta-Reinforcement Learning from Images via Latent State Models Zihao Zhao, Anusha Nagabandi, Kate Rakelly, Chelsea Finn, Sergey Levine; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1246-1261 [abs][Download PDF] Learning from Suboptimal Demonstration via Self-Supervised Reward Regression Letian Chen, Rohan Paleja, Matthew Gombolay; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1262-1277 [abs][Download PDF] Stein Variational Model Predictive Control Alexander Lambert, Fabio Ramos, Byron Boots, Dieter Fox, Adam Fishman; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1278-1297 [abs][Download PDF] Learning Interactively to Resolve Ambiguity in Reference Frame Selection Giovanni Franzese, Carlos Celemin, Jens Kober; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1298-1311 [abs][Download PDF] Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning Le Chen, Yunke Ao, Florian Tschopp, Andrei Cramariuc, Michel Breyer, Jen Jen Chung, Roland Siegwart, Cesar Cadena; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1312-1325 [abs][Download PDF] A User’s Guide to Calibrating Robotic Simulators Bhairav Mehta, Ankur Handa, Dieter Fox, Fabio Ramos; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1326-1340 [abs][Download PDF] Learning Stability Certificates from Data Nicholas Boffi, Stephen Tu, Nikolai Matni, Jean-Jacques Slotine, Vikas Sindhwani; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1341-1350 [abs][Download PDF] Learning Hybrid Control Barrier Functions from Data Lars Lindemann, Haimin Hu, Alexander Robey, Hanwen Zhang, Dimos Dimarogonas, Stephen Tu, Nikolai Matni; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1351-1370 [abs][Download PDF] Map-Adaptive Goal-Based Trajectory Prediction Lingyao Zhang, Po-Hsun Su, Jerrick Hoang, Galen Clark Haynes, Micol Marchetti-Bowick; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1371-1383 [abs][Download PDF] The RobotSlang Benchmark: Dialog-guided Robot Localization and Navigation Shurjo Banerjee, Jesse Thomason, Jason Corso; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1384-1393 [abs][Download PDF] The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning Jan Blumenkamp, Amanda Prorok; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1394-1414 [abs][Download PDF] Learning rich touch representations through cross-modal self-supervision Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1415-1425 Generalization Guarantees for Imitation Learning Allen Ren, Sushant Veer, Anirudha Majumdar; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1426-1442 [abs][Download PDF] Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments Tianchen Ji, Sri Theja Vuppala, Girish Chowdhary, Katherine Driggs-Campbell; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1443-1455 [abs][Download PDF] Generative adversarial training of product of policies for robust and adaptive movement primitives Emmanuel Pignat, Hakan Girgin, Sylvain Calinon; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1456-1470 [abs][Download PDF] Robot Action Selection Learning via Layered Dimension Informed Program Synthesis Jarrett Holtz, Arjun Guha, Joydeep Biswas; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1471-1480 [abs][Download PDF] Policy learning in SE(3) action spaces Dian Wang, Colin Kohler, Robert Platt; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1481-1497 [abs][Download PDF] Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity William Agnew, Christopher Xie, Aaron Walsman, Octavian Murad, Yubo Wang, Pedro Domingos), Siddhartha Srinivasa; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1498-1508 Learning an Expert Skill-Space for Replanning Dynamic Quadruped Locomotion over Obstacles David Surovik, Oliwier Melon, Mathieu Geisert, Maurice Fallon, Ioannis Havoutis; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1509-1518 [abs][Download PDF] Learning Certified Control Using Contraction Metric Dawei Sun, Susmit Jha, Chuchu Fan; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1519-1539 [abs][Download PDF] Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping Adithyavairavan Murali, Weiyu Liu, Kenneth Marino, Sonia Chernova, Abhinav Gupta; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1540-1557 [abs][Download PDF] DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer Ajay Tanwani; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1558-1571 [abs][Download PDF] Learning Hierarchical Task Networks with Preferences from Unannotated Demonstrations Kevin Chen, Nithin Shrivatsav Srikanth, David Kent, Harish Ravichandar, Sonia Chernova; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1572-1581 [abs][Download PDF] A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects Anthony Simeonov, Yilun Du, Beomjoon Kim, Francois Hogan, Joshua Tenenbaum, Pulkit Agrawal, Alberto Rodriguez; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1582-1601 [abs][Download PDF] Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter Michel Breyer, Jen Jen Chung, Lionel Ott, Roland Siegwart, Juan Nieto; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1602-1611 [abs][Download PDF] Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations Glen Chou, Dmitry Berenson, Necmiye Ozay; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1612-1639 [abs][Download PDF] Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability Hai Nguyen, Brett Daley, Xinchao Song, Christopher Amato, Robert Platt; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1640-1653 [abs][Download PDF] Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes Paul Duckworth, Bruno Lacerda, Nick Hawes; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1654-1668 [abs][Download PDF] 3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators Hsiao-Yu Tung, Zhou Xian, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1669-1683 [abs][Download PDF] Learning Object-conditioned Exploration using Distributed Soft Actor Critic Ayzaan Wahid, Austin Stone, Kevin Chen, Brian Ichter, Alexander Toshev; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1684-1695 [abs][Download PDF] Fast robust peg-in-hole insertion with continuous visual servoing Rasmus Haugaard, Jeppe Langaa, Christoffer Sloth, Anders Buch; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1696-1705 [abs][Download PDF] Learning a natural-language to LTL executable semantic parser for grounded robotics Christopher Wang, Candace Ross, Yen-Ling Kuo, Boris Katz, Andrei Barbu; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1706-1718 [abs][Download PDF] PLAS: Latent Action Space for Offline Reinforcement Learning Wenxuan Zhou, Sujay Bajracharya, David Held; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1719-1735 [abs][Download PDF] Unsupervised Metric Relocalization Using Transform Consistency Loss Mike Kasper, Fernando Nobre, Christoffer Heckman, Nima Keivan; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1736-1745 [abs][Download PDF] MultiPoint: Cross-spectral registration of thermal and optical aerial imagery Florian Achermann, Andrey Kolobov, Debadeepta Dey, Timo Hinzmann, Jen Jen Chung, Roland Siegwart, Nicholas Lawrance; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1746-1760 [abs][Download PDF] TartanVO: A Generalizable Learning-based VO Wenshan Wang, Yaoyu Hu, Sebastian Scherer; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1761-1772 [abs][Download PDF] Soft Multicopter Control Using Neural Dynamics Identification Yitong Deng, Yaorui Zhang, Xingzhe He, Shuqi Yang, Yunjin Tong, Michael Zhang, Daniel DiPietro, Bo Zhu; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1773-1782 Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs Marcus Pereira, Ziyi Wang, Ioannis Exarchos, Evangelos Theodorou; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1783-1801 [abs][Download PDF] Diverse Plausible Shape Completions from Ambiguous Depth Images Bradley Saund, Dmitry Berenson; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1802-1813 [abs][Download PDF] Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems Sushmita Bhattacharya, Siva Kailas, Sahil Badyal, Stephanie Gil, Dimitri Bertsekas; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1814-1828 [abs][Download PDF] Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following Valts Blukis, Ross Knepper, Yoav Artzi; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1829-1854 [abs][Download PDF] Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1855-1870 [abs][Download PDF] TriFinger: An Open-Source Robot for Learning Dexterity Manuel Wuthrich, Felix Widmaier, Felix Grimminger, Shruti Joshi, Vaibhav Agrawal, Bilal Hammoud, Majid Khadiv, Miroslav Bogdanovic, Vincent Berenz, Julian Viereck, Maximilien Naveau, Ludovic Righetti, Bernhard Schölkopf, Stefan Bauer; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1871-1882 [abs][Download PDF] Learning to Improve Multi-Robot Hallway Navigation Jin Soo Park, Brian Tsang, Harel Yedidsion, Garrett Warnell, Daehyun Kyoung, Peter Stone; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1883-1895 [abs][Download PDF] ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing Mete Akbulut, Erhan Oztop, Muhammet Yunus Seker, Hh X, Ahmet Tekden, Emre Ugur; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1896-1907 [abs][Download PDF] Unsupervised Monocular Depth Learning in Dynamic Scenes Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1908-1917 BayesRace: Learning to race autonomously using prior experience Achin Jain, Matthew O’Kelly, Pratik Chaudhari, Manfred Morari; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1918-1929 [abs][Download PDF] Model-Based Inverse Reinforcement Learning from Visual Demonstrations Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1930-1942 [abs][Download PDF] Deep Reactive Planning in Dynamic Environments Kei Ota, Devesh Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1943-1957 [abs][Download PDF] Reactive motion planning with probabilisticsafety guarantees Yuxiao Chen, Ugo Rosolia, Chuchu Fan, Aaron Ames, Richard Murray; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1958-1970 [abs][Download PDF] Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps Chengguang Xu, Christopher Amato, Lawson Wong; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1971-1991 [abs][Download PDF] Visual Imitation Made Easy Sarah Young, Dhiraj Gandhi, Shubham Tulsiani, Abhinav Gupta, Pieter Abbeel, Lerrel Pinto; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1992-2005 [abs][Download PDF] DeepMPCVS: Deep Model Predictive Control for Visual Servoing Pushkal Katara, Harish YVS, Harit Pandya, Abhinav Gupta, AadilMehdi Sanchawala, Gourav Kumar, Brojeshwar Bhowmick, Madhava Krishna; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2006-2015 Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control Guangzhi Tang, Neelesh Kumar, Raymond Yoo, Konstantinos Michmizos; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2016-2029 [abs][Download PDF] Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion Boshen Niu, Chenxi Wang, Changliu Liu; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2030-2039 [abs][Download PDF] Learning Vision-based Reactive Policies for Obstacle Avoidance Elie Aljalbout, Ji Chen, Konstantin Ritt, Maximilian Ulmer, Sami Haddadin; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2040-2054 [abs][Download PDF] Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling Thomas Lew, Marco Pavone; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2055-2070 [abs][Download PDF] Transformers for One-Shot Visual Imitation Sudeep Dasari, Abhinav Gupta; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2071-2084 [abs][Download PDF] Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Patric Jensfelt, Adrien Gaidon; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2085-2103 [abs][Download PDF] Self-Supervised Learning of Scene-Graph Representations for Robotic Sequential Manipulation Planning Son Nguyen, Ozgur Oguz, Valentin Hartmann, Marc Toussaint; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2104-2119 [abs][Download PDF] Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning Ryan Julian, Benjamin Swanson, Gaurav Sukhatme, Sergey Levine, Chelsea Finn, Karol Hausman; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2120-2136 [abs][Download PDF] Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning Sean Gillen, Katie Byl; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2137-2147 [abs][Download PDF] S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds Ran Cheng, Christopher Agia, Yuan Ren, Xinhai Li, Liu Bingbing; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2148-2161 [abs][Download PDF] Chaining Behaviors from Data with Model-Free Reinforcement Learning Avi Singh, Albert Yu, Jonathan Yang, Jesse Zhang, Aviral Kumar, Sergey Levine; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2162-2177 [abs][Download PDF] Differentiable Logic Layer for Rule Guided Trajectory Prediction Xiao Li, Guy Rosman, Igor Gilitschenski, Jonathan DeCastro, Cristian-Ioan Vasile, Sertac Karaman, Daniela Rus; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2178-2194 [abs][Download PDF] Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes Feng Gao, Jincheng Yu, Hao Shen, Yu Wang, Huazhong Yang; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2195-2205 [abs][Download PDF] Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity Tanmay Gangwani, Jian Peng, Yuan Zhou; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2206-2215 Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections Junha Roh, Christoforos Mavrogiannis, Rishabh Madan, Dieter Fox, Siddhartha Srinivasa; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2216-2227 [abs][Download PDF] Learning from Demonstrations using Signal Temporal Logic Aniruddh Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2228-2242 [abs][Download PDF] MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2243-2256 [abs][Download PDF] Robust Quadrupedal Locomotion on Sloped Terrains: A Linear Policy Approach Kartik Paigwar, Lokesh Krishna, sashank tirumala, naman khetan, aditya varma, ashish joglekar, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2257-2267 [abs][Download PDF] Learning Predictive Models for Ergonomic Control of Prosthetic Devices GEOFFEY CLARK, Joseph Campbell, Heni Ben Amor; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2268-2278 ContactNets: Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations Samuel Pfrommer, Mathew Halm, Michael Posa; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2279-2291 [abs][Download PDF] Learning Equality Constraints for Motion Planning on Manifolds Giovanni Sutanto, Isabel Rayas Fernández, Peter Englert, Ragesh Kumar Ramachandran, Gaurav Sukhatme; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2292-2305 [abs][Download PDF] Multi-Level Structure vs. End-to-End-Learning in High-Performance Tactile Robotic Manipulation Florian Voigt, Lars Johannsmeier, Sami Haddadin; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2306-2316 [abs][Download PDF] Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience Robert Lee, Daniel Ward, Vibhavari Dasagi, Akansel Cosgun, Juxi Leitner, Peter Corke; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2317-2327 [abs][Download PDF] Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation Bryan Chen, Alexander Sax, Francis Lewis, Iro Armeni, Silvio Savarese, Amir Zamir, Jitendra Malik, Lerrel Pinto; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2328-2346 [abs][Download PDF] Towards Autonomous Eye Surgery by Combining Deep Imitation Learning with Optimal Control Ji Woong Kim, Peiyao Zhang, Peter Gehlbach, Iulian Iordachita, Marin Kobilarov; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2347-2358 [abs][Download PDF] Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements Matching Zexi Chen, Xuecheng Xu, Yue Wang, Rong Xiong; Proceedings of the 2020 Conference on Robot Learning, PMLR 155:2359-2375 [abs][Download PDF] subscribe via RSS |
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