ICRA 2023

1655 papers · 0 AI summaries · 2023

AI summary only

1648 result(s) for “Deep Learning in Robotics and Automation” Page 10 of 33

	Title & Authors	Actions
	Learning to Play Table Tennis from Scratch Using Muscular Robots Büchler, Dieter,Guist, Simon,Calandra, Roberto,Berenz, Vincent,Schölkopf, Bernhard,Peters, Jan	View PDF
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	FDLNet: Boosting Real-Time Semantic Segmentation by Image-Size Convolution Via Frequency Domain Learning Qingqing Yan, Shu Li, Chengju Liu, Ming Liu, Qijun Chen	View PDF
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	Learning to Estimate 3-D States of Deformable Linear Objects from Single-Frame Occluded Point Clouds Kangchen Lv, Mingrui Yu, Yifan Pu, Xin Jiang, Gao Huang, Xiang LI	View PDF
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	Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning Eric Vollenweider, Marko Bjelonic, Victor Klemm, Nikita Rudin, joonho lee, Marco Hutter	View PDF
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	Efficient Planning of Multi-Robot Collective Transport Using Graph Reinforcement Learning with Higher Order Topological Abstraction Steve Paul, Wenyuan Li, Brian Smyth, Yuzhou Chen, Yulia Gel, Souma Chowdhury	View PDF
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	Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation Mengxi Li, Rika Antonova, Dorsa Sadigh, Jeannette Bohg	View PDF
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	Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models Yi Liu, Gaurav Datta, Ellen Novoseller, Daniel Brown	View PDF
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	Multimodal Time Series Learning of Robots Based on Distributed and Integrated Modalities: Verification with a Simulator and Actual Robots Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata	View PDF
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	Sample Efficient Dynamics Learning for Symmetrical Legged Robots: Leveraging Physics Invariance and Geometric Symmetries Jee-eun Lee, Jaemin Lee, Tirthankar Bandyopadhyay, Luis Sentis	View PDF
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	LGCNet: Feature Enhancement and Consistency Learning Based on Local and Global Coherence Network for Correspondence Selection Tzu-Han Wu, Kuan-Wen Chen	View PDF
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	Learning State Conditioned Linear Mappings for Low-Dimensional Control of Robotic Manipulators Michael Przystupa, Kerrick Johnstonbaugh, Zichen Zhang, Laura Petrich, Masood Dehghan, Faezeh Haghverd, Martin Jagersand	View PDF
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	Learning Category-Level Manipulation Tasks from Point Clouds with Dynamic Graph CNNs Junchi Liang, Abdeslam Boularias	View PDF
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	Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways Jin Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, Peter Stone	View PDF
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	Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios Zhili Zhang, Songyang Han, Jiangwei Wang, Fei Miao	View PDF
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	Meta Reinforcement Learning for Optimal Design of Legged Robots Alvaro Belmonte-Baeza, joonho lee, Giorgio Valsecchi, Marco Hutter	View PDF
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	EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, David Held, Zackory Erickson, Danica Kragic	View PDF
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	Learning Food Picking without Food: Fracture Anticipation by Breaking Reusable Fragile Objects Rinto Yagawa, Reina Ishikawa, Masashi Hamaya, Kazutoshi Tanaka, Atsushi Hashimoto, Hideo Saito	View PDF
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	Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving Ryan Cosner, Yuxiao Chen, Karen Leung, Marco Pavone	View PDF
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	Learning Reward Functions for Robotic Manipulation by Observing Humans Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid	View PDF
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	Self-Supervised Learning of Action Affordances As Interaction Modes Liquan Wang, Nikita Dvornik, Rafael Dubeau, Mayank Mittal, Animesh Garg	View PDF
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	Interactive Dynamic Walking: Learning Gait Switching Policies with Generalization Guarantees Prem Chand, Sushant Veer, Ioannis Poulakakis	View PDF
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	Learning-Based Relational Object Matching across Views Cathrin Elich, Iro Armeni, Martin R. Oswald, Marc Pollefeys, Joerg Stueckler	View PDF
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	Efficient Bimanual Handover and Rearrangement Via Symmetry-Aware Actor-Critic Learning Yunfei Li, Chaoyi Pan, Huazhe Xu, Xiaolong Wang, Yi Wu	View PDF
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	FourStr: When Multi-Sensor Fusion Meets Semi-Supervised Learning bangquan xie, Liang Yang, Zongming Yang, Ailin Wei, Xiaoxiong weng, Bing Li	View PDF
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	Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, Jan Peters, Georgia Chalvatzaki	View PDF
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	Guided Learning from Demonstration for Robust Transferability Fouad Sukkar, Victor Hernandez Moreno, Teresa A. Vidal-Calleja, Jochen Deuse	View PDF
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	Learning Agent-Aware Affordances for Closed-Loop Interaction with Articulated Objects Giulio Schiavi, Paula Wulkop, Giuseppe Maria Rizzi, Lionel Ott, Roland Siegwart, Jen Jen Chung	View PDF
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	Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control Murad Elnagdi, Nils Dengler, Jorge de Heuvel, Maren Bennewitz	View PDF
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	Infrastructure-Based End-To-End Learning and Prevention of Driver Failure Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin Hasani, Sertac Karaman, Daniela Rus	View PDF
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	Bimanual Rope Manipulation Skill Synthesis through Context Dependent Correction Policy Learning from Human Demonstration Taha Baturhan Akbulut, GÃ1⁄4lsÃ1⁄4m Tuba Ãibuk Girgin, Arash Mehrabi, Minoru Asada, Emre Ugur, Erhan Oztop	View PDF
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	Learning Performance Graphs from Demonstrations Via Task-Based Evaluations Aniruddh Gopinath Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis	View PDF
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	An Active Learning Based Robot Kinematic Calibration Framework Using Gaussian Processes Ersin Das, Joel Burdick	View PDF
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	Multi-Head Attention Machine Learning for Fault Classification in Mixed Autonomous and Human-Driven Vehicle Platoons Theodore Wu, Satvick Acharya, Abdelrahman Khalil, Ahmed AlJanaideh, Mohammad Al Janaideh, Deepa Kundur	View PDF
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	TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou	View PDF
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	Robotic Table Wiping Via Reinforcement Learning and Whole-Body Trajectory Optimization Thomas Lew, Sumeet Singh, Mario Prats, Jeffrey Bingham, Jonathan Weisz, Benjie Holson, Xiaohan Zhang, Vikas Sindhwani, Yao Lu, Fei Xia, Peng Xu, Tingnan Zhang, Jie Tan, Montserrat Gonzalez Arenas	View PDF
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	Streaming LifeLong Learning with Any-Time Inference Soumya Banerjee, Vinay Kumar Verma, Vinay Namboodiri	View PDF
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	TransDSSL: Transformer Based Depth Estimation Via Self-Supervised Learning DAECHAN HAN, JEONGMIN SHIN, Namil Kim, Soonmin Hwang, Yukyung Choi	View PDF
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	Reinforcement Learning with Probabilistically Safe Control Barrier Functions for Ramp Merging Soumith Udatha, Yiwei Lyu, John M. Dolan	View PDF
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	Event-Triggered Optimal Formation Tracking Control Using Reinforcement Learning for Large-Scale UAV Systems Ziwei Yan, Liang Han, Xiaoduo Li, Jinjie Li, Zhang Ren	View PDF
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	Robust Adaptive Ensemble Adversary Reinforcement Learning Peng Zhai, Taixian Hou, Xiaopeng Ji, Zhiyan Dong, Lihua ZHang	View PDF
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	RGB-D Grasp Detection Via Depth Guided Learning with Cross-Modal Attention Ran Qin, Haoxiang Ma, Boyang Gao, Di Huang	View PDF
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	Online Learning and Suppression of Vibration in Collaborative Robots with Power Tools Gokhan Solak, Arash Ajoudani	View PDF
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	Active Reward Learning from Online Preferences Vivek Myers, Erdem Bıyık, Dorsa Sadigh	View PDF
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	Cross-Modality Time-Variant Relation Learning for Generating Dynamic Scene Graphs Jingyi Wang, JinFa Huang, Can Zhang, Zhidong Deng	View PDF
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	Learning an Efficient Terrain Representation for Haptic Localization of a Legged Robot Damian Sójka, Michal Ryszard Nowicki, Piotr Skrzypczynski	View PDF
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	FloorplanNet: Learning Topometric Floorplan Matching for Robot Localization Delin Feng, Zhenpeng He, Jiawei Hou, Sören Schwertfeger, Liangjun Zhang	View PDF
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	Flipbot: Learning Continuous Paper Flipping Via Coarse-To-Fine Exteroceptive-Proprioceptive Exploration Chao Zhao, Chunli Jiang, Junhao Cai, Hongyu Yu, Michael Yu Wang, Qifeng Chen	View PDF
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	Real-Time Acoustic Holography with Iterative Unsupervised Learning for Acoustic Robotic Manipulation Chengxi Zhong, Zhenhuan Sun, Teng LI, hu su, Song LIU	View PDF
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	A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations Sohan Rudra, Saksham Goel, Anirban Santara, Claudio Gentile, Laurent Perron, Fei Xia, Vikas Sindhwani, Carolina Parada, Gaurav Aggarwal	View PDF
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	Direct and Inverse Modeling of Soft Robots by Learning a Condensed FEM Model Etienne Ménager, Tanguy Navez, Olivier Goury, Christian Duriez	View PDF
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