ICRA 2023

1655 papers · 0 AI summaries · 2023

AI summary only

499 result(s) for “Continual Learning” Page 3 of 10

	Title & Authors	Actions
	RLAfford: End-to-End Affordance Learning for Robotic Manipulation Yiran Geng, boshi an, Haoran Geng, Yuanpei Chen, Yaodong Yang, Hao Dong	View PDF
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	Reinforcement Learning Control of a Reconfigurable Planar Cable Driven Parallel Manipulator Adhiti Raman Thothathri, Ameya Salvi, Matthias Schmid, Venkat Krovi	View PDF
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	Augmented Reality-Assisted Robot Learning Framework for Minimally Invasive Surgery Task Junling Fu, Maria Chiara Palumbo, Elisa Iovene, Qingsheng liu, Ilaria Burzo, Alberto Redaelli, Giancarlo Ferrigno, Elena De Momi	View PDF
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	Learning Deep Neural Network Controller for Path Following of Unicycle Robots Priyabrata Saha, Luis Guerrero-Bonilla, Magnus Egerstedt, Saibal Mukhopadhyay	View PDF
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	Enhanced GPIS Learning Based on Local and Global Focus Areas Zuka Murvanidze, Marc Peter Deisenroth, Yasemin Bekiroglu	View PDF
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	Learning Exploration Strategies to Solve Real-World Marble Runs Alisa Allaire, Christopher Atkeson	View PDF
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	Meta-Learning-Based Optimal Control for Soft Robotic Manipulators to Interact with Unknown Environments Zhiqiang Tang, Peiyi Wang, Wenci Xin, Zhexin Xie, longxin kan, Muralidharan Mohanakrishnan, Cecilia Laschi	View PDF
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	GIDP: Learning a Good Initialization and Inducing Descriptor Post-Enhancing for Large-Scale Place Recognition Zhaoxin Fan, Zhenbo Song, Jun He, Hongyan Liu	View PDF
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	Deep Predictive Model Learning with Parametric Bias: Handling Modeling Difficulties and Temporal Model Changes Kento Kawaharazuka, Kei Okada, Masayuki Inaba	View PDF
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	Off-policy Imitation Learning from Visual Inputs Zhihao Cheng, Li Shen, Dacheng TAO	View PDF
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	Deep Reinforcement Learning for Autonomous Driving Using High-Level Heterogeneous Graph Representations Maximilian Schier, Christoph Reinders, Bodo Rosenhahn	View PDF
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	Sim-To-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery Paul Maria Scheikl, Eleonora Tagliabue, Balazs Gyenes, Martin Wagner, Diego Dall'Alba, Paolo Fiorini, Franziska Mathis-Ullrich	View PDF
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	Learning Robotic Cutting from Demonstration: Non-Holonomic DMPs Using the Udwadia-Kalaba Method Arturas Straizys, Michael Burke, Subramanian Ramamoorthy	View PDF
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	Toward Fine Contact Interactions: Learning to Control Normal Contact Force with Limited Information Jinda Cui, Jiawei Xu, David Saldaña, Jeff Trinkle	View PDF
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	Variable Admittance Interaction Control of UAVs Via Deep Reinforcement Learning Yuting Feng, Chuanbeibei Shi, Jianrui Du, Yushu Yu, Fuchun Sun, Yixu Song	View PDF
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	Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation Kai Lu, Bo Yang, Bing Wang, Andrew Markham	View PDF
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	Exploring Navigation Maps for Learning-Based Motion Prediction Julian Schmidt, Julian Jordan, Franz Gritschneder, Thomas Monninger, Klaus Dietmayer	View PDF
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	Follow the Rules: Online Signal Temporal Logic Tree Search for Guided Imitation Learning in Stochastic Domains Jasmine Jerry Aloor, Jay Patrikar, Parv Kapoor, Jean Oh, Sebastian Scherer	View PDF
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	Learning Modular Robot Visual-Motor Locomotion Policies Julian Whitman, Howie Choset	View PDF
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	Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara	View PDF
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	Learning Personalised Human Sit-To-Stand Motion Strategies Via Inverse Musculoskeletal Optimal Control Daniel F. N. Gordon, Andreas Christou, Theodoros Stouraitis, Michael Gienger, Sethu Vijayakumar	View PDF
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	NOCaL: Calibration-Free Semi-Supervised Learning of Odometry and Camera Intrinsics Ryan Griffiths, Jack Naylor, Donald Dansereau	View PDF
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	Closing the Planning-Learning Loop with Application to Autonomous Driving Panpan Cai, David Hsu	View PDF
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	Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms Resul Dagdanov, Halil Durmuş, Nazim Kemal Ure	View PDF
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	Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos Shiyang Lu, Yunfu Deng, Abdeslam Boularias, Kostas E. Bekris	View PDF
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	Inverse Reinforcement Learning Framework for Transferring Task Sequencing Policies from Humans to Robots in Manufacturing Applications Omey Mohan Manyar, Zachary McNulty, Stefanos Nikolaidis, Satyandra K. Gupta	View PDF
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	Learning Stable Vector Fields on Lie Groups Julen Urain De Jesus, Davide Tateo, Jan Peters	View PDF
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	DriveIRL: Drive in Real Life with Inverse Reinforcement Learning Tung Phan-Minh, Forbes Howington, Ting-Sheng Chu, Momchil Tomov, Robert Beaudoin, Sang Uk Lee, Nanxiang Li, Caglayan Dicle, Samuel Findler, Francisco Suárez-Ruiz, Bo Yang, Sammy Omari, Eric Wolff	View PDF
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	Multi-Alpha Soft Actor-Critic: Overcoming Stochastic Biases in Maximum Entropy Reinforcement Learning Conor Igoe, Swapnil Pande, Siddarth Venkatraman, Jeff Schneider	View PDF
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	Reinforced Learning for Label-Efficient 3D Face Reconstruction Hoda Mohaghegh, Hossein Rahmani, Hamid Laga, Farid Boussaid, Mohammed Bennamoun	View PDF
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	Learning Agile Flight Maneuvers: Deep SE(3) Motion Planning and Control for Quadrotors Yixiao Wang, Bingheng Wang, Shenning Zhang, Han Wei Sia, Lin Zhao	View PDF
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	Collision Avoidance among Dense Heterogeneous Agents Using Deep Reinforcement Learning Kai Zhu, Bin Li, Wen ming Zhe, Tao Zhang	View PDF
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	Learning Arm-Assisted Fall Damage Reduction and Recovery for Legged Mobile Manipulators YUNTAO MA, Farbod Farshidian, Marco Hutter	View PDF
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	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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	Sim-And-Real Reinforcement Learning for Manipulation: A Consensus-Based Approach Wenxing Liu, Hanlin Niu, Wei Pan, Guido Herrmann, Joaquin Carrasco	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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	Deep Reinforcement Learning for Decentralized Multi-Robot Exploration with Macro Actions Aaron Hao Tan, Federico Pizarro Bejarano, Yuhan Zhu, Richard Ren, Goldie Nejat	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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	Train Offline, Test Online: A Real Robot Learning Benchmark Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Beltran Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn, Abhinav Gupta	View PDF
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	RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments Aakriti Agrawal, Amrit Singh Bedi, Dinesh Manocha	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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	Control of Rough Terrain Vehicles Using Deep Reinforcement Learning Viktor Wiberg, Erik Wallin, Tomas Nordfjell, Martin Servin	View PDF
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	SE(3)-DiffusionFields: Learning Smooth Cost Functions for Joint Grasp and Motion Optimization through Diffusion Julen Urain De Jesus, Niklas Wilhelm Funk, Jan Peters, Georgia Chalvatzaki	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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	Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation Luca Marzari, Enrico Marchesini, Alessandro Farinelli	View PDF
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