ICRA 2023

1655 papers · 0 AI summaries · 2023

AI summary only

1642 result(s) for “Integratng planning and learning” Page 8 of 33

	Title & Authors	Actions
	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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	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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	BITS: Bi-Level Imitation for Traffic Simulation Danfei Xu, Yuxiao Chen, Boris Ivanovic, Marco Pavone	View PDF
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	Handling Constrained Optimization in Factor Graphs for Autonomous Navigation Barbara Bazzana, Tiziano Guadagnino, Giorgio Grisetti	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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	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 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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	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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	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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	Probabilistic Plane Extraction and Modeling for Active Visual-Inertial Mapping Mitchell Usayiwevu, Fouad Sukkar, Teresa A. Vidal-Calleja	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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	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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	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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	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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	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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	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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	UPLIFT: Unsupervised Person Labeling and Identification Via Cooperative Learning with Mobile Robots Yu-Chee Tseng, Ting-Yuan Ke, Fang-Jing Wu	View PDF
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	CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion Guillaume Bellegarda, Auke Ijspeert	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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	Cross-Domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework Shageenderan Sapai, Junn Yong Loo, Ze Yang Ding, Chee Pin Tan, Raphael Phan, Vishnu Monn Baskaran, Surya G. Nurzaman	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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	A Deep Learning Human Activity Recognition Framework for Socially Assistive Robots to Support Reablement of Older Adults Fraser Robinson, Goldie Nejat	View PDF
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	Learning Setup Policies: Reliable Transition between Locomotion Behaviours Tidd, Brendan,Leitner, Jurgen,Cosgun, Akansel,Hudson, Nicolas	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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	Failure-Aware Policy Learning for Self-Assessable Robotics Tasks Kechun Xu, Runjian Chen, Shuqi Zhao, Zizhang Li, Hongxiang Yu, Ci Chen, Yue Wang, Rong Xiong	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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	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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	Topology-Based MPC for Automatic Footstep Placement and Contact Surface Selection Jaehyun Shim, Carlos Mastalli, Thomas Corbères, Steve Tonneau, Vladimir Ivan, Sethu Vijayakumar	View PDF
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