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1655 papers in this venue.

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499 result(s) for “Continual Learning” Page 3 of 10
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RLAfford: End-to-End Affordance Learning for Robotic Manipulation
Yiran Geng, boshi an, Haoran Geng, Yuanpei Chen, Yaodong Yang, Hao Dong
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Reinforcement Learning Control of a Reconfigurable Planar Cable Driven Parallel Manipulator
Adhiti Raman Thothathri, Ameya Salvi, Matthias Schmid, Venkat Krovi
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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
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Learning Deep Neural Network Controller for Path Following of Unicycle Robots
Priyabrata Saha, Luis Guerrero-Bonilla, Magnus Egerstedt, Saibal Mukhopadhyay
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Enhanced GPIS Learning Based on Local and Global Focus Areas
Zuka Murvanidze, Marc Peter Deisenroth, Yasemin Bekiroglu
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Learning Exploration Strategies to Solve Real-World Marble Runs
Alisa Allaire, Christopher Atkeson
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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
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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
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Deep Predictive Model Learning with Parametric Bias: Handling Modeling Difficulties and Temporal Model Changes
Kento Kawaharazuka, Kei Okada, Masayuki Inaba
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Off-policy Imitation Learning from Visual Inputs
Zhihao Cheng, Li Shen, Dacheng TAO
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Deep Reinforcement Learning for Autonomous Driving Using High-Level Heterogeneous Graph Representations
Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
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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
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Learning Robotic Cutting from Demonstration: Non-Holonomic DMPs Using the Udwadia-Kalaba Method
Arturas Straizys, Michael Burke, Subramanian Ramamoorthy
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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
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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
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Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation
Kai Lu, Bo Yang, Bing Wang, Andrew Markham
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Exploring Navigation Maps for Learning-Based Motion Prediction
Julian Schmidt, Julian Jordan, Franz Gritschneder, Thomas Monninger, Klaus Dietmayer
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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
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Learning Modular Robot Visual-Motor Locomotion Policies
Julian Whitman, Howie Choset
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Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA
Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara
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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
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NOCaL: Calibration-Free Semi-Supervised Learning of Odometry and Camera Intrinsics
Ryan Griffiths, Jack Naylor, Donald Dansereau
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Closing the Planning-Learning Loop with Application to Autonomous Driving
Panpan Cai, David Hsu
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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
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Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos
Shiyang Lu, Yunfu Deng, Abdeslam Boularias, Kostas E. Bekris
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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
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Learning Stable Vector Fields on Lie Groups
Julen Urain De Jesus, Davide Tateo, Jan Peters
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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
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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
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Reinforced Learning for Label-Efficient 3D Face Reconstruction
Hoda Mohaghegh, Hossein Rahmani, Hamid Laga, Farid Boussaid, Mohammed Bennamoun
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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
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Collision Avoidance among Dense Heterogeneous Agents Using Deep Reinforcement Learning
Kai Zhu, Bin Li, Wen ming Zhe, Tao Zhang
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Learning Arm-Assisted Fall Damage Reduction and Recovery for Legged Mobile Manipulators
YUNTAO MA, Farbod Farshidian, Marco Hutter
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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
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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
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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
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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
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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
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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
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Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models
Yi Liu, Gaurav Datta, Ellen Novoseller, Daniel Brown
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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
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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
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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
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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
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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
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Control of Rough Terrain Vehicles Using Deep Reinforcement Learning
Viktor Wiberg, Erik Wallin, Tomas Nordfjell, Martin Servin
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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
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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
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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
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Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation
Luca Marzari, Enrico Marchesini, Alessandro Farinelli
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