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1006 result(s) for “Robot Learning” Page 1 of 21
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FSG-Net: A Deep Learning Model for Semantic Robot Grasping through Few-Shot Learning
Leonardo Barcellona, Alberto Bacchin, Alberto Gottardi, Emanuele Menegatti, Stefano Ghidoni
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Learning Augmented, Multi-Robot Long-Horizon Navigation in Partially Mapped Environments
Abhish Khanal, Gregory Stein
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LEMURS: Learning Distributed Multi-Robot Interactions
Eduardo Sebastián, Thai Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagues
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Agile and Versatile Robot Locomotion Via Kernel-Based Residual Learning
Milo Carroll, Zhaocheng Liu, Mohammadreza Kasaei, Zhibin Li
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Show Me What You Want: Inverse Reinforcement Learning to Automatically Design Robot Swarms by Demonstration
Ilyes Gharbi, Jonas Kuckling, David Garzón Ramos, Mauro Birattari
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Tumbling Robot Control Using Reinforcement Learning
Andrew Schwartzwald, Matthew Tlachac, Luis Guzman, Athanasios Bacharis, Nikos Papanikolopoulos
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Learning and Blending Robot Hugging Behaviors in Time and Space
Drolet Michael, Joseph Campbell, Heni Ben Amor
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Multi-Modal Learning and Relaxation of Physical Conflict for an Exoskeleton Robot with Proprioceptive Perception
Xuan Zhang, Yana Shu, Yu Chen, Gong Chen, jing ye, Xiang LI
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Model Learning with Backlash Compensation for a Tendon-Driven Surgical Robot
Francesco Cursi, Weibang Bai, Eric Yeatman, Petar Kormushev
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Sim-To-Real: Learning Energy-Efficient Slithering Gaits for a Snake-Like Robot
Zhenshan Bing, Long Cheng, Kai Huang, Alois Knoll
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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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Reinforcement Learning for Safe Robot Control Using Control Lyapunov Barrier Functions
Desong Du, Shaohang Han, Naiming Qi, Haitham Bou Ammar, Jun Wang, Wei Pan
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Enforcing the Consensus between Trajectory Optimization and Policy Learning for Precise Robot Control
Quentin Le Lidec, Wilson Jallet, Ivan Laptev, Cordelia Schmid, Justin Carpentier
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Learning from Demonstrations Via Multi-Level and Multi-Attention Domain-Adaptive Meta-Learning
Ziye Hu, Zhongxue Gan, Wei Li, Weikun Guo, Xiang Gao, Jiwei Zhu
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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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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 Modular Robot Visual-Motor Locomotion Policies
Julian Whitman, Howie Choset
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Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways
Jin Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, Peter Stone
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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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An Active Learning Based Robot Kinematic Calibration Framework Using Gaussian Processes
Ersin Das, Joel Burdick
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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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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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Learning Low-Frequency Motion Control for Robust and Dynamic Robot Locomotion
Siddhant Gangapurwala, luigi campanaro, Ioannis Havoutis
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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
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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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FloorplanNet: Learning Topometric Floorplan Matching for Robot Localization
Delin Feng, Zhenpeng He, Jiawei Hou, Sören Schwertfeger, Liangjun Zhang
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Safeguarding Learning-Based Planners under Motion and Sensing Uncertainties Using Reachability Analysis
Akshay Shetty, Adam Dai, Alexandros Tzikas, Grace Gao
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Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
Tao Huang, Kai Chen, Bin LI, Yunhui Liu, Qi Dou
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Learning an Efficient Terrain Representation for Haptic Localization of a Legged Robot
Damian Sójka, Michal Ryszard Nowicki, Piotr Skrzypczynski
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Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation
Sridhar Pandian Arunachalam, Sneha Silwal, Ben Evans, Lerrel Pinto
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SoLo T-DIRL: Socially-Aware Dynamic Local Planner Based on Trajectory-Ranked Deep Inverse Reinforcement Learning
Yifan Xu, Theodor Chakhachiro, Tribhi Kathuria, Maani Ghaffari
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Toward Zero-Shot Sim-To-Real Transfer Learning for Pneumatic Soft Robot 3D Proprioception Sensing
Uksang Yoo, Hanwen Zhao, Alvaro Altamirano, Wenzhen Yuan, Chen Feng
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Real World Offline Reinforcement Learning with Realistic Data Source
Gaoyue Zhou, Liyiming Ke, Siddhartha Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar
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Seq2Seq Imitation Learning for Tactile Feedback-Based Manipulation
Wenyan Yang, Alexandre Angleraud, Roel S. Pieters, Joni Pajarinen, Joni-Kristian Kamarainen
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It Takes Two: Learning to Plan for Human-Robot Cooperative Carrying
Eley Ng, Ziang Liu, Monroe Kennedy
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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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Hybrid Learning of Time-Series Inverse Dynamics Models for Locally Isotropic Robot Motion
Tolga-Can Çallar, Sven Böttger
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Inverted Landing in a Small Aerial Robot Via Deep Reinforcement Learning for Triggering and Control of Rotational Maneuvers
Bryan Habas, Jack W. Langelaan, Bo Cheng
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Learning Video-Conditioned Policies for Unseen Manipulation Tasks
Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev
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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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Learning Neuro-symbolic Programs for Language Guided Robot Manipulation
Namasivayam Kalithasan, Himanshu Gaurav Singh, Vishal Bindal, Arnav Tuli, Vishwajeet Agrawal, Rahul Jain, Parag Singla, Rohan Paul
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Learning Stable Dynamics Via Iterative Quadratic Programming
Paul Gesel, Momotaz Begum
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Learning Stable Vector Fields on Lie Groups
Julen Urain De Jesus, Davide Tateo, Jan Peters
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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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ARiADNE: A Reinforcement Learning Approach Using Attention-Based Deep Networks for Exploration
Yuhong Cao, Tianxiang Hou, Yizhuo Wang, Xian Yi, Guillaume Adrien Sartoretti
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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
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Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification
Jiayi Pan, Glen Chou, Dmitry Berenson
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Guiding Reinforcement Learning with Shared Control Templates
Abhishek Padalkar, Gabriel Quere, Franz Steinmetz, Antonin Raffin, Matthias Nieuwenhuisen, João Silvério, Freek Stulp
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Learning to View: Decision Transformers for Active Object Detection
Wenhao Ding, Majcherczyk Nathalie, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnab Sen
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Generating Stable and Collision-Free Policies through Lyapunov Function Learning
Coulombe Alexandre, Hsiu-Chin Lin
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