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ICRA 2023

1655 papers · 0 AI summaries · 2023

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1013 result(s) for “Learning from Experience” Page 1 of 21
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ExAug: Robot-Conditioned Navigation Policies Via Geometric Experience Augmentation
Noriaki Hirose, Dhruv Shah, Ajay Sridhar, Sergey Levine
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A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-Based In-Hand Manipulation
Lingfeng Tao, Jiucai Zhang, Michael Bowman, Xiaoli Zhang
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Learning Visual Locomotion with Cross-Modal Supervision
Antonio Loquercio, Ashish Kumar, Jitendra Malik
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Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control
Murad Elnagdi, Nils Dengler, Jorge de Heuvel, Maren Bennewitz
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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
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Ex(plainable) Machina: How Social-Implicit XAI Affects Complex Human-Robot Teaming Tasks
Marco Matarese, Francesca Cocchella, Francesco Rea, Alessandra Sciutti
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A Framework for Active Haptic Guidance Using Robotic Haptic Proxies
Niall L. Williams, Nicholas Rewkowski, Jiasheng Li, Ming C. Lin
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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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Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning
Abraham George, Alison Bartsch, Amir Barati Farimani
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Autonomous Drone Racing: Time-Optimal Spatial Iterative Learning Control within a Virtual Tube
Shuli Lv, Yan Gao, jiaxing Che, Quan Quan
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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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Predicting Motion Plans for Articulating Everyday Objects
Arjun Gupta, Max Shepherd, Saurabh Gupta
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CoGrasp: 6-DoF Grasp Generation for Human-Robot Collaboration
Abhinav Keshari, Hanwen Ren, Ahmed H. Qureshi
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Few-Shot Instance Grasping of Novel Objects in Clutter
Weikun Guo, Wei Li, Ziye Hu, Zhongxue Gan
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A Virtual Reality Framework for Fast Dataset Creation Applied to Cloth Manipulation with Automatic Semantic Labelling
JÃolia Borrà s Sol, Arnau Boix-Granell, Sergi Foix, Carme Torras
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Extracting Generalizable Skills from a Single Plan Execution Using Abstraction-Critical State Detection
Khen Elimelech, Lydia Kavraki, Vardi Moshe
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A Plug-In Weight-Shifting Module That Adds Emotional Expressiveness to Inanimate Objects in Handheld Interaction
Yohei Noguchi, Yijie Guo, Fumihide Tanaka
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Interacting with Multi-Robot Systems Via Mixed Reality
Florian Kennel-Maushart, Roi Poranne, Stelian Coros
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Parameter-Conditioned Reachable Sets for Updating Safety Assurances Online
Javier Borquez, Somil Bansal, Kensuke Nakamura
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WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation
Namyup Kim, Taeyoung Son, Jaehyun Pahk, Cuiling Lan, Wenjun Zeng, SUHA KWAK
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A Generic Power Wheelchair Lumped Model in the Sagittal Plane: Towards Realistic Self-Motion Perception in a Virtual Reality Simulator
Fabien Grzeskowiak, Ronan Le Breton, Louise Devigne, François Pasteau, Marie Babel, Sylvain Guegan
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A Study into Understanding User Requirements to Inform the Design of Customisable Robotic Pain Management Devices
Angela Higgins, Alison Llewellyn, Emma Dures, Praminda Caleb-Solly
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Parameter Optimization for Manipulator Motion Planning Using a Novel Benchmark Set
Carl Gaebert, Sascha Kaden, Benjamin Fischer, Ulrike Thomas
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Robotic Sonographer: Autonomous Robotic Ultrasound Using Domain Expertise in Bayesian Optimization
Deepak Raina, SH Chandrashekhara, Richard Voyles, Juan Wachs, Subir Kumar Saha
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On-Demand Multi-Agent Basket Picking for Shopping Stores
Mattias Tiger, David Bergström, Simon Wijk Stranius, Evelina Holmgren, Daniel de Leng, Fredrik Heintz
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Active Probing and Influencing Human Behaviors Via Autonomous Agents
Shuangge Wang, Yiwei Lyu, John M. Dolan
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Simulation Data Driven Design Optimization for Reconfigurable Soft Gripper System
Jun Liu, Jin Huat Low, Qian Qian Han, Marisa Lim, Dingjie Lu, Yangfan Li, Chen-Hua Yeow, ZhuangJian Liu
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FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2
Jeffrey Ichnowski, Kaiyuan Chen, Karthik Dharmarajan, Simeon Oluwafunmilore Adebola, Michael Danielczuk, Victor Mayoral-Vilches, Nikhil Jha, Hugo Zhan, Edith LLontop, Derek Xu, Camilo Buscaron, John Kubiatowicz, Ion Stoica, Joseph E. Gonzalez, Ken Goldberg
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Learning Stabilization Control from Observations by Learning Lyapunov-Like Proxy Models
Milan Ganai, Chiaki Hirayama, Ya-Chien Chang, Sicun Gao
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Using Learning Curve Predictions to Learn from Incorrect Feedback
Taylor Kessler Faulkner, Andrea Lockerd Thomaz
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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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GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback
Jie Huang, Jiangshan Hao, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Guangliang Li
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Start State Selection for Control Policy Learning from Optimal Trajectories
Christoph Zelch, Jan Peters, Oskar von Stryk
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Efficient Learning of High Level Plans from Play
NÃoria Armengol Urpí, Marco Bagatella, Otmar Hilliges, Georg Martius, Stelian Coros
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Off-policy Imitation Learning from Visual Inputs
Zhihao Cheng, Li Shen, Dacheng TAO
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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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Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos
Shiyang Lu, Yunfu Deng, Abdeslam Boularias, Kostas E. Bekris
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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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Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation
Kai Lu, Bo Yang, Bing Wang, Andrew Markham
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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 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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Learning Stable Dynamics Via Iterative Quadratic Programming
Paul Gesel, Momotaz Begum
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DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning
I Made Aswin Nahrendra, Byeongho Yu, Hyun Myung
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Learning Category-Level Manipulation Tasks from Point Clouds with Dynamic Graph CNNs
Junchi Liang, Abdeslam Boularias
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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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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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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
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Learning Performance Graphs from Demonstrations Via Task-Based Evaluations
Aniruddh Gopinath Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis
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Guided Learning from Demonstration for Robust Transferability
Fouad Sukkar, Victor Hernandez Moreno, Teresa A. Vidal-Calleja, Jochen Deuse
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Automating Reinforcement Learning with Example-Based Resets
Jigang Kim, J. hyeon Park, Daesol Cho, H. Jin Kim
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