Research Analyzer
← ICRA 2023

All Papers

1655 papers in this venue.

Clear
1006 result(s) for “Robot Learning” Page 2 of 21
Title & Authors Actions
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
 PDF
Learning Performance Graphs from Demonstrations Via Task-Based Evaluations
Aniruddh Gopinath Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis
 PDF
Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning
Eric Vollenweider, Marko Bjelonic, Victor Klemm, Nikita Rudin, joonho lee, Marco Hutter
 PDF
DeepRING: Learning Roto-Translation Invariant Representation for LiDAR Based Place Recognition
Sha Lu, Xuecheng Xu, Li Tang, Rong Xiong, Yue Wang
 PDF
Closing the Planning-Learning Loop with Application to Autonomous Driving
Panpan Cai, David Hsu
 PDF
DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation with Differentiable Simulation
Sirui Chen, Yunhao Liu, Shang Wen Yao, Jialong LI, Tingxiang Fan, Jia Pan
 PDF
AutoBag: Learning to Open Plastic Bags and Insert Objects
Lawrence Yunliang Chen, Baiyu Shi, Daniel Seita, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg
 PDF
Multifingered Grasping Based on Multimodal Reinforcement Learning
Hongzhuo Liang, Lin Cong, Norman Hendrich, Shuang Li, Fuchun Sun, Jianwei Zhang
 PDF
D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage
Vishnu Sharma, Lifeng Zhou, Pratap Tokekar
 PDF
Learning Reward Functions for Robotic Manipulation by Observing Humans
Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid
 PDF
How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability
Mateo Guaman Castro, Samuel Triest, Wenshan Wang, Jason M. Gregory, Felix Sanchez, John G. Rogers III, Sebastian Scherer
 PDF
Structured Motion Generation with Predictive Learning: Proposing Subgoal for Long-Horizon Manipulation
Namiko Saito, Joao Moura, Tetsuya Ogata, Marina Y. Aoyama, Shingo Murata, Shigeki Sugano, Sethu Vijayakumar
 PDF
A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-Based In-Hand Manipulation
Lingfeng Tao, Jiucai Zhang, Michael Bowman, Xiaoli Zhang
 PDF
Collision Avoidance among Dense Heterogeneous Agents Using Deep Reinforcement Learning
Kai Zhu, Bin Li, Wen ming Zhe, Tao Zhang
 PDF
Sim-And-Real Reinforcement Learning for Manipulation: A Consensus-Based Approach
Wenxing Liu, Hanlin Niu, Wei Pan, Guido Herrmann, Joaquin Carrasco
 PDF
Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning
David Brandfonbrener, Stephen Tu, Avi Singh, Stefan Welker, Chad Boodoo, Nikolai Matni, Jacob Varley
 PDF
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
 PDF
Active Reward Learning from Online Preferences
Vivek Myers, Erdem Bıyık, Dorsa Sadigh
 PDF
Efficient Recovery Learning using Model Predictive Meta-Reasoning
Shivam Vats, Maxim Likhachev, Oliver Kroemer
 PDF
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
 PDF
Deep Metric Learning for Visual Servoing: When Pose and Image Meet in Latent Space
Samuel Felton, Elisa Fromont, Eric Marchand
 PDF
Distributionally Robust Optimization with Unscented Transform for Learning-Based Motion Control in Dynamic Environments
Astghik Hakobyan, Insoon Yang
 PDF
Aligning Human Preferences with Baseline Objectives in Reinforcement Learning
Daniel Marta, Simon Holk, Christian Pek, Jana Tumova, Iolanda Leite
 PDF
Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks
Xinyang Wu, Mohamed El-Shamouty, Christof Nitsche, Marco F. Huber
 PDF
Monocular Reactive Collision Avoidance for MAV Teleoperation with Deep Reinforcement Learning
Raffaele Brilli, Marco Legittimo, Francesco Crocetti, Mirko Leomanni, Mario Luca Fravolini, Gabriele Costante
 PDF
Online Learning and Suppression of Vibration in Collaborative Robots with Power Tools
Gokhan Solak, Arash Ajoudani
 PDF
Learning Stabilization Control from Observations by Learning Lyapunov-Like Proxy Models
Milan Ganai, Chiaki Hirayama, Ya-Chien Chang, Sicun Gao
 PDF
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
Jishnu Jaykumar P, Yu-Wei Chao, Yu Xiang
 PDF
Just Round: Quantized Observation Spaces Enable Memory Efficient Learning of Dynamic Locomotion
Lev Grossman, Brian Plancher
 PDF
Dynamical System-Based Imitation Learning for Visual Servoing Using the Large Projection Formulation
Antonio Paolillo, Paolo Robuffo Giordano, Matteo Saveriano
 PDF
Learning Continuous Control Policies for Information-Theoretic Active Perception
Pengzhi Yang, YUHAN LIU, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
 PDF
Flipbot: Learning Continuous Paper Flipping Via Coarse-To-Fine Exteroceptive-Proprioceptive Exploration
Chao Zhao, Chunli Jiang, Junhao Cai, Hongyu Yu, Michael Yu Wang, Qifeng Chen
 PDF
Learning Pre-Grasp Manipulation of Flat Objects in Cluttered Environments Using Sliding Primitives
Jiaxi Wu, haoran Wu, Shanlin Zhong, Qu Qin Sun, Yinlin Li
 PDF
Security-Aware Reinforcement Learning under Linear Temporal Logic Specifications
Bohan Cui, Keyi Zhu, Shaoyuan Li, Xiang Yin
 PDF
Biomimetic Force and Impedance Adaptation Based on Broad Learning System in Stable and Unstable Tasks
Zhenyu Lu, Ning Wang
 PDF
Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments
Mingyo Seo, Ryan Gupta, Yifeng Zhu, Alexy Skoutnev, Luis Sentis, Yuke Zhu
 PDF
Learning Deep Neural Network Controller for Path Following of Unicycle Robots
Priyabrata Saha, Luis Guerrero-Bonilla, Magnus Egerstedt, Saibal Mukhopadhyay
 PDF
Benchmarking Potential Based Rewards for Learning Humanoid Locomotion
Se Hwan Jeon, Steve Heim, Charles Khazoom, Sangbae Kim
 PDF
Learning-Based Fabric Folding and Box Wrapping
Xiaoman Wang, Jie Zhao, Xin Jiang, Yunhui Liu
 PDF
Deep Predictive Model Learning with Parametric Bias: Handling Modeling Difficulties and Temporal Model Changes
Kento Kawaharazuka, Kei Okada, Masayuki Inaba
 PDF
Benchmarking Reinforcement Learning Techniques for Autonomous Navigation
Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, Peter Stone
 PDF
Learning Visual-Audio Representations for Voice-Controlled Robots
Peixin Chang, Shuijing Liu, D. Livingston McPherson, Katherine Driggs-Campbell
 PDF
Learning Depth Completion of Transparent Objects Using Augmented Unpaired Data
Floris Marc Arden Erich, Bruno Leme, Noriaki Ando, Ryo Hanai, Yukiyasu Domae
 PDF
Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors
Shikha Surana, Bryan Wei Tern Lim, Antoine Cully
 PDF
Comparison of Model-Based and Model-Free Reinforcement Learning for Real-World Dexterous Robotic Manipulation Tasks
David Patricio Valencia Redrovan, John Jia, Raymond Li, Alex Hayashi, Megan Lecchi, Reuel Terezakis, Trevor Gee, Minas Liarokapis, Bruce MacDonald, Henry Williams
 PDF
Enhanced GPIS Learning Based on Local and Global Focus Areas
Zuka Murvanidze, Marc Peter Deisenroth, Yasemin Bekiroglu
 PDF
Automating Reinforcement Learning with Example-Based Resets
Jigang Kim, J. hyeon Park, Daesol Cho, H. Jin Kim
 PDF
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning
Cheng Liu, Erik-Jan van Kampen, Guido de Croon
 PDF
Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing Local and Remote Computers
Yan Wang, Gautham Vasan, Rupam Mahmood
 PDF
Learning Efficient Policies for Picking Entangled Wire Harnesses: An Approach to Industrial Bin Picking
Zhang, Xinyi,Domae, Yukiyasu,Wan, Weiwei,Harada, Kensuke
 PDF