ICRA 2023

1655 papers · 0 AI summaries · 2023

AI summary only

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