ICRA 2024

2337 papers · 0 AI summaries · 2024

AI summary only

1416 result(s) for “Learning from Experience” Page 7 of 29

	Title & Authors	Actions
	Machine Learning-Driven Burrowing with a Snake-Like Robot Sean Even, Holden Gordon, Hoeseok Yang, Yasemin OZKAN-AYDIN	View PDF
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	Projection-Based Fast and Safe Policy Optimization for Reinforcement Learning Shijun Lin, Hao Wang, Ziyang Chen, Zhen Kan	View PDF
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	MuRoSim � a Fast and Efficient Multi-Robot Simulation for Learning-based Navigation Christian Jestel, Karol RÃ¶sner, Niklas Dietz, Nicolas Bach, Julian EÃer, Jan Finke, Oliver Urbann	View PDF
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	Sim2Real Manipulation on Unknown Objects with Tactile-Based Reinforcement Learning Entong Su, Chengzhe Jia, Yuzhe Qin, Wenxuan Zhou, Annabella Macaluso, Binghao Huang, Xiaolong Wang	View PDF
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	TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks Matthew Sivaprakasam, Parv Maheshwari, Mateo Guaman Castro, Samuel Triest, Micah Nye, Steven Willits, Andrew Saba, Wenshan Wang, Sebastian Scherer	View PDF
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	Seeing through the Grass: Semantic Pointcloud Filter for Support Surface Learning Anqiao Li, Chenyu Yang, Jonas Frey, Joonho Lee, Cesar Cadena Lerma, Marco Hutter	View PDF
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	Robust Quadrupedal Locomotion Via Risk-Averse Policy Learning Jiyuan Shi, Chenjia Bai, Haoran He, Lei Han, Dong Wang, Bin Zhao, Mingguo Zhao, Xiu Li, Xuelong Li	View PDF
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	Learning Agile Locomotion and Adaptive Behaviors Via RL-Augmented MPC Yiyu Chen, Quan Nguyen	View PDF
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	Realtime Brain-Inspired Adaptive Learning Control for Nonlinear Systems with Configuration Uncertainties Yanhui Zhang, zheyu tong, YiFan Zhang, SONG CHEN, Junyuan Yang, Weifang Chen	View PDF
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	Learning Vision-Based Bipedal Locomotion for Challenging Terrain Helei Duan, Bikram Pandit, Mohitvishnu S. Gadde, Bart Jaap van Marum, Jeremy Dao, Chanho Kim, Alan Fern	View PDF
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	Automatic Loading of Unknown Material with a Wheel Loader Using Reinforcement Learning Daniel Eriksson, Reza Ghabcheloo, Marcus Geimer	View PDF
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	Learning-Based Motion Planning with Mixture Density Networks Yinghan Wang, Jianping He, Xiaoming Duan	View PDF
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	A Deep Learning Framework for Non-Symmetrical Coulomb Friction Identification of Robotic Manipulators Marcel Lahoud, Gabriele Marchello, Mariapaola D'Imperio, Andreas Mueller, Ferdinando Cannella	View PDF
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	AdaptAUG: Adaptive Data Augmentation Framework for Multi-Agent Reinforcement Learning Xin Yu, Yongkai Tian, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi	View PDF
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	Learning-Based Propulsion Control for Amphibious Quadruped Robots with Dynamic Adaptation to Changing Environment Qingfeng Yao, Linghan Meng, Qifeng Zhang, Jing Zhao, Joni Pajarinen, Xiaohui Wang, Zhibin (Alex) Li, Cong Wang	View PDF
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	WayEx: Waypoint Exploration Using a Single Demonstration Mara Levy, Nirat Saini, Abhinav Shrivastava	View PDF
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	Enhanced Human-Robot Collaboration with Intent Prediction Using Deep Inverse Reinforcement Learning Mukund Mitra, Gyanig Kumar, Partha Pratim Chakrabarti, PRADIPTA Biswas	View PDF
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	Learning User Preferences for Complex Cobotic Tasks: Meta-Behaviors and Human Groups Elena Vella, Airlie Chapman, Nir Lipovetzky	View PDF
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	Synthesis of Temporally-Robust Policies for Signal Temporal Logic Tasks Using Reinforcement Learning Siqi Wang, Shaoyuan Li, Li Yin, Xiang Yin	View PDF
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	Synthesize Efficient Safety Certificates for Learning-Based Safe Control Using Magnitude Regularization Haotian Zheng, Haitong Ma, Sifa Zheng, Shengbo Eben Li, Jianqiang Wang	View PDF
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	Soft and Rigid Object Grasping with Cross-Structure Hand Using Bilateral Control-Based Imitation Learning Koki Yamane, Yuki Saigusa, Sho Sakaino, Toshiaki Tsuji	View PDF
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	VO-Safe Reinforcement Learning for Drone Navigation Feiqiang Lin, Changyun Wei, Raphael Grech, Ze Ji	View PDF
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	Learning Terminal State of the Trajectory Planner: Application for Collision Scenarios of Autonomous Vehicles Joonhee Lim, Kibeom Lee, Dongsuk Kum	View PDF
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	SLIM: Skill Learning with Multiple Critics David Emukpere, Bingbing WU, JULIEN PEREZ, Jean-Michel RENDERS	View PDF
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	On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach Alaa Eddine Chriat, Chuangchuang Sun	View PDF
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	Lens Capsule Tearing in Cataract Surgery Using Reinforcement Learning Rebekka Charlotte Peter, Steffen Peikert, Ludwig Haide, Doan Xuan Viet Pham, Tahar Chettaoui, Eleonora Tagliabue, Paul Maria Scheikl, Johannes Fauser, Matthias Hillenbrand, Gerhard Neumann, Franziska Mathis-Ullrich	View PDF
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	Learning to Explore Indoor Environments Using Autonomous Micro Aerial Vehicles Yuezhan Tao, Eran Iceland, Beiming Li, Elchanan Zwecher, Uri Heinemann, Avraham Cohen, Amir Avni, Oren Gal, Ariel Barel, Vijay Kumar	View PDF
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	Iterative Learning Control for Deformable Open-Frame Cable-Driven Parallel Robots Wuichung Cheng, Ngo Foon Chan, Darwin Lau	View PDF
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	A Reinforcement Learning-Based Control Strategy for Robust Interaction of Robotic Systems with Uncertain Environments Diletta Sacerdoti, Federico Benzi, Cristian Secchi	View PDF
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	Chance-Aware Lane Change with High-Level Model Predictive Control through Curriculum Reinforcement Learning Yubin Wang, Yulin Li, Zengqi Peng, Hakim Ghazzai, Jun Ma	View PDF
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	REFORMA: Robust REinFORceMent Learning Via Adaptive Adversary for Drones Flying under Disturbances Hao-Lun Hsu, Haocheng Meng, Shaocheng Luo, Juncheng Dong, Vahid Tarokh, Miroslav Pajic	View PDF
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	Integrating Robot Assignment and Maintenance Management: A Multi-Agent Reinforcement Learning Approach for Holistic Control Kshitij Bhatta, Qing Chang	View PDF
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	Learning Crowd Behaviors in Navigation with Attention-Based Spatial-Temporal Graphs Yanying Zhou, Jochen Garcke	View PDF
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	POLITE: Preferences Combined with Highlights in Reinforcement Learning Simon Holk, Daniel Marta, Iolanda Leite	View PDF
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	OpenBot-Fleet: A System for Collective Learning with Real Robots Matthias Müller, Samarth Manoj Brahmbhatt, Ankur Deka, Quentin Leboutet, David Hafner, Vladlen Koltun	View PDF
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	Multi-Level Progressive Reinforcement Learning for Control Policy in Physical Simulations Kefei Wu, Xuming He, Yang Wang, Xiaopei Liu	View PDF
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	Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration Jakob Thumm, Felix Trost, Matthias Althoff	View PDF
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	A Generalized Acquisition Function for Preference-Based Reward Learning Evan Ellis, Gaurav Ghosal, Stuart Jonathan Russell, Anca Dragan, Erdem Bıyık	View PDF
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	Discwise Active Learning for LiDAR Semantic Segmentation Ozan Unal, Dengxin Dai, Ali Tamer Unal, Luc Van Gool	View PDF
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	Reinforcement Learning for Reduced-Order Models of Legged Robots Yu-Ming Chen, Hien Bui, Michael Posa	View PDF
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	Orientation-Aware Multi-Modal Learning for Road Intersection Identification and Mapping Qibin He, Zhongyang Xiao, Ze Huang, Hongyuan Yuan, Li Sun	View PDF
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	HybGrasp: A Hybrid Learning-To-Adapt Architecture for Efficient Robot Grasping Jungwook Mun, Khang Truong Giang, Yunghee Lee, Nayoung Oh, Sejoon Huh, Min Kim, Sungho Jo	View PDF
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	ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch Zhengrong Xue, Han Zhang, Cheng Jingwen, Zhengmao He, Yuanchen Ju, Changyi Lin, Gu Zhang, Huazhe Xu	View PDF
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	Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training Vedant Dave, Fotios Lygerakis, Elmar Rueckert	View PDF
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	Active Automotive Augmented Reality Displays Using Reinforcement Learning Ju-Hyeok Ryu, Chan Kim, Seong-Woo Kim	View PDF
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	HumanMimic: Learning Natural Locomotion and Transitions for Humanoid Robot Via Wasserstein Adversarial Imitation Annan Tang, Takuma Hiraoka, Naoki Hiraoka, Fan Shi, Kento Kawaharazuka, Kunio Kojima, Kei Okada, Masayuki Inaba	View PDF
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	Multi-Robot Cooperative Navigation in Crowds: A Game-Theoretic Learning-Based Model Predictive Control Approach Viet-Anh Le, Vaishnav Tadiparthi, Behdad Chalaki, Hossein Nourkhiz Mahjoub, Jovin D'sa, Ehsan Moradi-Pari, Andreas Malikopoulos	View PDF
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	Learning Adaptive Policies for Autonomous Excavation under Various Soil Conditions by Adversarial Domain Sampling Takayuki Osa, Naoto Osajima, Masanori Aizawa, Tatsuya Harada	View PDF
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	Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning Xi Lin, Yewei Huang, Fanfei Chen, Brendan Englot	View PDF
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	Automated Testing of Spatially-Dependent Environmental Hypotheses through Active Transfer Learning Nicholas Harrison, Nathan Daniel Wallace, Salah Sukkarieh	View PDF
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