ICRA 2024

2337 papers · 0 AI summaries · 2024

AI summary only

2252 result(s) for “Model Learning for Control” Page 14 of 46

	Title & Authors	Actions
	Incremental Learning of Full-Pose Via-Point Movement Primitives on Riemannian Manifolds Tilman Daab, Noémie Jaquier, Christian R. G. Dreher, Andre Meixner, Franziska Krebs, Tamim Asfour	View PDF
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	InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions Kushal Kedia, Atiksh Bhardwaj, Prithwish Dan, Sanjiban Choudhury	View PDF
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	Safety-Critical Scenario Generation Via Reinforcement Learning Based Editing Haolan Liu, Liangjun Zhang, Siva Kumar Sastry Hari, Jishen Zhao	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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	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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	Improving Out-Of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds Yating Lin, Glen Chou, Dmitry Berenson	View PDF
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	Robotic Grasping of Harvested Tomato Trusses Using Vision and Online Learning Luuk van den Bent, Tomás Coleman, Robert Babuska	View PDF
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	EffLoc: Lightweight Vision Transformer for Efficient 6-DOF Camera Relocalization Zhendong Xiao, Changhao Chen, Yang Shan, Wu Wei	View PDF
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	Bevel-Tip Needle Deflection Modeling, Simulation, and Validation in Multi-Layer Tissues Yanzhou Wang, Lidia Al-Zogbi, Guanyun Liu, Jiawei Liu, Junichi Tokuda, Axel Krieger, Ioan Iulian Iordachita	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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	Joint-Loss Enhanced Self-Supervised Learning for Refinement-Coupled Object 6D Pose Estimation Fengjun Mu, Shixiang Sun, Rui Huang, Chaobin Zou, Wenjiang Li, Huayi Zhan, Hong Cheng	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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	Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images David Benjamin Adrian, Andras Kupcsik, Markus Spies, Heiko Neumann	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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	A Multifidelity Sim-To-Real Pipeline for Verifiable and Compositional Reinforcement Learning Cyrus Neary, Christian Ellis, Aryaman Singh Samyal, Craig Lennon, Ufuk Topcu	View PDF
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	A Scalable, Light-Controlled, Individually Addressable, Non-Metal Actuator Array Sophie Paul, Matthew Devlin, Elliot Wright Hawkes	View PDF
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	Sim-To-Real Robotic Sketching Using Behavior Cloning and Reinforcement Learning Biao Jia, Dinesh Manocha	View PDF
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	INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields Julia Hindel, Nikhil Gosala, Kevin Bregler, Abhinav Valada	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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	Learning Nonprehensile Dynamic Manipulation: Sim2real Vision-Based Policy with a Surgical Robot Radian Gondokaryono, Mustafa Haiderbhai, Sai Aneesh Suryadevara, Lueder Alexander Kahrs	View PDF
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	Safe Risk-Averse Bayesian Optimization for Controller Tuning Christopher König, Miks Ozols, Anastasiia Makarova, Efe Balta, Andreas Krause, Alisa Rupenyan	View PDF
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	Equilibria, Stability, and Sensitivity for the Aerial Suspended Beam Robotic System Subject to Parameter Uncertainty Chiara Gabellieri, Marco Tognon, Dario Sanalitro, Antonio Franchi	View PDF
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	A Hyper-Network Based End-To-End Visual Servoing with Arbitrary Desired Poses Hongxiang Yu, Anzhe Chen, Kechun Xu, Zhongxiang Zhou, Wei Jing, Yue Wang, Rong Xiong	View PDF
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	Inverse Constraint Learning and Generalization by Transferable Reward Decomposition Jaehwi Jang, Minjae Song, Daehyung Park	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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	ReefGlider: A Highly Maneuverable Vectored Buoyancy Engine Based Underwater Robot Kevin Macauley, Levi Cai, Peter G. Adamczyk, Yogesh Girdhar	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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	Hierarchical Human-To-Robot Imitation Learning for Long-Horizon Tasks Via Cross-Domain Skill Alignment Zhenyang Lin, Yurou Chen, Zhiyong Liu	View PDF
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	Learning for Deformable Linear Object Insertion Leveraging Flexibility Estimation from Visual Cues Mingen Li, Changhyun Choi	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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	Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization Fan Yang, Wenxuan Zhou, Zuxin Liu, DING ZHAO, David Held	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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	Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning Jingyun Yang, Max Sobol Mark, Brandon Vu, Archit Sharma, Jeannette Bohg, Chelsea Finn	View PDF
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	HASHI: Highly Adaptable Seafood Handling Instrument for Manipulation in Industrial Settings Austin Allison, Nathaniel Hanson, Sebastian Wicke, Taskin Padir	View PDF
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	Masked Gamma-SSL: Learning Uncertainty Estimation Via Masked Image Modeling David Williams, Matthew Gadd, Paul Newman, Daniele De Martini	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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	Few-Shot Fruit Segmentation Via Transfer Learning Jordan James, Heather K. Manching, Amanda M. Hulse-Kemp, William J. Beksi	View PDF
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	Automated Dissection of Intact Single Cell from Tissue Using Robotic Micromanipulation System Youchao Zhang, Xiangyu Guo, Qingyu Wang, Fanghao Wang, Chuanjie Liu, Mingchuan Zhou, Yibin Ying	View PDF
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	Synthesizing Robust Walking Gaits Via Discrete-Time Barrier Functions with Application to Multi-Contact Exoskeleton Locomotion Maegan Tucker, Kejun Li, Aaron Ames	View PDF
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	Learning Self-Confidence from Semantic Action Embeddings for Improved Trust in Human-Robot Interaction Cedric Goubard, Yiannis Demiris	View PDF
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	Reinforcement Learning with Human Feedback for Realistic Traffic Simulation Yulong Cao, Boris Ivanovic, Chaowei Xiao, Marco Pavone	View PDF
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	Doduo: Learning Dense Visual Correspondence from Unsupervised Semantic-Aware Flow Zhenyu Jiang, Hanwen Jiang, Yuke Zhu	View PDF
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	Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy Chenyang Cao, Zichen Yan, Renhao Lu, Junbo Tan, xueqian WANG	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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	FuncGrasp: Learning Object-Centric Neural Grasp Functions from Single Annotated Example Object Hanzhi Chen, Binbin Xu, Stefan Leutenegger	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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	Reinforcement Learning of Action and Query Policies with LTL Instructions under Uncertain Event Detector Wataru Hatanaka, Ryota Yamashina, Takamitsu Matsubara	View PDF
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