ICRA 2024

2337 papers · 0 AI summaries · 2024

AI summary only

2226 result(s) for “Deep Learning for Visual Perception” Page 16 of 45

	Title & Authors	Actions
	Touch-Based Manipulation with Multi-Fingered Robot using Off-policy RL and Temporal Contrastive Learning Naoki Morihira, Pranav Deo, Manoj Bhadu, Akinobu Hayashi, Tadaaki Hasegawa, Satoshi Otsubo, Takayuki Osa	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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	Learning Realistic and Reasonable Grasps for Anthropomorphic Hand in Cluttered Scenes Haonan Duan, Yiming Li, Daheng Li, Wei Wei, Yayu Huang, Peng Wang	View PDF
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	How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems Oswin So, Zachary Serlin, Makai Mann, Jake Gonzales, Kwesi Rutledge, Nicholas Roy, Chuchu Fan	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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	A Provably Stable Iterative Learning Controller for Continuum Soft Robots Michele Pierallini, Francesco Stella, Franco Angelini, Bastian Deutschmann, Josie Hughes, Antonio Bicchi, Manolo Garabini, Cosimo Della Santina	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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	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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	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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	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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	Reinforcement Learning for Reduced-Order Models of Legged Robots Yu-Ming Chen, Hien Bui, Michael Posa	View PDF
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	Improving Offline Reinforcement Learning with Inaccurate Simulators Yiwen Hou, Haoyuan Sun, Jinming Ma, Feng Wu	View PDF
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	FT-Net: Learning Failure Recovery and Fault-Tolerant Locomotion for Quadruped Robots Zeren Luo, Erdong Xiao, Peng Lu	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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	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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	Learning Self-Confidence from Semantic Action Embeddings for Improved Trust in Human-Robot Interaction Cedric Goubard, Yiannis Demiris	View PDF
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	Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson	View PDF
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	Model-Based Runtime Monitoring with Interactive Imitation Learning Huihan Liu, Shivin Dass, Roberto MartÃn-MartÃn, Yuke Zhu	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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	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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	Learning Complex Motion Plans Using Neural ODEs with Safety and Stability Guarantees Farhad Nawaz Savvas Sadiq Ali, Tianyu Li, Nikolai Matni, Nadia Figueroa	View PDF
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	WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions JiYuan Wang, chunyu lin, Lang Nie, shujuan Huang, Xing Pan, Rui Ai, Yao Zhao	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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	A probabilistic approach for learning and adapting shared control skills with the human in the loop Gabriel Quere, Freek Stulp, David Filliat, João Silvério	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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	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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	One-Shot Imitation Learning with Graph Neural Networks for Pick-And-Place Manipulation Tasks Francesco Di Felice, Salvatore D'Avella, Alberto Remus, Paolo Tripicchio, Carlo Alberto Avizzano	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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	Lifelong Robot Library Learning: Bootstrapping Composable and Generalizable Skills for Embodied Control with Language Models Georgios Tziafas, Hamidreza Kasaei	View PDF
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	Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, CHEN TANG, Wei Zhan	View PDF
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	Barrier Functions Inspired Reward Shaping for Reinforcement Learning Nilaksh Nilaksh, Abhishek Ranjan, Shreenabh Agrawal, Aayush Jain, Pushpak Jagtap, Shishir Kolathaya	View PDF
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	Decision Making for Human-In-The-Loop Robotic Agents Via Uncertainty-Aware Reinforcement Learning Siddharth Singi, Zhanpeng He, Alvin Pan, Sandipkumar Patel, Gunnar Sigurdsson, Robinson Piramuthu, Shuran Song, Matei Ciocarlie	View PDF
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	Meta-Reinforcement Learning Based Cooperative Surface Inspection of 3D Uncertain Structures Using Multi-Robot Systems Junfeng Chen, Yuan Gao, Junjie Hu, Fuqin Deng, Tin Lun Lam	View PDF
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	Unsupervised Learning of Neuro-Symbolic Rules for Generalizable Context-Aware Planning in Object Arrangement Tasks Siddhant Sharma, Shreshth Tuli, Rohan Paul	View PDF
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	Learning Motion Reconstruction from Demonstration Via Multi-Modal Soft Tactile Sensing Cheng Pan, Kieran Gilday, Emily Sologuren, Kai Junge, Josie Hughes	View PDF
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	Learning to Walk in Confined Spaces Using 3D Representation Takahiro Miki, Joonho Lee, Lorenz Wellhausen, Marco Hutter	View PDF
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	Contrastive Learning-Based Attribute Extraction Method for Enhanced Terrain Classification Xiao Liu, Hongjin Chen, Haoyao Chen	View PDF
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	Multi-Objective Cross-Task Learning Via Goal-Conditioned GPT-Based Decision Transformers for Surgical Robot Task Automation Jiawei Fu, Yonghao Long, Kai Chen, Wang Wei, Qi Dou	View PDF
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	Motion Planning As Online Learning: A Multi-Armed Bandit Approach to Kinodynamic Sampling-Based Planning Marco Faroni, Dmitry Berenson	View PDF
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