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ICRA 2024

2337 papers · 0 AI summaries · 2024

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2312 result(s) for “Learning Categories and Concepts” Page 5 of 47
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Joint Response and Background Learning for UAV Visual Tracking
Biao Wang, Wenling Li, Bin Zhang, Yang Liu
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Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills
Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao
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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
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Cascaded Compositional Residual Learning for Complex Interactive Behaviors
Niranjan Kumar Kannabiran, Irfan Essa, Sehoon Ha
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Integrating Robot Assignment and Maintenance Management: A Multi-Agent Reinforcement Learning Approach for Holistic Control
Kshitij Bhatta, Qing Chang
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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
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Prompting Multi-Modal Tokens to Enhance End-To-End AutonomousDriving Imitation Learning with LLMs
YIQUN DUAN, Qiang Zhang, Renjing Xu
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INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields
Julia Hindel, Nikhil Gosala, Kevin Bregler, Abhinav Valada
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Learning Crowd Behaviors in Navigation with Attention-Based Spatial-Temporal Graphs
Yanying Zhou, Jochen Garcke
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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
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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
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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
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Inverse Constraint Learning and Generalization by Transferable Reward Decomposition
Jaehwi Jang, Minjae Song, Daehyung Park
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POLITE: Preferences Combined with Highlights in Reinforcement Learning
Simon Holk, Daniel Marta, Iolanda Leite
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Learning-based Inverse Perception Contracts and Applications
Dawei Sun, benjamin yang, Sayan Mitra
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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
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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
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Multi-Level Progressive Reinforcement Learning for Control Policy in Physical Simulations
Kefei Wu, Xuming He, Yang Wang, Xiaopei Liu
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Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration
Jakob Thumm, Felix Trost, Matthias Althoff
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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
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Learning for Deformable Linear Object Insertion Leveraging Flexibility Estimation from Visual Cues
Mingen Li, Changhyun Choi
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A Generalized Acquisition Function for Preference-Based Reward Learning
Evan Ellis, Gaurav Ghosal, Stuart Jonathan Russell, Anca Dragan, Erdem Bıyık
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Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization
Fan Yang, Wenxuan Zhou, Zuxin Liu, DING ZHAO, David Held
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Discwise Active Learning for LiDAR Semantic Segmentation
Ozan Unal, Dengxin Dai, Ali Tamer Unal, Luc Van Gool
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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
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Masked Gamma-SSL: Learning Uncertainty Estimation Via Masked Image Modeling
David Williams, Matthew Gadd, Paul Newman, Daniele De Martini
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Improving Offline Reinforcement Learning with Inaccurate Simulators
Yiwen Hou, Haoyuan Sun, Jinming Ma, Feng Wu
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Reinforcement Learning for Reduced-Order Models of Legged Robots
Yu-Ming Chen, Hien Bui, Michael Posa
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Stable Motion Primitives Via Imitation and Contrastive Learning
Rodrigo Pérez-Dattari, Jens Kober
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FT-Net: Learning Failure Recovery and Fault-Tolerant Locomotion for Quadruped Robots
Zeren Luo, Erdong Xiao, Peng Lu
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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
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Few-Shot Fruit Segmentation Via Transfer Learning
Jordan James, Heather K. Manching, Amanda M. Hulse-Kemp, William J. Beksi
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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
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Learning Self-Confidence from Semantic Action Embeddings for Improved Trust in Human-Robot Interaction
Cedric Goubard, Yiannis Demiris
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Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching
Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson
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Model-Based Runtime Monitoring with Interactive Imitation Learning
Huihan Liu, Shivin Dass, Roberto Martín-Martín, Yuke Zhu
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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
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Reinforcement Learning with Human Feedback for Realistic Traffic Simulation
Yulong Cao, Boris Ivanovic, Chaowei Xiao, Marco Pavone
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Doduo: Learning Dense Visual Correspondence from Unsupervised Semantic-Aware Flow
Zhenyu Jiang, Hanwen Jiang, Yuke Zhu
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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
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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
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6-DOF Grasp Pose Evaluation and Optimization Via Transfer Learning from NeRFs
Gergely Sóti, Xi Huang, Christian Wurll, Björn Hein
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Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training
Vedant Dave, Fotios Lygerakis, Elmar Rueckert
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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
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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
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Active Automotive Augmented Reality Displays Using Reinforcement Learning
Ju-Hyeok Ryu, Chan Kim, Seong-Woo Kim
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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
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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
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FuncGrasp: Learning Object-Centric Neural Grasp Functions from Single Annotated Example Object
Hanzhi Chen, Binbin Xu, Stefan Leutenegger
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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
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