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IROS 2024

1856 papers · 0 AI summaries · 2024

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1854 result(s) for “Deep Learning in Robotics and Automation” Page 10 of 38
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Hyperbolic Image-And-Pointcloud Contrastive Learning for 3D Classification
Naiwen Hu, Haozhe Cheng, Yifan Xie, Pengcheng Shi, Jihua Zhu
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Incremental Learning of Robotic Manipulation Tasks through Virtual Reality Demonstrations
Giuseppe Rauso, Riccardo Caccavale, Alberto Finzi
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Leveraging Demonstrator-Perceived Precision for Safe Interactive Imitation Learning of Clearance-Limited Tasks
Hanbit Oh, Takamitsu Matsubara
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BaSeNet: A Learning-Based Mobile Manipulator Base Pose Sequence Planning for Pickup Tasks
Lakshadeep Naik, Sinan Kalkan, Sune Lundø Sørensen, Kjærgaard Mikkel, Norbert Krüger
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Continual Learning for Autonomous Robots: A Prototype-Based Approach
Elvin Hajizada, Balachandran Swaminathan, Yulia Sandamirskaya
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Learning Human-To-Humanoid Real-Time Whole-Body Teleoperation
Tairan He, Zhengyi Luo, Wenli Xiao, Chong Zhang, Kris Kitani, Changliu Liu, Guanya Shi
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Guiding Reinforcement Learning with Incomplete System Dynamics
Shuyuan Wang
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JUICER: Data-Efficient Imitation Learning for Robotic Assembly
Lars Ankile, Anthony Simeonov, Idan Shenfeld, Pulkit Agrawal
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Raising Body Ownership in End-To-End Visuomotor Policy Learning Via Robot-Centric Pooling
Zheyu Zhuang, Ville Kyrki, Danica Kragic
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ViSaRL: Visual Reinforcement Learning Guided by Human Saliency
Anthony Liang, Jesse Thomason, Erdem Bıyık
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The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning
Carmelo Sferrazza, Younggyo Seo, Hao Liu, Youngwoon Lee, Pieter Abbeel
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Uncertainty-Aware Deployment of Pre-Trained Language-Conditioned Imitation Learning Policies
Bo Wu, Bruce Lee, Kostas Daniilidis, Bernadette Bucher, Nikolai Matni
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Learning Coordinated Maneuver in Adversarial Environments
Zechen Hu, Manshi Limbu, Daigo Shishika, Xuesu Xiao, Xuan Wang
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Cross-Observability Learning for Vehicle Routing Problems
Ruifan Liu, Hyo-Sang Shin, Antonios Tsourdos
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Mastering Scene Rearrangement with Expert-Assisted Curriculum Learning and Adaptive Trade-Off Tree-Search
Zan Wang, Hanqing Wang, Wei Liang
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MorAL: Learning Morphologically Adaptive Locomotion Controller for Quadrupedal Robots on Challenging Terrains
Zeren Luo, YINZHAO DONG, Xinqi Li, Rui Huang, Zhengjie Shu, Erdong Xiao, Peng Lu
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OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
Botian Xu, Feng Gao, Chao Yu, Ruize Zhang, Yi Wu, Yu Wang
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SCP: Soft Conditional Prompt Learning for Aerial Video Action Recognition
Xijun Wang, Ruiqi Xian, Tianrui Guan, Fuxiao Liu, Dinesh Manocha
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ProSIP: Probabilistic Surface Interaction Primitives for Learning of Robotic Cleaning of Edges
Christoph Unger, Christian Hartl-Nesic, Minh Nhat Vu, Andreas Kugi
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MPGNet: Learning Move-Push-Grasping Synergy for Target-Oriented Grasping in Occluded Scenes
Dayou Li, Chenkun Zhao, Shuo Yang, Ran Song, Xiaolei Li, Wei Zhang
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Robot-Enabled Machine Learning-Based Diagnosis of Gastric Cancer Polyps Using Partial Surface Tactile Imaging
Siddhartha Kapuria, Jeff Bonyun, Yash Kulkarni, Naruhiko Ikoma, Sandeep Chinchali, Farshid Alambeigi
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Speeding up Path Planning Via Reinforcement Learning in MCTS for Automated Parking
Xinlong Zheng, Xiaozhou Zhang, Donghao Xu
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Diff-Control: A Stateful Diffusion-Based Policy for Imitation Learning
Xiao Liu, Yifan Zhou, Fabian Clemens Weigend, Shubham Sonawani, Shuhei Ikemoto, Heni Ben Amor
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DexSkills: Skill Segmentation Using Haptic Data for Learning Autonomous Long-Horizon Robotic Manipulation Tasks
Xiaofeng Mao, Gabriele Giudici, Claudio Coppola, Kaspar Althoefer, Ildar Farkhatdinov, Zhibin (Alex) Li, Lorenzo Jamone
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Learning to Imitate Spatial Organization in Multi-Robot Systems
Ayomide Oluwaseyi Agunloye, Sarvapali Ramchurn, Mohammad D. Soorati
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Riemannian Flow Matching Policy for Robot Motion Learning
Max Braun, Noémie Jaquier, Leonel Rozo, Tamim Asfour
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Self-Supervised Curriculum Generation for Autonomous Reinforcement Learning without Task-Specific Knowledge
Sang-Hyun Lee, Seung-Woo Seo
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LEEPS: Learning End-To-End Legged Perceptive Parkour Skills on Challenging Terrains
Tangyu Qian, Hao Zhang, Zhangli Zhou, Hao Wang, Cai Mingyu, Zhen Kan
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Toward Understanding Key Estimation in Learning Robust Humanoid Locomotion
Zhicheng Wang, Wandi Wei, Ruiqi Yu, Jun Wu, Qiuguo Zhu
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Multi-Fidelity Reinforcement Learning for Minimum Energy Trajectory Planning
Luke de Castro, Gilhyun Ryou, HYUNGSEUK OHN, Sertac Karaman
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Learning Dynamics Models for Velocity Estimation in Autonomous Racing
Jan Węgrzynowski, Grzegorz Czechmanowski, Piotr Kicki, Krzysztof, Tadeusz Walas
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Learning Long-Horizon Predictions for Quadrotor Dynamics
Pratyaksh Rao, Alessandro Saviolo, Tommaso Castiglione Ferrari, Giuseppe Loianno
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Reinforcement Learning with Generalizable Gaussian Splatting
Jiaxu Wang, Qiang Zhang, Jingkai SUN, Jiahang Cao, Gang Han, Wen Zhao, Weining ZHANG, Yecheng Shao, Yijie Guo, Renjing Xu
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Terrain-Attentive Learning for Efficient 6-DoF Kinodynamic Modeling on Vertically Challenging Terrain
Aniket Datar, Chenhui Pan, Mohammad Nazeri, Anuj Pokhrel, Xuesu Xiao
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Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation
Shivam Chaubey, Francesco Verdoja, Ville Kyrki
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BaRiFlex: A Robotic Gripper with Versatility and Collision Robustness for Robot Learning
Gu-Cheol Jeong, Arpit Bahety, Gabriel Pedraza, Ashish Deshpande, Roberto Martín-Martín
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GraspContrast: Self-Supervised Contrastive Learning with False Negative Elimination for 6-DoF Grasp Detection
Wenshuo Wang, Haiyue Zhu, Marcelo H Ang Jr
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Learning-Based Adaptive Control of Quadruped Robots for Active Stabilization on Moving Platforms
Minsung Yoon, Heechan Shin, Jeil Jeong, Sung-eui Yoon
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Arm-Constrained Curriculum Learning for Loco-Manipulation of a Wheel-Legged Robot
Zifan Wang, Yufei Jia, Lu Shi, Haoyu Wang, Haizhou Zhao, Xueyang Li, Jinni ZHOU, Jun Ma, Guyue Zhou
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Dynamic Manipulation of Deformable Objects Using Imitation Learning with Adaptation to Hardware Constraints
Eric Hannus, Tran Nguyen Le, David Blanco-Mulero, Ville Kyrki
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Learning a Shape-Conditioned Agent for Purely Tactile In-Hand Manipulation of Various Objects
Johannes Pitz, Lennart Röstel, Leon Sievers, Darius Burschka, Berthold Bäuml
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DexDribbler: Learning Dexterous Soccer Manipulation Via Dynamic Supervision
Yutong Hu, Kehan Wen, Fisher Yu
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Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation
Hao Zhang, Hao Wang, Xiucai Huang, Wenrui Chen, Zhen Kan
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MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations
Prasad, Vignesh,Kshirsagar, Alap,Koert, Dorothea,Stock-Homburg, Ruth,Peters, Jan,Chalvatzaki, Georgia
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Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards
Zhaorun Chen,Zhuokai Zhao,Tairan He,BinHao Chen,Xuhao Zhao,Liang Gong,Chengliang Liu
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METAVerse: Meta-Learning Traversability Cost Map for Off-Road Navigation
Junwon Seo, Taekyung Kim, Seongyong Ahn, Kiho Kwak
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Domain Adaptation in Visual Reinforcement Learning Via Self-Expert Imitation with Purifying Latent Feature
Lin Chen, Jianan Huang, zhen zhou, Yaonan Wang, Yang Mo, Zhiqiang Miao, Kai Zeng, Mingtao Feng, Danwei Wang
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Learning-On-The-Drive: Self-Supervised Adaptive Long-Range Perception for High-Speed Offroad Driving
Eric Chen, Cherie Ho, Mukhtar Maulimov, Chen Wang, Sebastian Scherer
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Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot
Philip Lorimer, Jack Saunders, Alan Joseph Hunter, Wenbin Li
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Learning Sampling Distribution and Safety Filter for Autonomous Driving with VQ-VAE and Differentiable Optimization
Simon Idoko, basant sharma, Arun Kumar Singh
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