IROS 2024

1856 papers · 0 AI summaries · 2024

AI summary only

1855 result(s) for “and Learning for Soft Robots” Page 10 of 38

	Title & Authors	Actions
	Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations Puhao Li, Tengyu Liu, Yuyang Li, Muzhi Han, Haoran Geng, Shu Wang, Yixin Zhu, Song-Chun Zhu, Siyuan Huang	View PDF
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	A Monte Carlo Approach to Koopman Direct Encoding and Its Application to the Learning of Neural-Network Observables Nozawa, Itta,Kamienski, Emily,O'Neill, Cormac,Asada, Harry	View PDF
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	Local Path Planning among Pushable Objects Based on Reinforcement Learning Linghong Yao, Valerio Modugno, Andromachi Maria Delfaki, Yuanchang Liu, Danail Stoyanov, Dimitrios Kanoulas	View PDF
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	Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections Zengqi Peng, Xiao Zhou, Lei Zheng, Yubin Wang, Jun Ma	View PDF
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	Learning Symbolic and Subsymbolic Temporal Task Constraints from Bimanual Human Demonstrations Christian R. G. Dreher, Tamim Asfour	View PDF
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	IMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning Yifan Guo, Zhongqiang Ren, Chen Wang	View PDF
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	Pseudo-Rigid Body Networks: Learning Interpretable Deformable Object Dynamics from Partial Observations Shamil Mamedov, Andreas René Geist, Jan Swevers, Sebastian Trimpe	View PDF
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	Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Network Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Renjing Xu	View PDF
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	Learning Adaptive Controller for Hydraulic Machinery Automation Fang Nan, Marco Hutter	View PDF
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	RelationGrasp: Object-Oriented Prompt Learning for Simultaneously Grasp Detection and Manipulation Relationship in Open Vocabulary Songting Liu, Tat Joo Teo, Zhiping Lin, Haiyue Zhu	View PDF
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	Learning Multi-Reference Frame Skills from Demonstration with Task-Parameterized Gaussian Processes Mariano Ramirez Montero, Giovanni Franzese, Jens Kober, Cosimo Della Santina	View PDF
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	Fine Manipulation Using a Tactile Skin: Learning in Simulation and Sim-To-Real Transfer Berthold Bäuml, Ulf Kasolowsky	View PDF
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	Robust Imitation Learning for Mobile Manipulator Focusing on Task-Related Viewpoints and Regions Yutaro Ishida, Yuki Noguchi, Takayuki Kanai, Kazuhiro Shintani, Hiroshi Bito	View PDF
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	On Learning Scene-Aware Generative State Abstractions for Task-Level Mobile Manipulation Planning Julian Förster, Jen Jen Chung, Lionel Ott, Roland Siegwart	View PDF
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	GDM-Net: Gas Distribution Mapping with a Mobile Robot Using Deep Reinforcement Learning and Gaussian Process Regression Iliya Kulbaka, Ayan Dutta, Patrick Kreidl, Ladislau Bölöni, Swapnoneel Roy	View PDF
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	Car-Studio: Learning Car Radiance Fields from Single-View and Unlimited In-The-Wild Images Tianyu Liu, Hao Zhao, Yang Yu, Guyue Zhou, Ming Liu	View PDF
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	Real-Time Dexterous Telemanipulation with an End-Effect-Oriented Learning-Based Approach Haoyang Wang, HE BAI, Xiaoli Zhang, Yunsik Jung, Michael Bowman, Lingfeng Tao	View PDF
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	Synergistic Reinforcement and Imitation Learning for Vision-Driven Autonomous Flight of UAV Along River Zihan Wang, Jianwen Li, Nina Mahmoudian	View PDF
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	Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning Ce Hao, Catherine Weaver, CHEN TANG, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan	View PDF
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	Robot Generating Data for Learning Generalizable Visual Robotic Manipulation Yunfei Li, Ying Yuan, Jingzhi Cui, Haoran Huan, Wei Fu, Jiaxuan Gao, Zekai Xu, Yi Wu	View PDF
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	TraKDis: A Transformer-Based Knowledge Distillation Approach for Visual Reinforcement Learning with Application to Cloth Manipulation Wei Chen, Nicolas Rojas	View PDF
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	Force-Triggered Control Design for User Intent-Driven Assistive Upper-Limb Robots Maxime Manzano, Sylvain Guegan, Ronan Le Breton, Louise Devigne, Marie Babel	View PDF
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	Interactive Learning of Physical Object Properties through Robot Manipulation and Database of Object Measurements Andrej Kru�liak, Jiri Hartvich, Shubhan Patni, Lukas Rustler, Jan Kristof Behrens, Fares Abu-Dakka, Krystian Mikolajczyk, Ville Kyrki, Matej Hoffmann	View PDF
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	Multi-Modal Representation Learning with Tactile Data Hyung-gun Chi, Jean Mercat, Jose Barreiros, Karthik Ramani, Thomas Kollar	View PDF
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	The Power of Input: Benchmarking Zero-Shot Sim-To-Real Transfer of Reinforcement Learning Control Policies for Quadrotor Control Alberto Dionigi, Gabriele Costante, Giuseppe Loianno	View PDF
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	Adaptive Robot Traversability Estimation Based on Self-Supervised Online Continual Learning in Unstructured Environments Hyung-Suk Yoon, Ji-Hoon Hwang, Chan Kim, E-In Son, Se-Wook Yoo, Seung-Woo Seo	View PDF
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	Towards Accurate and Robust Dynamics and Reward Modeling for Model-Based Offline Inverse Reinforcement Learning Gengyu Zhang, Yan Yan	View PDF
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	RaceMOP: Mapless Online Path Planning for Multi-Agent Autonomous Racing Using Residual Policy Learning Raphael Trumpp, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada, Marco Caccamo	View PDF
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	Integrating Model-Based Footstep Planning with Model-Free Reinforcement Learning for Dynamic Legged Locomotion Ho Jae Lee, Seungwoo Hong, Sangbae Kim	View PDF
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	Learning Hierarchical Graph-Based Policy for Goal-Reaching in Unknown Environments Yuxiang Cui, Shuhao Ye, Xuecheng Xu, Hao Sha, Cheng Wang, Longzhong Lin, Yifei Yang, Jiyu Yu, Zhe Liu, Rong Xiong, Yue Wang	View PDF
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	Learning Autonomous Driving from Aerial Imagery Varun Murali, Guy Rosman, Sertac Karaman, Daniela Rus	View PDF
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	Enhancing VIO Robustness under Sudden Lighting Variation: A Learning-Based IMU Dead-Reckoning for UAV Localization Daolong Yang, Liu Haoyuan, XueYing Jin, Jiawei Chen, Chengcai Wang, Xilun DING, Kun Xu	View PDF
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	Evaluating a Movable Palm in Caging Inspired Grasping Using a Reinforcement Learning-Based Approach Luke Jonathan Beddow, Helge Arne Wurdemann, Dimitrios Kanoulas	View PDF
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	Torque Ripple Reduction in Quasi-Direct Drive Motors through Angle-Based Repetitive Learning Observer and Model Predictive Torque Controller Hefei Zhang, Xiaohu Zhang, Jinyu Cheng, Jiangtao Hu, Chao Ji, Yu Wang, Yutong Jiang, Zhen Han, Wei Gao, Shiwu Zhang	View PDF
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	EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic under Real-World Perturbations Via Reinforcement Learning Bibek Poudel, Weizi Li, Kevin Heaslip	View PDF
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	BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation Jonas Schramm, Niclas Vödisch, Kürsat Petek, Kiran Ravi, Senthil Yogamani, Wolfram Burgard, Abhinav Valada	View PDF
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	Learning to Simulate Tree-Branch Dynamics for Manipulation Jayadeep Jacob, Tirthankar Bandyopadhyay, Jason Williams, Paulo Vinicius Koerich Borges, Fabio Ramos	View PDF
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	Contacts from Motion: Learning Discrete Features for Automatic Contact Detection and Estimation from Human Movements Hibiki Miyake, Ko Ayusawa, Ryusuke Sagawa, Eiichi Yoshida	View PDF
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	Skin the Sheep Not Only Once: Reusing Various Depth Datasets to Drive the Learning of Optical Flow Sheng Chi Huang, Wei-Chen Chiu	View PDF
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	Toward Control of Wheeled Humanoid Robots with Unknown Payloads: Equilibrium Point Estimation via Real-to-Sim Adaptation DongHoon Baek, Youngwoo Sim, Amartya Purushottam, Saurabh Gupta, Joao Ramos	View PDF
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	Inverse Kinematics of Robotic Manipulators Using a New Learning-By-Example Method Jacket Demby's, Ramy Farag, Guilherme DeSouza	View PDF
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	Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach Yuki Tsuchiya, Thomas Balch, Paul Drews, Guy Rosman	View PDF
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	PP-TIL: Personalized Planning for Autonomous Driving with Instance-Based Transfer Imitation Learning Fangze Lin, Ying He, Fei Yu	View PDF
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	Skill Transfer and Discovery for Sim-To-Real Learning: A Representation-Based Viewpoint Haitong Ma, Zhaolin Ren, Bo Dai, Na Li	View PDF
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	Uncertainty-Aware Deep Imitation Learning and Deployment for Autonomous Navigation through Crowded Intersections Zeyu Zhu, Shuai Wang, Huijing Zhao	View PDF
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	Active Learning-augmented Intention-aware Obstacle Avoidance of Autonomous Surface Vehicles in High-traffic Waters Mingi Jeong, Arihant Chadda, Alberto Quattrini Li	View PDF
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	Learning a Pre-Grasp Manipulation Policy to Effectively Retrieve a Target in Dense Clutter Marios Kiatos, Leonidas Koutras, Iason Sarantopoulos, Zoe Doulgeri	View PDF
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	VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training Mohammad Nazeri, Junzhe Wang, amirreza payandeh, Xuesu Xiao	View PDF
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	Real-Time Spatiotemporal Assistance for Micromanipulation Using Imitation Learning Ryoya Mori, Tadayoshi Aoyama, Taisuke Kobayashi, Kazuya Sakamoto, Masaru Takeuchi, Yasuhisa Hasegawa	View PDF
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	A Non-Invasive Device for Skin Cancer Diagnosis: First Clinical Evidence with Spectroscopic Data Enhanced by Machine Learning Algorithms Vanessa Mainardi, Laura Carletti, Dimitrios Tsiakmakis, Marco Dal Canto, Tommaso Mellilo, Stefano Noferi, Giovanni Bagnoni, Pietro Rubegni, Gastone Ciuti	View PDF
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