IROS 2024

1856 papers · 0 AI summaries · 2024

AI summary only

1854 result(s) for “Deep Learning in Grasping and Manipulation” Page 12 of 38

	Title & Authors	Actions
	Towards Accurate and Robust Dynamics and Reward Modeling for Model-Based Offline Inverse Reinforcement Learning Gengyu Zhang, Yan Yan	View PDF
Loading…
	Integrating Online Learning and Connectivity Maintenance for Communication-Aware Multi-Robot Coordination Yupeng Yang, Yiwei Lyu, Yanze Zhang, Ian Gao, Wenhao Luo	View PDF
Loading…
	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
Loading…
	Integrating Model-Based Footstep Planning with Model-Free Reinforcement Learning for Dynamic Legged Locomotion Ho Jae Lee, Seungwoo Hong, Sangbae Kim	View PDF
Loading…
	Learning Autonomous Driving from Aerial Imagery Varun Murali, Guy Rosman, Sertac Karaman, Daniela Rus	View PDF
Loading…
	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
Loading…
	EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic under Real-World Perturbations Via Reinforcement Learning Bibek Poudel, Weizi Li, Kevin Heaslip	View PDF
Loading…
	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
Loading…
	Aligning Learning with Communication in Shared Autonomy Joshua Hoegerman, Shahabedin Sagheb, Benjamin Christie, Dylan Losey	View PDF
Loading…
	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
Loading…
	Inverse Kinematics of Robotic Manipulators Using a New Learning-By-Example Method Jacket Demby's, Ramy Farag, Guilherme DeSouza	View PDF
Loading…
	X-Neuron: Interpreting, Locating and Editing of Neurons in Reinforcement Learning Policy Yuhong Ge, Xun Zhao, Jiangmiao Pang, Mingguo Zhao, Dahua Lin	View PDF
Loading…
	Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach Yuki Tsuchiya, Thomas Balch, Paul Drews, Guy Rosman	View PDF
Loading…
	PP-TIL: Personalized Planning for Autonomous Driving with Instance-Based Transfer Imitation Learning Fangze Lin, Ying He, Fei Yu	View PDF
Loading…
	Skill Transfer and Discovery for Sim-To-Real Learning: A Representation-Based Viewpoint Haitong Ma, Zhaolin Ren, Bo Dai, Na Li	View PDF
Loading…
	Transformer-Based Multi-Agent Reinforcement Learning for Generalization of Heterogeneous Multi-Robot Cooperation Yuxin Cai, Xiangkun He, Hongliang Guo, Wei-Yun Yau, Chen Lv	View PDF
Loading…
	Active Learning-augmented Intention-aware Obstacle Avoidance of Autonomous Surface Vehicles in High-traffic Waters Mingi Jeong, Arihant Chadda, Alberto Quattrini Li	View PDF
Loading…
	I Get the Hang of It! a Learning-Free Method to Predict Hanging Poses for Previously Unseen Objects Wanze Li, LEXIN PAN, Boren Jiang, Yuwei Wu, Weixiao Liu, Gregory Chirikjian	View PDF
Loading…
	Learning the Inverse Kinematics of Magnetic Continuum Robot for Teleoperated Navigation Pingyu Xiang, Ke Qiu, Danying Sun, jingyu zhang, Qin Fang, Xiangyu Mi, Shudong Wang, Mengxiao Chen, Yue Wang, Rong Xiong, Haojian Lu	View PDF
Loading…
	Self-Supervised Learning of Visual Robot Localization Using LED State Prediction As a Pretext Task Mirko Nava, Nicholas Carlotti, Luca Crupi, Daniele Palossi, Alessandro Giusti	View PDF
Loading…
	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
Loading…
	Learning Temporally Composable Task Segmentations with Language Divyanshu Raj, Omkar Deepak Patil, Weiwei Gu, Chitta Baral, Nakul Gopalan	View PDF
Loading…
	PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration Sipu Ruan, Weixiao Liu, Xiaoli Wang, Xin Meng, Gregory Chirikjian	View PDF
Loading…
	Learning a Tracking Controller for Rolling μbots Logan Beaver, Sokolich Max, Suhail Alsalehi, Ron Weiss, Sambeeta Das, Calin Belta	View PDF
Loading…
	Neural Semantic Map-Learning for Autonomous Vehicles Markus Herb, Nassir Navab, Federico Tombari	View PDF
Loading…
	Towards a Surgeon-In-The-Loop Ophthalmic Robotic Apprentice Using Reinforcement and Imitation Learning Amr Gomaa, Bilal Mahdy, Niko Kleer, Antonio Krüger	View PDF
Loading…
	Belief-Aided Navigation Using Bayesian Reinforcement Learning for Avoiding Humans in Blind Spots Jinyeob Kim, KWAK DAEWON, Hyunwoo RIM, Donghan Kim	View PDF
Loading…
	Learning Vehicle Dynamics from Cropped Image Patches for Robot Navigation in Unpaved Outdoor Terrains Jeong Hyun Lee, Jinhyeok Choi, Simo Ryu, Hyunsik Oh, Suyoung Choi, Jemin Hwangbo	View PDF
Loading…
	Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers Aleksandar Krnjaic, Raul Dacian Steleac, Jonathan David Thomas, Georgios Papoudakis, Lukas Schäfer, Andrew To, Kuan-Ho Lao, Murat Cubuktepe, Matthew Haley, Peter Börsting, Stefano V. Albrecht	View PDF
Loading…
	FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding Wei-Bin Kou, Qingfeng Lin, Ming Tang, Shuai Wang, Guangxu Zhu, Yik-Chung Wu	View PDF
Loading…
	SmartPathfinder: Pushing the Limits of Heuristic Solutions for Vehicle Routing Problem with Drones Using Reinforcement Learning Navid Mohammad Imran, Myounggyu Won	View PDF
Loading…
	Learning to Place Unseen Objects Stably Using a Large-Scale Simulation Sangjun Noh, Raeyoung Kang, Taewon Kim, Seunghyeok Back, Seongho Bak, Kyoobin Lee	View PDF
Loading…
	Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning Pengqin Wang, Meixin Zhu, Shaojie Shen	View PDF
Loading…
	Simulation-Assisted Learning for Efficient Bin-Packing of Deformable Packages in a Bimanual Robotic Cell Omey Mohan Manyar, Hantao Ye, Meghana Sagare, Siddharth Mayya, Fan Wang, Satyandra K. Gupta	View PDF
Loading…
	Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression Fernando Acero, Zhibin (Alex) Li	View PDF
Loading…
	D-MARL: A Dynamic Communication-Based Action Space Enhancement for Multi Agent Reinforcement Learning Exploration of Large Scale Unknown Environments Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos	View PDF
Loading…
	Learning Social Cost Functions for Human-Aware Path Planning Andrea Eirale, Matteo Leonetti, Marcello Chiaberge	View PDF
Loading…
	Adaptive Trajectory Database Learning for Nonlinear Control with Hybrid Gradient Optimization Kuan-Yu Tseng, Mengchao Zhang, Kris Hauser, Geir E. Dullerud	View PDF
Loading…
	Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning Yuxuan Jiang, Yujie Yang, Zhiqian Lan, Guojian Zhan, Shengbo Eben Li, Qi Sun, Jian Ma, Tianwen Yu, Changwu Zhang	View PDF
Loading…
	MonoForce: Self-Supervised Learning of Physics-informed Model for Predicting Robot-Terrain Interaction Ruslan Agishev, Karel Zimmermann, Vladimir Kubelka, Martin Pecka, Tomas Svoboda	View PDF
Loading…
	Learning to Estimate the Pose of a Peer Robot in a Camera Image by Predicting the States of Its LEDs Nicholas Carlotti, Mirko Nava, Alessandro Giusti	View PDF
Loading…
	Learning High-Level Semantic-Relational Concepts for SLAM Jose Andres Millan Romera, Hriday Bavle, Muhammad Shaheer, Martin R. Oswald, Holger Voos, Jose Luis Sanchez-Lopez	View PDF
Loading…
	Hierarchical Action Chunking Transformer: Learning Temporal Multimodality from Demonstrations with Fast Imitation Behavior J. hyeon Park, Wonhyuk Choi, Sunpyo Hong, Hoseong Seo, Joonmo Ahn, Changsu Ha, Heungwoo Han, Junghyun Kwon	View PDF
Loading…
	DMFuser: Distilled Multi-Task Learning for End-To-End Transformer-Based Sensor Fusion in Autonomous Driving Pedram Agand, Mohammad Mahdavian, Manolis Savva, Mo Chen	View PDF
Loading…
	Learning Occluded Branch Depth Maps in Forest Environments Using RGB-D Images Christian Geckeler, Emanuele Aucone, Yannick Schnider, Andri Simeon, Jan-Philipp von Bassewitz, Yunying Zhu, Stefano Mintchev	View PDF
Loading…
	Learning Concept-Based Causal Transition and Symbolic Reasoning for Visual Planning Yilue Qian, Peiyu Yu, Ying Nian Wu, Yao Su, Wei Wang, Lifeng Fan	View PDF
Loading…
	Learning-Based Adaptive Admittance Controller for Efficient and Safe pHRI in Contact-Rich Manufacturing Tasks Pouya Pourakbarian Niaz, Engin Erzin, Cagatay Basdogan	View PDF
Loading…
	Reinforcement Learning Control for Autonomous Hydraulic Material Handling Machines with Underactuated Tools Filippo Alberto Spinelli, Pascal Arturo Egli, Julian Nubert, Fang Nan, Thilo Bleumer, Patrick Goegler, Stephan Brockes, Ferdinand Hofmann, Marco Hutter	View PDF
Loading…
	Graph-Propagation-Based Kinematic Algorithm for In-Pipe Truss Structure Robots Yu Chen, Jinyun Xu, Yilin Cai, Shuo Yang, H. Ben Brown, Fujun Ruan, Yizhu Gu, Howie Choset, Lu Li	View PDF
Loading…
	Learning from Spatio-Temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation Seungho Lee, Hwijeong Lee, Hyunjung Shim	View PDF
Loading…