IROS 2024

1856 papers · 0 AI summaries · 2024

AI summary only

1144 result(s) for “Bioinspired Robot Learning” Page 6 of 23

	Title & Authors	Actions
	Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds Mu Cai, Chenxu Luo, Yong Jae Lee, Xiaodong Yang	View PDF
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	Mitigating Adversarial Perturbations for Deep Reinforcement Learning Via Vector Quantization Tung Luu, Thanh Nguyen, Joshua Tian Jin Tee, Sungwoong Kim, Chang D. Yoo	View PDF
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	Mini-PointNetPlus: A Local Feature Descriptor in Deep Learning Model for Real-Time 3D Environment Perception Chuanyu Luo, Nuo Cheng, Sikun Ma, Jun Xiang, Xiaohan Li, Shengguang Lei, Pu Li	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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	When, What, and with Whom to Communicate: Enhancing RL-Based Multi-Robot Navigation through Selective Communication Senthil Hariharan Arul, Amrit Singh Bedi, Dinesh Manocha	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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	Learning Adaptive Controller for Hydraulic Machinery Automation Fang Nan, Marco Hutter	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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	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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	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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	Multi-Modal Representation Learning with Tactile Data Hyung-gun Chi, Jean Mercat, Jose Barreiros, Karthik Ramani, Thomas Kollar	View PDF
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	FNPG-NH: A Reinforcement Learning Framework for Flexible Needle Path Generation with Nonholonomic Constraints Shah, Mukund,Patel, Niravkumar	View PDF
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	Language-Guided Pattern Formation for Swarm Robotics with Multi-Agent Reinforcement Learning Hsu-Shen Liu, So Kuroki, Tadashi Kozuno, Wei-Fang Sun, Chun-Yi Lee	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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	Bayesian Optimization for Sample-Efficient Policy Improvement in Robotic Manipulation Adrian Röfer, Iman Nematollahi, Tim Welschehold, Wolfram Burgard, Abhinav Valada	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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	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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	Exploratory Motion Guided Tactile Learning for Shape-Consistent Robotic Insertion Gang Yan, Jinsong HE, Satoshi Funabashi, Alexander Schmitz, Shigeki Sugano	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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	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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	Collaboration Strategies for Two Heterogeneous Pursuers in A Pursuit-Evasion Game Using Deep Reinforcement Learning Zhanping Zhong, Zhuoning Dong, Xiaoming Duan, Jianping He	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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	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
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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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	CenterGrasp: Object-Aware Implicit Representation Learning for Simultaneous Shape Reconstruction and 6-DoF Grasp Estimation Eugenio Chisari, Nick Heppert, Tim Welschehold, Wolfram Burgard, Abhinav Valada	View PDF
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	Deep Learning-Based Delay Compensation Framework for Teleoperated Wheeled Rovers on Soft Terrains Ahmad Abubakar, Yahya Zweiri, Mubarak Yakubu, Ruqqayya Alhammadi, Mohammed Mohiuddin, Abdel Gafoor Haddad, Jorge Dias, Lakmal Seneviratne	View PDF
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	SuPerPM: A Surgical Perception Framework Based on Deep Point Matching Learned from Physical Constrained Simulation Data Shan Lin, Albert Miao, Ali Alabiad, Fei Liu, Kaiyuan Wang, Jingpei Lu, Florian Richter, Michael C. Yip	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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	Learning a Tracking Controller for Rolling μbots Logan Beaver, Sokolich Max, Suhail Alsalehi, Ron Weiss, Sambeeta Das, Calin Belta	View PDF
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	Neural Semantic Map-Learning for Autonomous Vehicles Markus Herb, Nassir Navab, Federico Tombari	View PDF
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	Adaptive Stochastic Nonlinear Model Predictive Control with Look-Ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control Baha Zarrouki, Chenyang Wang, Johannes Betz	View PDF
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	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
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	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
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	SmartPathfinder: Pushing the Limits of Heuristic Solutions for Vehicle Routing Problem with Drones Using Reinforcement Learning Navid Mohammad Imran, Myounggyu Won	View PDF
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	Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning Pengqin Wang, Meixin Zhu, Shaojie Shen	View PDF
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	Efficient Multimodal Semantic Segmentation Via Dual-Prompt Learning Shaohua Dong, Yunhe Feng, Qing Yang, Yan Huang, Dongfang Liu, Heng Fan	View PDF
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	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
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	Temporal- and Viewpoint-Invariant Registration for Under-Canopy Footage using Deep-Learning-based Bird's-Eye View Prediction Jiawei Zhou, Ruben Mascaro, Cesar Cadena Lerma, Margarita Chli, Lucas Teixeira	View PDF
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