IROS 2024

1856 papers · 0 AI summaries · 2024

AI summary only

1161 result(s) for “Learning from Demonstration” Page 3 of 24

	Title & Authors	Actions
	TinyLidarNet: 2D Lidar-Based End-To-End Deep Learning Model for F1TENTH Autonomous Racing Mohammed Misbah Zarrar, QiTao Weng, Bakhbyergyen Yerjan, Ahmet Soyyigit, Heechul Yun	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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	Latent Object Characteristics Recognition with Visual to Haptic-Audio Cross-Modal Transfer Learning Namiko Saito, Joao Moura, Hiroki Uchida, Sethu Vijayakumar	View PDF
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	X-Neuron: Interpreting, Locating and Editing of Neurons in Reinforcement Learning Policy Yuhong Ge, Xun Zhao, Jiangmiao Pang, Mingguo Zhao, Dahua Lin	View PDF
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	Learning to Walk and Fly with Adversarial Motion Priors Giuseppe L'Erario, Drew Hanover, Angel Romero, Yunlong Song, Gabriele Nava, Paolo Maria Viceconte, Daniele Pucci, Davide Scaramuzza	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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	Enhancing Object Grasping Efficiency with Deep Learning and Post-Processing for Multi-Finger Robotic Hands Pouya Samandi, Kamal Gupta, mehran mehrandezh	View PDF
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	Data-Efficient Task Generalization via Probabilistic Model-Based Meta Reinforcement Learning Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause	View PDF
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	Meta-Learning for Fast Adaptation in Intent Inferral on a Robotic Hand Orthosis for Stroke Pedro Leandro La Rotta, Jingxi Xu, Ava Chen, Lauren Winterbottom, Wenxi Chen, Dawn Nilsen, Joel Stein, Matei Ciocarlie	View PDF
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	MARRGM: Learning Framework for Multi-Agent Reinforcement Learning Via Reinforcement Recommendation and Group Modification Wu, Peiliang,Tian, Liqiang,Zhang, Qian,Mao, BingYi,Chen, Wenbai	View PDF
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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	View PDF
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	Enhancing Safety Via Deep Reinforcement Learning in Trajectory Planning for Agile Flights within Unknown Environments Lidia Rocha, Jorge Bidinotto, Fredrik Heintz, Mattias Tiger, Kelen Cristiane Teixeira Vivaldini	View PDF
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	FF-SRL: High Performance GPU-Based Surgical Simulation for Robot Learning Diego Dall'Alba, Michał Naskręt, Sabina Kamińska, Przemyslaw Korzeniowski	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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	A Non-Homogeneity Mapless Navigation Based on Hierarchical Safe Reinforcement Learning in Dynamic Complex Environments Jianmin Qin, Qingchen Liu, Qichao Ma, Zipeng Wu, Jiahu Qin	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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	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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	LEEPS: Learning End-To-End Legged Perceptive Parkour Skills on Challenging Terrains Tangyu Qian, Hao Zhang, Zhangli Zhou, Hao Wang, Cai Mingyu, Zhen Kan	View PDF
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	Learning from Spatio-Temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation Seungho Lee, Hwijeong Lee, Hyunjung Shim	View PDF
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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	View PDF
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	Speeding up Path Planning Via Reinforcement Learning in MCTS for Automated Parking Xinlong Zheng, Xiaozhou Zhang, Donghao Xu	View PDF
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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	View PDF
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	Collision-Free Robot Navigation in Crowded Environments Using Learning Based Convex Model Predictive Control ZhuangLei Wen, Mingze Dong, xiai chen	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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	Image-Based Deep Reinforcement Learning with Intrinsically Motivated Stimuli: On the Execution of Complex Robotic Tasks David Patricio Valencia Redrovan, Henry Williams, Yuning Xing, Trevor Gee, Minas Liarokapis, Bruce MacDonald	View PDF
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	Working Backwards: Learning to Place by Picking Oliver Limoyo, Abhisek Konar, Trevor Ablett, Jonathan Kelly, Francois Hogan, Gregory Dudek	View PDF
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	SCP: Soft Conditional Prompt Learning for Aerial Video Action Recognition Xijun Wang, Ruiqi Xian, Tianrui Guan, Fuxiao Liu, Dinesh Manocha	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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	GraspContrast: Self-Supervised Contrastive Learning with False Negative Elimination for 6-DoF Grasp Detection Wenshuo Wang, Haiyue Zhu, Marcelo H Ang Jr	View PDF
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	Self-Supervised Curriculum Generation for Autonomous Reinforcement Learning without Task-Specific Knowledge Sang-Hyun Lee, Seung-Woo Seo	View PDF
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	Autonomous Storytelling for Social Robot with Human-Centered Reinforcement Learning Lei Zhang, Chuanxiong Zheng, Hui Wang, Randy Gomez, Eric Nichols, Guangliang Li	View PDF
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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	View PDF
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	DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark Tianyi Zhang, Kaining Huang, Weiming Zhi, Matthew Johnson-Roberson	View PDF
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	DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction Ameya Pore, Riccardo Muradore, Diego Dall'Alba	View PDF
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	Learning Agile Locomotion on Risky Terrains Chong Zhang, Nikita Rudin, David Hoeller, Marco Hutter	View PDF
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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	View PDF
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	Social Navigation in Crowded Environments with Model Predictive Control and Deep Learning-Based Human Trajectory Prediction Viet-Anh Le, Behdad Chalaki, Vaishnav Tadiparthi, Hossein Nourkhiz Mahjoub, Jovin D'sa, Ehsan Moradi-Pari	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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	Socially Integrated Navigation: A Social Acting Robot with Deep Reinforcement Learning Daniel Flögel, Lars Fischer, Thomas Rudolf, Tobias Schürmann, Sören Hohmann	View PDF
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	Open Human-Robot Collaboration using Decentralized Inverse Reinforcement Learning PRASANTH SENGADU SURESH, Siddarth Jain, Prashant Doshi, Diego Romeres	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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	Experience-Learning Inspired Two-Step Reward Method for Efficient Legged Locomotion Learning towards Natural and Robust Gaits Yinghui Li, Jinze Wu, Xin Liu, Weizhong Guo, Yufei Xue	View PDF
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	Learning Adaptive Controller for Hydraulic Machinery Automation Fang Nan, Marco Hutter	View PDF
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	Learning Locomotion for Quadruped Robots Via Distributional Ensemble Actor-Critic Sicen Li, YiMing Pang, Panju Bai, Jiawei Li, Zhaojin Liu, Shihao Hu, Li-Quan Wang, Gang Wang	View PDF
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	Learning Temporally Composable Task Segmentations with Language Divyanshu Raj, Omkar Deepak Patil, Weiwei Gu, Chitta Baral, Nakul Gopalan	View PDF
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	Gradient-Based Regularization for Action Smoothness in Robotic Control with Reinforcement Learning Yi Li, Hoang-Giang Cao, Cong-Tinh Dao, Yu-Cheng Chen, I-Chen Wu	View PDF
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	Aligning Learning with Communication in Shared Autonomy Joshua Hoegerman, Shahabedin Sagheb, Benjamin Christie, Dylan Losey	View PDF
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	Learning Generalizable Manipulation Policy with Adapter-Based Parameter Fine-Tuning Kai Lu, Kim Tien Ly, William Hebberd, kaichen zhou, Ioannis Havoutis, Andrew Markham	View PDF
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	Learning Dynamic Tasks on a Large-Scale Soft Robot in a Handful of Trials Sicelukwanda Njabuliso Tunner Zwane, Daniel G. Cheney, Curtis C Johnson, Yicheng Luo, Yasemin Bekiroglu, Marc Killpack, Marc Peter Deisenroth	View PDF
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