IROS 2024

1856 papers · 0 AI summaries · 2024

AI summary only

1162 result(s) for “Learning from Experience” Page 3 of 24

	Title & Authors	Actions
	Visual Imitation Learning of Task-Oriented Object Grasping and Rearrangement Yichen Cai, Jianfeng Gao, Christoph Pohl, Tamim Asfour	View PDF
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	CaT: Constraints As Terminations for Legged Locomotion Reinforcement Learning Elliot Chane-Sane, Pierre-Alexandre Leziart, Thomas Flayols, Olivier Stasse, Philippe Soueres, Nicolas Mansard	View PDF
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	Imitation Learning for Sim-To-Real Adaptation of Robotic Cutting Policies Based on Residual Gaussian Process Disturbance Force Model Jamie Hathaway, Alireza Rastegarpanah, Rustam Stolkin	View PDF
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	PCDepth: Pattern-Based Complementary Learning for Monocular Depth Estimation by Best of Both Worlds Haotian Liu, Sanqing Qu, FAN LU, Zongtao Bu, Florian Roehrbein, Alois Knoll, Guang Chen	View PDF
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	DecAP : Decaying Action Priors for Accelerated Imitation Learning of Torque-Based Legged Locomotion Policies Shivam Sood, GE SUN, Peizhuo LI, Guillaume Adrien Sartoretti	View PDF
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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	View PDF
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	Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving Lin, Haohong,Ding, Wenhao,Liu, Zuxin,Niu, Yaru,Zhu, Jiacheng,Niu, Yuming,Zhao, Ding	View PDF
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	ViSaRL: Visual Reinforcement Learning Guided by Human Saliency Anthony Liang, Jesse Thomason, Erdem Bıyık	View PDF
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	Constrained Bootstrapped Learning for Few-Shot Robot Skill Adaptation A K M Nadimul Haque, Fouad Sukkar, Lukas Tanz, Marc Carmichael, Teresa A. Vidal-Calleja	View PDF
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	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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	Enabling Maintainablity of Robot Programs in Assembly by Extracting Compositions of Force and Position-Based Robot Skills from Learning-From-Demonstration Models Daniel Bargmann, Werner Kraus, Marco F. Huber	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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	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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	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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	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	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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	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 Sampling Distribution and Safety Filter for Autonomous Driving with VQ-VAE and Differentiable Optimization Simon Idoko, basant sharma, Arun Kumar Singh	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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