IROS 2024

1856 papers · 0 AI summaries · 2024

AI summary only

603 result(s) for “Incremental Learning” Page 1 of 13

	Title & Authors	Actions
	Incremental Learning of Robotic Manipulation Tasks through Virtual Reality Demonstrations Giuseppe Rauso, Riccardo Caccavale, Alberto Finzi	View PDF
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	Incremental Triangle Mesh Generation with Mesh Refinement Jakub Niedźwiedzki, Piotr Lipinski, Leszek Podsedkowski	View PDF
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	A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces Moshe Shienman, Ohad Levy-Or, Michael Kaess, Vadim Indelman	View PDF
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	Hierarchical Incremental MPC for Redundant Robots: A Robust and Singularity-Free Approach Yongchao Wang, Yang Liu, Marion Leibold, Martin Buss, Jinoh Lee	View PDF
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	Attitude Control of the Hydrobatic Intervention AUV Cuttlefish Using Incremental Nonlinear Dynamic Inversion Tom Slawik, Shubham Vyas, Leif Christensen, Frank Kirchner	View PDF
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	Efficient Incremental Penetration Depth Estimation between Convex Geometries Wei Gao	View PDF
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	MCGMapper: Light-Weight Incremental Structure from Motion and Visual Localization with Planar Markers and Camera Groups Yusen Xie, Zhenmin Huang, Kai Chen, Lei Zhu, Jun Ma	View PDF
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	OW3Det: Toward Open-World 3D Object Detection for Autonomous Driving Wenfei Hu, Weikai Lin, Hongyu Fang, Yi Wang, Dingsheng Luo	View PDF
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	Uni-Fusion: Universal Continuous Mapping Yijun Yuan, Andreas Nuechter	View PDF
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	CSR: A Lightweight Crowdsourced Road Structure Reconstruction System for Autonomous Driving Huayou Wang, Qingyao Liu, Jiazheng Wu, Kun Liu, Chao Ding, Xianpeng Lang, Changliang Xue	View PDF
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	Continuous Rapid Learning by Human Imitation Using Audio Prompts and One-Shot Learning Jaime Duque Domingo, Miguel GarcÃa-GÃ3mez, Eduardo Zalama, Jaime Gomez Garcia Bermejo	View PDF
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	CMR-Agent: Learning a Cross-Modal Agent for Iterative Image-To-Point Cloud Registration Gongxin Yao, Yixin Xuan, Xinyang Li, Yu Pan	View PDF
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	LTL-D*: Incrementally Optimal Replanning for Feasible and Infeasible Tasks in Linear Temporal Logic Specifications Jiming Ren, Haris Miller, Karen Feigh, Samuel Coogan, Ye Zhao	View PDF
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	Control of Unknown Quadrotors from a Single Throw Till Martin Blaha, Ewoud Smeur, Bart Remes	View PDF
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	Robot Traversability Prediction: Towards Third-Person-View Extension of Walk2Map with Photometric and Physical Constraints Jonathan Tay Yu Liang, Kanji Tanaka	View PDF
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	NF-SLAM: Effective, Normalizing Flow-Supported Neural Field Representations for Object-Level Visual SLAM in Automotive Applications Li Cui, Yang Ding, Richard Hartley, Zirui Xie, Laurent Kneip, ZHENGHUA YU	View PDF
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	Online Tree Reconstruction and Forest Inventory on a Mobile Robotic System Leonard FreiÃmuth, Matias Mattamala, Nived Chebrolu, Simon Schaefer, Stefan Leutenegger, Maurice Fallon	View PDF
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	ROG-Map: An Efficient Robocentric Occupancy Grid Map for Large-Scene and High-Resolution LiDAR-Based Motion Planning Yunfan Ren, Yixi Cai, Fangcheng Zhu, Siqi Liang, Fu Zhang	View PDF
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	Incrementally Building Room-Scale Language-Embedded Gaussian Splats (LEGS) with a Mobile Robot Justin Yu, Kush Hari, Kishore Srinivas, Karim El-Refai, Adam Rashid, Chung Min Kim, Justin Kerr, Richard Cheng, Muhammad Zubair Irshad, Ashwin Balakrishna, Thomas Kollar, Ken Goldberg	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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	Neural ODE-Based Imitation Learning (NODE-IL): Data-Efficient Imitation Learning for Long-Horizon Multi-Skill Robot Manipulation Shiyao Zhao, Yucheng Xu, Mohammadreza Kasaei, Mohsen Khadem, Zhibin (Alex) Li	View PDF
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	Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards Hyeokjin Kwon, Gunmin Lee, Junseo Lee, Songhwai Oh	View PDF
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	StROL: Stabilized and Robust Online Learning from Humans Shaunak Mehta, Forrest Meng, Andrea Bajcsy, Dylan Losey	View PDF
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	Learning When to Stop: Efficient Active Tactile Perception with Deep Reinforcement Learning Christopher Niemann, David Philip Leins, Luca Lach, Robert Haschke	View PDF
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	Adaptive Curriculum Learning with Successor Features for Imbalanced Compositional Reward Functions Laszlo Szoke, Shahaf Shperberg, Jarrett Holtz, Alessandro Gabriele Allievi	View PDF
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	Contact-Rich SE(3) Equivariant Robot Manipulation Task Learning Via Geometric Impedance Control Joohwan Seo, Nikhil Potu Surya Prakash, Xiang Zhang, Changhao Wang, Jongeun Choi, Masayoshi Tomizuka, Roberto HOROWITZ	View PDF
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	Preventing Catastrophic Forgetting in Continuous Online Learning for Autonomous Driving Rui Yang, Zhi Yan, Tao Yang, TomÃ¡ï¿1⁄2 KrajnÃk, Yassine Ruichek	View PDF
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	Iterative Reference Learning for Cartesian Impedance Control of Robot Manipulators Julian Mauricio Salt Ducaju, Bjorn Olofsson, Rolf Johansson	View PDF
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	Funnel-Based Reward Shaping for Signal Temporal Logic Tasks in Reinforcement Learning Naman Saxena, Sandeep Gorantla, Pushpak Jagtap	View PDF
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	A Cascaded Broad Learning System for Manipulator Motion Control Guoyu Zuo, Shuaifeng Dong, Jiyong Zhou, Shuangyue Yu	View PDF
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	Interactive Reinforcement Learning from Natural Language Feedback Imene Tarakli, Samuele Vinanzi, Alessandro Di Nuovo	View PDF
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	Bi-CL: A Reinforcement Learning Framework for Robots Coordination through Bi-Level Optimization Zechen Hu, Daigo Shishika, Xuesu Xiao, Xuan Wang	View PDF
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	Offline Meta-Reinforcement Learning with Evolving Gradient Agreement Jiaxing Chen, Weilin Yuan, Shaofei Chen, furong liu, AO MA, Zhenzhen Hu, Peng Li	View PDF
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	Progressive Representation Learning for Real-Time UAV Tracking Changhong Fu, Xiang Lei, Haobo Zuo, Liangliang Yao, Guangze Zheng, Jia Pan	View PDF
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	Crowd-Aware Robot Navigation with Switching between Learning-Based and Rule-Based Methods Using Normalizing Flows Kohei Matsumoto, Yuki Hyodo, Ryo Kurazume	View PDF
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	MFC-EQ: Mean-Field Control with Envelope Q-Learning for Moving Decentralized Agents in Formation Qiushi Lin, Hang Ma	View PDF
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	Tactile Active Inference Reinforcement Learning for Efficient Robotic Manipulation Skill Acquisition Zihao Liu, Xing Liu, Zhengxiong Liu, Yizhai Zhang, Panfeng Huang	View PDF
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	Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning Jishnu Jaykumar P, Kamalesh Palanisamy, Yu-Wei Chao, Xinya Du, Yu Xiang	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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	Task and Domain Adaptive Reinforcement Learning for Robot Control Yu Tang Liu, Nilaksh Nilaksh, Aamir Ahmad	View PDF
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	VoxelContrast: Voxel Contrast-Based Unsupervised Learning for 3D Point Clouds Yuxiang Qin, HAO SUN	View PDF
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	A Safe Preference Learning Approach for Personalization with Applications to Autonomous Vehicles Ruya Karagulle, Nikos Arechiga, Andrew Best, Jonathan DeCastro, Necmiye Ozay	View PDF
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	Learning-Informed Long-Horizon Navigation under Uncertainty for Vehicles with Dynamics Abhish Khanal, Hoang-Dung Bui, Erion Plaku, Gregory Stein	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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	DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories Matteo El Hariry, Antoine Richard, Vivek Muralidharan, Matthieu Geist, Miguel A. Olivares-Mendez	View PDF
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	Learning Safe Locomotion for Quadrupedal Robots by Derived-Action Optimization Deye Zhu, Chengrui Zhu, Zhen Zhang, Shuo Xin, Yong Liu	View PDF
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	Autonomous Landing on a Moving Platform Using Vision-Based Deep Reinforcement Learning Pawel Ladosz, Meraj Mammadov, Heejung Shin, Woojae Shin, Hyondong Oh	View PDF
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	A Framework for Neurosymbolic Goal-Conditioned Continual Learning for Open World Environments Pierrick Lorang, Shivam Goel, Yash Shukla, Patrik Zips, Matthias Scheutz	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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	Adaptive Social Force Window Planner with Reinforcement Learning Mauro Martini, Noe Perez-Higueras, Andrea Ostuni, Marcello Chiaberge, Fernando Caballero, Luis Merino	View PDF
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