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603 result(s) for “Incremental Learning” Page 1 of 13
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Incremental Learning of Robotic Manipulation Tasks through Virtual Reality Demonstrations
Giuseppe Rauso, Riccardo Caccavale, Alberto Finzi
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Incremental Triangle Mesh Generation with Mesh Refinement
Jakub Niedźwiedzki, Piotr Lipinski, Leszek Podsedkowski
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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
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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
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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
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Efficient Incremental Penetration Depth Estimation between Convex Geometries
Wei Gao
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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
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OW3Det: Toward Open-World 3D Object Detection for Autonomous Driving
Wenfei Hu, Weikai Lin, Hongyu Fang, Yi Wang, Dingsheng Luo
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Uni-Fusion: Universal Continuous Mapping
Yijun Yuan, Andreas Nuechter
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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
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Continuous Rapid Learning by Human Imitation Using Audio Prompts and One-Shot Learning
Jaime Duque Domingo, Miguel García-GÃ3mez, Eduardo Zalama, Jaime Gomez Garcia Bermejo
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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
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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
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Control of Unknown Quadrotors from a Single Throw
Till Martin Blaha, Ewoud Smeur, Bart Remes
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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
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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
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Online Tree Reconstruction and Forest Inventory on a Mobile Robotic System
Leonard Freißmuth, Matias Mattamala, Nived Chebrolu, Simon Schaefer, Stefan Leutenegger, Maurice Fallon
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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
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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
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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
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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
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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
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StROL: Stabilized and Robust Online Learning from Humans
Shaunak Mehta, Forrest Meng, Andrea Bajcsy, Dylan Losey
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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
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Adaptive Curriculum Learning with Successor Features for Imbalanced Compositional Reward Functions
Laszlo Szoke, Shahaf Shperberg, Jarrett Holtz, Alessandro Gabriele Allievi
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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
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Preventing Catastrophic Forgetting in Continuous Online Learning for Autonomous Driving
Rui Yang, Zhi Yan, Tao Yang, Tomáï¿1⁄2 Krajník, Yassine Ruichek
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Iterative Reference Learning for Cartesian Impedance Control of Robot Manipulators
Julian Mauricio Salt Ducaju, Bjorn Olofsson, Rolf Johansson
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Funnel-Based Reward Shaping for Signal Temporal Logic Tasks in Reinforcement Learning
Naman Saxena, Sandeep Gorantla, Pushpak Jagtap
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A Cascaded Broad Learning System for Manipulator Motion Control
Guoyu Zuo, Shuaifeng Dong, Jiyong Zhou, Shuangyue Yu
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Interactive Reinforcement Learning from Natural Language Feedback
Imene Tarakli, Samuele Vinanzi, Alessandro Di Nuovo
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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
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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
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Progressive Representation Learning for Real-Time UAV Tracking
Changhong Fu, Xiang Lei, Haobo Zuo, Liangliang Yao, Guangze Zheng, Jia Pan
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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
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MFC-EQ: Mean-Field Control with Envelope Q-Learning for Moving Decentralized Agents in Formation
Qiushi Lin, Hang Ma
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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
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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
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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
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Task and Domain Adaptive Reinforcement Learning for Robot Control
Yu Tang Liu, Nilaksh Nilaksh, Aamir Ahmad
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VoxelContrast: Voxel Contrast-Based Unsupervised Learning for 3D Point Clouds
Yuxiang Qin, HAO SUN
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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
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Learning-Informed Long-Horizon Navigation under Uncertainty for Vehicles with Dynamics
Abhish Khanal, Hoang-Dung Bui, Erion Plaku, Gregory Stein
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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
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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
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Learning Safe Locomotion for Quadrupedal Robots by Derived-Action Optimization
Deye Zhu, Chengrui Zhu, Zhen Zhang, Shuo Xin, Yong Liu
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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
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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
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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
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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
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