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728 result(s) for “Reinforcement Learning” Page 7 of 15
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K-VIL: Keypoints-Based Visual Imitation Learning
Jianfeng Gao, Zhi Tao, Noémie Jaquier, Tamim Asfour
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Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation
Annie Xie, Lisa Lee, Ted Xiao, Chelsea Finn
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Machine Learning-Driven Burrowing with a Snake-Like Robot
Sean Even, Holden Gordon, Hoeseok Yang, Yasemin OZKAN-AYDIN
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Toward the Use of Proxies for Efficient Learning Manipulation and Locomotion Strategies on Soft Robots
Etienne Ménager, Quentin Peyron, Christian Duriez
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QuadricsNet: Learning Concise Representation for Geometric Primitives in Point Clouds
Ji Wu, Huai Yu, Wen Yang, Gui-Song Xia
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Robust Quadrupedal Locomotion Via Risk-Averse Policy Learning
Jiyuan Shi, Chenjia Bai, Haoran He, Lei Han, Dong Wang, Bin Zhao, Mingguo Zhao, Xiu Li, Xuelong Li
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Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning
Noémie Jaquier, Leonel Rozo, Tamim Asfour
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Bi-KVIL: Keypoints-Based Visual Imitation Learning of Bimanual Manipulation Tasks
Jianfeng Gao, Xiaoshu Jin, Franziska Krebs, Noémie Jaquier, Tamim Asfour
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Realtime Brain-Inspired Adaptive Learning Control for Nonlinear Systems with Configuration Uncertainties
Yanhui Zhang, zheyu tong, YiFan Zhang, SONG CHEN, Junyuan Yang, Weifang Chen
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Masked Local-Global Representation Learning for 3D Point Cloud Domain Adaptation
Bowei Xing, Xianghua Ying, Ruibin Wang
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LOTUS: Continual Imitation Learning for Robot Manipulation through Unsupervised Skill Discovery
Weikang Wan, Yifeng Zhu, Rutav Shah, Yuke Zhu
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Learning-Based Motion Planning with Mixture Density Networks
Yinghan Wang, Jianping He, Xiaoming Duan
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LPNet: A Reaction-Based Local Planner for Autonomous Collision Avoidance Using Imitation Learning
Junjie Lu, Bailing Tian, Hongming Shen, Xuewei Zhang, Yulin Hui
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Incremental Learning of Full-Pose Via-Point Movement Primitives on Riemannian Manifolds
Tilman Daab, Noémie Jaquier, Christian R. G. Dreher, Andre Meixner, Franziska Krebs, Tamim Asfour
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A Deep Learning Framework for Non-Symmetrical Coulomb Friction Identification of Robotic Manipulators
Marcel Lahoud, Gabriele Marchello, Mariapaola D'Imperio, Andreas Mueller, Ferdinando Cannella
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Learning User Preferences for Complex Cobotic Tasks: Meta-Behaviors and Human Groups
Elena Vella, Airlie Chapman, Nir Lipovetzky
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Soft and Rigid Object Grasping with Cross-Structure Hand Using Bilateral Control-Based Imitation Learning
Koki Yamane, Yuki Saigusa, Sho Sakaino, Toshiaki Tsuji
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Improving Out-Of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds
Yating Lin, Glen Chou, Dmitry Berenson
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Robotic Grasping of Harvested Tomato Trusses Using Vision and Online Learning
Luuk van den Bent, Tomás Coleman, Robert Babuska
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Joint-Loss Enhanced Self-Supervised Learning for Refinement-Coupled Object 6D Pose Estimation
Fengjun Mu, Shixiang Sun, Rui Huang, Chaobin Zou, Wenjiang Li, Huayi Zhan, Hong Cheng
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Crossway Diffusion: Improving Diffusion-Based Visuomotor Policy Via Self-Supervised Learning
Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo
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Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images
David Benjamin Adrian, Andras Kupcsik, Markus Spies, Heiko Neumann
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Iterative Learning Control for Deformable Open-Frame Cable-Driven Parallel Robots
Wuichung Cheng, Ngo Foon Chan, Darwin Lau
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Joint Response and Background Learning for UAV Visual Tracking
Biao Wang, Wenling Li, Bin Zhang, Yang Liu
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Cascaded Compositional Residual Learning for Complex Interactive Behaviors
Niranjan Kumar Kannabiran, Irfan Essa, Sehoon Ha
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INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields
Julia Hindel, Nikhil Gosala, Kevin Bregler, Abhinav Valada
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Learning Realistic and Reasonable Grasps for Anthropomorphic Hand in Cluttered Scenes
Haonan Duan, Yiming Li, Daheng Li, Wei Wei, Yayu Huang, Peng Wang
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How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems
Oswin So, Zachary Serlin, Makai Mann, Jake Gonzales, Kwesi Rutledge, Nicholas Roy, Chuchu Fan
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Inverse Constraint Learning and Generalization by Transferable Reward Decomposition
Jaehwi Jang, Minjae Song, Daehyung Park
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A Provably Stable Iterative Learning Controller for Continuum Soft Robots
Michele Pierallini, Francesco Stella, Franco Angelini, Bastian Deutschmann, Josie Hughes, Antonio Bicchi, Manolo Garabini, Cosimo Della Santina
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Learning-based Inverse Perception Contracts and Applications
Dawei Sun, benjamin yang, Sayan Mitra
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OpenBot-Fleet: A System for Collective Learning with Real Robots
Matthias Müller, Samarth Manoj Brahmbhatt, Ankur Deka, Quentin Leboutet, David Hafner, Vladlen Koltun
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A Generalized Acquisition Function for Preference-Based Reward Learning
Evan Ellis, Gaurav Ghosal, Stuart Jonathan Russell, Anca Dragan, Erdem Bıyık
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Hierarchical Human-To-Robot Imitation Learning for Long-Horizon Tasks Via Cross-Domain Skill Alignment
Zhenyang Lin, Yurou Chen, Zhiyong Liu
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Discwise Active Learning for LiDAR Semantic Segmentation
Ozan Unal, Dengxin Dai, Ali Tamer Unal, Luc Van Gool
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Masked Gamma-SSL: Learning Uncertainty Estimation Via Masked Image Modeling
David Williams, Matthew Gadd, Paul Newman, Daniele De Martini
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Stable Motion Primitives Via Imitation and Contrastive Learning
Rodrigo Pérez-Dattari, Jens Kober
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Orientation-Aware Multi-Modal Learning for Road Intersection Identification and Mapping
Qibin He, Zhongyang Xiao, Ze Huang, Hongyuan Yuan, Li Sun
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Few-Shot Fruit Segmentation Via Transfer Learning
Jordan James, Heather K. Manching, Amanda M. Hulse-Kemp, William J. Beksi
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HybGrasp: A Hybrid Learning-To-Adapt Architecture for Efficient Robot Grasping
Jungwook Mun, Khang Truong Giang, Yunghee Lee, Nayoung Oh, Sejoon Huh, Min Kim, Sungho Jo
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Learning Self-Confidence from Semantic Action Embeddings for Improved Trust in Human-Robot Interaction
Cedric Goubard, Yiannis Demiris
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Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching
Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson
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Model-Based Runtime Monitoring with Interactive Imitation Learning
Huihan Liu, Shivin Dass, Roberto Martín-Martín, Yuke Zhu
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Doduo: Learning Dense Visual Correspondence from Unsupervised Semantic-Aware Flow
Zhenyu Jiang, Hanwen Jiang, Yuke Zhu
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Learning Complex Motion Plans Using Neural ODEs with Safety and Stability Guarantees
Farhad Nawaz Savvas Sadiq Ali, Tianyu Li, Nikolai Matni, Nadia Figueroa
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WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions
JiYuan Wang, chunyu lin, Lang Nie, shujuan Huang, Xing Pan, Rui Ai, Yao Zhao
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6-DOF Grasp Pose Evaluation and Optimization Via Transfer Learning from NeRFs
Gergely Sóti, Xi Huang, Christian Wurll, Björn Hein
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Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training
Vedant Dave, Fotios Lygerakis, Elmar Rueckert
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A probabilistic approach for learning and adapting shared control skills with the human in the loop
Gabriel Quere, Freek Stulp, David Filliat, João Silvério
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FuncGrasp: Learning Object-Centric Neural Grasp Functions from Single Annotated Example Object
Hanzhi Chen, Binbin Xu, Stefan Leutenegger
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