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758 result(s) for “Transfer Learning” Page 5 of 16
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TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks
Matthew Sivaprakasam, Parv Maheshwari, Mateo Guaman Castro, Samuel Triest, Micah Nye, Steven Willits, Andrew Saba, Wenshan Wang, Sebastian Scherer
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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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Adapting to the �Open World�: The Utility of Hybrid Hierarchical Reinforcement Learning and Symbolic Planning
Pierrick Lorang, Horvath Helmut, Tobias Kietreiber, Patrik Zips, Clemens Heitzinger, Matthias Scheutz
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Rank2Reward: Learning Shaped Reward Functions from Passive Video
Daniel Yang, Davin Tjia, Jacob Herman Berg, Dima Damen, Pulkit Agrawal, Abhishek Gupta
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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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Learning Agile Flights through Narrow Gaps with Varying Angles Using Onboard Sensing
Yuhan XIE, Minghao Lu, Rui Peng, Peng Lu
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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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Contrastive Initial State Buffer for Reinforcement Learning
Nico Messikommer, Yunlong Song, Davide Scaramuzza
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Automatic Loading of Unknown Material with a Wheel Loader Using Reinforcement Learning
Daniel Eriksson, Reza Ghabcheloo, Marcus Geimer
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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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AdaptAUG: Adaptive Data Augmentation Framework for Multi-Agent Reinforcement Learning
Xin Yu, Yongkai Tian, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi
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Safety-Critical Scenario Generation Via Reinforcement Learning Based Editing
Haolan Liu, Liangjun Zhang, Siva Kumar Sastry Hari, Jishen Zhao
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Learning-Based Propulsion Control for Amphibious Quadruped Robots with Dynamic Adaptation to Changing Environment
Qingfeng Yao, Linghan Meng, Qifeng Zhang, Jing Zhao, Joni Pajarinen, Xiaohui Wang, Zhibin (Alex) Li, Cong Wang
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Enhanced Human-Robot Collaboration with Intent Prediction Using Deep Inverse Reinforcement Learning
Mukund Mitra, Gyanig Kumar, Partha Pratim Chakrabarti, PRADIPTA Biswas
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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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Synthesis of Temporally-Robust Policies for Signal Temporal Logic Tasks Using Reinforcement Learning
Siqi Wang, Shaoyuan Li, Li Yin, Xiang Yin
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Synthesize Efficient Safety Certificates for Learning-Based Safe Control Using Magnitude Regularization
Haotian Zheng, Haitong Ma, Sifa Zheng, Shengbo Eben Li, Jianqiang Wang
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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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ConBaT: Control Barrier Transformer for Safe Robot Learning from Demonstrations
Yue Meng, Sai Vemprala, Rogerio Bonatti, Chuchu Fan, Ashish Kapoor
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SliceIt! - a Dual Simulator Framework for Learning Robot Food Slicing
Cristian Camilo Beltran-Hernandez, Nicolas Erbetti, Masashi Hamaya
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VO-Safe Reinforcement Learning for Drone Navigation
Feiqiang Lin, Changyun Wei, Raphael Grech, Ze Ji
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Learning Terminal State of the Trajectory Planner: Application for Collision Scenarios of Autonomous Vehicles
Joonhee Lim, Kibeom Lee, Dongsuk Kum
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SLIM: Skill Learning with Multiple Critics
David Emukpere, Bingbing WU, JULIEN PEREZ, Jean-Michel RENDERS
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On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach
Alaa Eddine Chriat, Chuangchuang Sun
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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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Lens Capsule Tearing in Cataract Surgery Using Reinforcement Learning
Rebekka Charlotte Peter, Steffen Peikert, Ludwig Haide, Doan Xuan Viet Pham, Tahar Chettaoui, Eleonora Tagliabue, Paul Maria Scheikl, Johannes Fauser, Matthias Hillenbrand, Gerhard Neumann, Franziska Mathis-Ullrich
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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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Learning to Explore Indoor Environments Using Autonomous Micro Aerial Vehicles
Yuezhan Tao, Eran Iceland, Beiming Li, Elchanan Zwecher, Uri Heinemann, Avraham Cohen, Amir Avni, Oren Gal, Ariel Barel, Vijay Kumar
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A Multifidelity Sim-To-Real Pipeline for Verifiable and Compositional Reinforcement Learning
Cyrus Neary, Christian Ellis, Aryaman Singh Samyal, Craig Lennon, Ufuk Topcu
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Data-Driven Latent Space Representation for Robust Bipedal Locomotion Learning
Guillermo A. Castillo, Bowen Weng, Wei Zhang, Ayonga Hereid
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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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End-To-End Reinforcement Learning for Time Optimal Quadcopter Flight
Robin Ferede, Christophe De Wagter, Dario Izzo, Guido de Croon
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A Reinforcement Learning-Based Control Strategy for Robust Interaction of Robotic Systems with Uncertain Environments
Diletta Sacerdoti, Federico Benzi, Cristian Secchi
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Prompt, Plan, Perform: LLM-Based Humanoid Control Via Quantized Imitation Learning
Jingkai SUN, Qiang Zhang, YIQUN DUAN, Xiaoyang Jiang, Chong Cheng, Renjing Xu
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Learning Extrinsic Dexterity with Parameterized Manipulation Primitives
Shih-Min Yang, Martin Magnusson, Johannes A. Stork, Todor Stoyanov
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Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills
Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao
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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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REFORMA: Robust REinFORceMent Learning Via Adaptive Adversary for Drones Flying under Disturbances
Hao-Lun Hsu, Haocheng Meng, Shaocheng Luo, Juncheng Dong, Vahid Tarokh, Miroslav Pajic
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Integrating Robot Assignment and Maintenance Management: A Multi-Agent Reinforcement Learning Approach for Holistic Control
Kshitij Bhatta, Qing Chang
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Touch-Based Manipulation with Multi-Fingered Robot using Off-policy RL and Temporal Contrastive Learning
Naoki Morihira, Pranav Deo, Manoj Bhadu, Akinobu Hayashi, Tadaaki Hasegawa, Satoshi Otsubo, Takayuki Osa
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Prompting Multi-Modal Tokens to Enhance End-To-End AutonomousDriving Imitation Learning with LLMs
YIQUN DUAN, Qiang Zhang, Renjing Xu
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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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