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1177 result(s) for “Deep Learning Methods” Page 10 of 24
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Learning Barrier-Certified Polynomial Dynamical Systems for Obstacle Avoidance with Robots
Martin Schonger, Hugo Tadashi Kussaba, Lingyun Chen, Luis Figueredo, Abdalla Swikir, Aude Billard, Sami Haddadin
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Learning Language-Conditioned Deformable Object Manipulation with Graph Dynamics
Yuhong Deng, Kai Mo, Chongkun XIA, xueqian WANG
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Conformal Policy Learning for Sensorimotor Control under Distribution Shifts
Huang Huang, Satvik Sharma, Antonio Loquercio, Anastasios Angelopoulos, Ken Goldberg, Jitendra Malik
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Utilizing a Malfunctioning 3D Printer by Modeling Its Dynamics with Machine Learning
Renzo Caballero, Piotr Piękos, Eric Feron, Jurgen Schmidhuber
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Integrating Predictive Motion Uncertainties with Distributionally Robust Risk-Aware Control for Safe Robot Navigation in Crowds
Kanghyun Ryu, Negar Mehr
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Learning Vision-Based Pursuit-Evasion Robot Policies
Andrea Bajcsy, Antonio Loquercio, Ashish Kumar, Jitendra Malik
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Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic
Mohamed-Khalil Bouzidi, Yue Yao, Joerg Reichardt, Daniel Goehring
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Decentralized Motor Skill Learning for Complex Robotic Systems
Yanjiang Guo, Zheyuan Jiang, Yen-Jen Wang, Jingyue Gao, Jianyu Chen
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Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning Based Local Motion Planners
wen zheng terence ng, jianda chen, Sinno Jialin Pan, Tianwei Zhang
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Learning a Stable Dynamic System with a Lyapunov Energy Function for Demonstratives Using Neural Networks
Yu Zhang, Yongxiang Zou, Haoyu Zhang, Xiuze Xia, Long Cheng
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Learning Highly Dynamic Behaviors for Quadrupedal Robots
Chong Zhang, Jiapeng Sheng, Tingguang Li, He Zhang, Cheng Zhou, Qingxu Zhu, Rui Zhao, Yizheng Zhang, Lei Han
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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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Sim2Real Manipulation on Unknown Objects with Tactile-Based Reinforcement Learning
Entong Su, Chengzhe Jia, Yuzhe Qin, Wenxuan Zhou, Annabella Macaluso, Binghao Huang, Xiaolong Wang
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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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Sim-To-Real Learning for Humanoid Box Loco-Manipulation
Jeremy Dao, Helei Duan, Alan Fern
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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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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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Contrastive Initial State Buffer for Reinforcement Learning
Nico Messikommer, Yunlong Song, Davide Scaramuzza
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Learning Vision-Based Bipedal Locomotion for Challenging Terrain
Helei Duan, Bikram Pandit, Mohitvishnu S. Gadde, Bart Jaap van Marum, Jeremy Dao, Chanho Kim, Alan Fern
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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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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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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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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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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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Domain Adaptation of Visual Policies with a Single Demonstration
Weiyao Wang, Gregory Hager
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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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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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SLIM: Skill Learning with Multiple Critics
David Emukpere, Bingbing WU, JULIEN PEREZ, Jean-Michel RENDERS
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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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InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions
Kushal Kedia, Atiksh Bhardwaj, Prithwish Dan, Sanjiban Choudhury
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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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Chance-Aware Lane Change with High-Level Model Predictive Control through Curriculum Reinforcement Learning
Yubin Wang, Yulin Li, Zengqi Peng, Hakim Ghazzai, Jun Ma
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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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