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984 result(s) for “Deep Learning Methods” Page 9 of 20
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Geolocation on Cartographic Maps with Multi-Modal Fusion
Mengjie Zhou, Liu Liu, Yiran Zhong, Andrew Calway
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Scalability of Platoon-Based Coordination for Mixed Autonomy Intersections
Zhongxia Yan, Cathy Wu
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TopoNav: Topological Navigation for Efficient Exploration in Sparse Reward Environments
Jumman Hossain, Abu-Zaher Faridee, Nirmalya Roy, Jade Freeman, Timothy Gregory, Theron T. Trout
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Imitation Learning for Sim-To-Real Adaptation of Robotic Cutting Policies Based on Residual Gaussian Process Disturbance Force Model
Jamie Hathaway, Alireza Rastegarpanah, Rustam Stolkin
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Kosmos-E: Learning to Follow Instruction for Robotic Grasping
Zhi Wang, Xun Wu, Xun Wu, Li Dong, Wang Wenhui, Shuming Ma, Furu Wei
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D3G: Learning Multi-Robot Coordination from Demonstrations
Yizhi Zhou, WANXIN JIN, Xuan Wang
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Scheduling of Robotic Cellular Manufacturing Systems with Timed Petri Nets and Reinforcement Learning
ZhuTao Yao, Bo Huang, Jianyong Lv, Xiaoyu Lu, MeiJi Cui, ShaoHua Yu
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PA-LOCO: Learning Perturbation-Adaptive Locomotion for Quadruped Robots
Zhiyuan Xiao, Xinyu Zhang, Xiang Zhou, Qingrui Zhang
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Learning Fine Pinch-Grasp Skills Using Tactile Sensing from a Few Real-World Demonstrations
Xiaofeng Mao, Yucheng Xu, Ruoshi Wen, Mohammadreza Kasaei, Wanming Yu, Efi Psomopoulou, Nathan Lepora, Zhibin (Alex) Li
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Unsupervised Multiple Proactive Behavior Learning of Mobile Robots for Smooth and Safe Navigation
Arthicha Srisuchinnawong, Jonas Baech, Marek Piotr Hyzy, Tsampikos Kounalakis, Evangelos Boukas, Poramate Manoonpong
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Latent Object Characteristics Recognition with Visual to Haptic-Audio Cross-Modal Transfer Learning
Namiko Saito, Joao Moura, Hiroki Uchida, Sethu Vijayakumar
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Automatic Design of Robot Swarms That Perform Composite Missions: An Approach Based on Inverse Reinforcement Learning
Jeanne Szpirer, David Garzón Ramos, Mauro Birattari
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Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks
Pu Feng, Junkang Liang, Size Wang, Xin Yu, Xin Ji, Yiting Chen, kui zhang, Rongye Shi, Wenjun Wu
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Self Supervised Detection of Incorrect Human Demonstrations: A Path Toward Safe Imitation Learning by Robots in the Wild
Noushad Sojib, Momotaz Begum
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A Hybrid Model and Learning-Based Force Estimation Framework for Surgical Robots
Hao Yang, Haoying Zhou, Gregory Scott Fischer, Jie Ying Wu
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Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections
Zengqi Peng, Xiao Zhou, Lei Zheng, Yubin Wang, Jun Ma
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Learning Symbolic and Subsymbolic Temporal Task Constraints from Bimanual Human Demonstrations
Christian R. G. Dreher, Tamim Asfour
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Waypoint-Based Reinforcement Learning for Robot Manipulation Tasks
Shaunak Mehta, Soheil Habibian, Dylan Losey
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Learning Dynamic Tasks on a Large-Scale Soft Robot in a Handful of Trials
Sicelukwanda Njabuliso Tunner Zwane, Daniel G. Cheney, Curtis C Johnson, Yicheng Luo, Yasemin Bekiroglu, Marc Killpack, Marc Peter Deisenroth
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Pseudo-Rigid Body Networks: Learning Interpretable Deformable Object Dynamics from Partial Observations
Shamil Mamedov, Andreas René Geist, Jan Swevers, Sebastian Trimpe
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Learning Visual Quadrupedal Loco-Manipulation from Demonstrations
Zhengmao He, Kun Lei, Yanjie Ze, Koushil Sreenath, Zhongyu Li, Huazhe Xu
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Learning to Walk and Fly with Adversarial Motion Priors
Giuseppe L'Erario, Drew Hanover, Angel Romero, Yunlong Song, Gabriele Nava, Paolo Maria Viceconte, Daniele Pucci, Davide Scaramuzza
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Learning Locomotion for Quadruped Robots Via Distributional Ensemble Actor-Critic
Sicen Li, YiMing Pang, Panju Bai, Jiawei Li, Zhaojin Liu, Shihao Hu, Li-Quan Wang, Gang Wang
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Learning Multi-Reference Frame Skills from Demonstration with Task-Parameterized Gaussian Processes
Mariano Ramirez Montero, Giovanni Franzese, Jens Kober, Cosimo Della Santina
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RelationGrasp: Object-Oriented Prompt Learning for Simultaneously Grasp Detection and Manipulation Relationship in Open Vocabulary
Songting Liu, Tat Joo Teo, Zhiping Lin, Haiyue Zhu
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VTTB: A Visuo-Tactile Learning Approach for Robot-Assisted Bed Bathing
Yijun Gu, Yiannis Demiris
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On Learning Scene-Aware Generative State Abstractions for Task-Level Mobile Manipulation Planning
Julian Förster, Jen Jen Chung, Lionel Ott, Roland Siegwart
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Robust Imitation Learning for Mobile Manipulator Focusing on Task-Related Viewpoints and Regions
Yutaro Ishida, Yuki Noguchi, Takayuki Kanai, Kazuhiro Shintani, Hiroshi Bito
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Car-Studio: Learning Car Radiance Fields from Single-View and Unlimited In-The-Wild Images
Tianyu Liu, Hao Zhao, Yang Yu, Guyue Zhou, Ming Liu
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Synergistic Reinforcement and Imitation Learning for Vision-Driven Autonomous Flight of UAV Along River
Zihan Wang, Jianwen Li, Nina Mahmoudian
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Robot Generating Data for Learning Generalizable Visual Robotic Manipulation
Yunfei Li, Ying Yuan, Jingzhi Cui, Haoran Huan, Wei Fu, Jiaxuan Gao, Zekai Xu, Yi Wu
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Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning
Ce Hao, Catherine Weaver, CHEN TANG, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan
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TraKDis: A Transformer-Based Knowledge Distillation Approach for Visual Reinforcement Learning with Application to Cloth Manipulation
Wei Chen, Nicolas Rojas
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Interactive Learning of Physical Object Properties through Robot Manipulation and Database of Object Measurements
Andrej Kru�liak, Jiri Hartvich, Shubhan Patni, Lukas Rustler, Jan Kristof Behrens, Fares Abu-Dakka, Krystian Mikolajczyk, Ville Kyrki, Matej Hoffmann
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Multi-Modal Representation Learning with Tactile Data
Hyung-gun Chi, Jean Mercat, Jose Barreiros, Karthik Ramani, Thomas Kollar
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Language-Guided Pattern Formation for Swarm Robotics with Multi-Agent Reinforcement Learning
Hsu-Shen Liu, So Kuroki, Tadashi Kozuno, Wei-Fang Sun, Chun-Yi Lee
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Integrating Online Learning and Connectivity Maintenance for Communication-Aware Multi-Robot Coordination
Yupeng Yang, Yiwei Lyu, Yanze Zhang, Ian Gao, Wenhao Luo
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RaceMOP: Mapless Online Path Planning for Multi-Agent Autonomous Racing Using Residual Policy Learning
Raphael Trumpp, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada, Marco Caccamo
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Integrating Model-Based Footstep Planning with Model-Free Reinforcement Learning for Dynamic Legged Locomotion
Ho Jae Lee, Seungwoo Hong, Sangbae Kim
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Learning Autonomous Driving from Aerial Imagery
Varun Murali, Guy Rosman, Sertac Karaman, Daniela Rus
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Exploratory Motion Guided Tactile Learning for Shape-Consistent Robotic Insertion
Gang Yan, Jinsong HE, Satoshi Funabashi, Alexander Schmitz, Shigeki Sugano
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EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic under Real-World Perturbations Via Reinforcement Learning
Bibek Poudel, Weizi Li, Kevin Heaslip
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Torque Ripple Reduction in Quasi-Direct Drive Motors through Angle-Based Repetitive Learning Observer and Model Predictive Torque Controller
Hefei Zhang, Xiaohu Zhang, Jinyu Cheng, Jiangtao Hu, Chao Ji, Yu Wang, Yutong Jiang, Zhen Han, Wei Gao, Shiwu Zhang
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BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation
Jonas Schramm, Niclas Vödisch, Kürsat Petek, Kiran Ravi, Senthil Yogamani, Wolfram Burgard, Abhinav Valada
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Learning to Simulate Tree-Branch Dynamics for Manipulation
Jayadeep Jacob, Tirthankar Bandyopadhyay, Jason Williams, Paulo Vinicius Koerich Borges, Fabio Ramos
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Contacts from Motion: Learning Discrete Features for Automatic Contact Detection and Estimation from Human Movements
Hibiki Miyake, Ko Ayusawa, Ryusuke Sagawa, Eiichi Yoshida
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Aligning Learning with Communication in Shared Autonomy
Joshua Hoegerman, Shahabedin Sagheb, Benjamin Christie, Dylan Losey
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X-Neuron: Interpreting, Locating and Editing of Neurons in Reinforcement Learning Policy
Yuhong Ge, Xun Zhao, Jiangmiao Pang, Mingguo Zhao, Dahua Lin
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Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach
Yuki Tsuchiya, Thomas Balch, Paul Drews, Guy Rosman
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Skill Transfer and Discovery for Sim-To-Real Learning: A Representation-Based Viewpoint
Haitong Ma, Zhaolin Ren, Bo Dai, Na Li
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