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594 result(s) for “Reinforcement Learning” Page 6 of 12
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Learning Sampling Distribution and Safety Filter for Autonomous Driving with VQ-VAE and Differentiable Optimization
Simon Idoko, basant sharma, Arun Kumar Singh
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PCDepth: Pattern-Based Complementary Learning for Monocular Depth Estimation by Best of Both Worlds
Haotian Liu, Sanqing Qu, FAN LU, Zongtao Bu, Florian Roehrbein, Alois Knoll, Guang Chen
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StereoNavNet: Learning to Navigate Using Stereo Cameras with Auxiliary Occupancy Voxels
Hongyu Li, Taskin Padir, Huaizu Jiang
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Multi-Modal Motion Prediction Using Temporal Ensembling with Learning-Based Aggregation
Kai-Yin Hong, Chieh-Chih Wang, Wen-Chieh Lin
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Learning to Recover from Plan Execution Errors During Robot Manipulation: A Neuro-Symbolic Approach
Namasivayam Kalithasan, Arnav Tuli, Vishal Bindal, Himanshu Gaurav Singh, Parag Singla, Rohan Paul
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DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark
Tianyi Zhang, Kaining Huang, Weiming Zhi, Matthew Johnson-Roberson
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ARCADE: Scalable Demonstration Collection and Generation Via Augmented Reality for Imitation Learning
Yue Yang, Bryce Ikeda, Gedas Bertasius, Daniel J. Szafir
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Embodied AI with Two Arms: Zero-Shot Learning, Safety and Modularity
Jacob Varley, Sumeet Singh, Deepali Jain, Krzysztof Choromanski, Andy Zeng, Somnath Basu Roy Chowdhury, Avinava Dubey, Vikas Sindhwani
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HyperTaxel: Hyper-Resolution for Taxel-Based Tactile Signals through Contrastive Learning
Hongyu Li, Snehal Dikhale, Jinda Cui, Soshi Iba, Nawid Jamali
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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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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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AutoJoin: Efficient Adversarial Training against Gradient-Free Perturbations for Robust Maneuvering Via Denoising Autoencoder and Joint Learning
Michael Villarreal, Bibek Poudel, Ryan Wickman, Yu Shen, Weizi Li
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Visual Imitation Learning of Task-Oriented Object Grasping and Rearrangement
Yichen Cai, Jianfeng Gao, Christoph Pohl, Tamim Asfour
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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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Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds
Mu Cai, Chenxu Luo, Yong Jae Lee, Xiaodong Yang
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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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Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations
Puhao Li, Tengyu Liu, Yuyang Li, Muzhi Han, Haoran Geng, Shu Wang, Yixin Zhu, Song-Chun Zhu, Siyuan Huang
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Mini-PointNetPlus: A Local Feature Descriptor in Deep Learning Model for Real-Time 3D Environment Perception
Chuanyu Luo, Nuo Cheng, Sikun Ma, Jun Xiang, Xiaohan Li, Shengguang Lei, Pu Li
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A Monte Carlo Approach to Koopman Direct Encoding and Its Application to the Learning of Neural-Network Observables
Nozawa, Itta,Kamienski, Emily,O'Neill, Cormac,Asada, Harry
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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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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 Adaptive Controller for Hydraulic Machinery Automation
Fang Nan, Marco Hutter
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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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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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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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Adaptive Robot Traversability Estimation Based on Self-Supervised Online Continual Learning in Unstructured Environments
Hyung-Suk Yoon, Ji-Hoon Hwang, Chan Kim, E-In Son, Se-Wook Yoo, Seung-Woo Seo
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Real-Time Coordinated Motion Generation: A Hierarchical Deep Predictive Learning Model for Bimanual Tasks
Genki Shikada, Simon Armleder, Hiroshi Ito, Gordon Cheng, Tetsuya Ogata
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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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Learning Autonomous Driving from Aerial Imagery
Varun Murali, Guy Rosman, Sertac Karaman, Daniela Rus
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Enhancing VIO Robustness under Sudden Lighting Variation: A Learning-Based IMU Dead-Reckoning for UAV Localization
Daolong Yang, Liu Haoyuan, XueYing Jin, Jiawei Chen, Chengcai Wang, Xilun DING, Kun Xu
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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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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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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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Skin the Sheep Not Only Once: Reusing Various Depth Datasets to Drive the Learning of Optical Flow
Sheng Chi Huang, Wei-Chen Chiu
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