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1177 result(s) for “Deep Learning Methods” Page 11 of 24
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Sim-To-Real Robotic Sketching Using Behavior Cloning and Reinforcement Learning
Biao Jia, Dinesh Manocha
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Cascaded Compositional Residual Learning for Complex Interactive Behaviors
Niranjan Kumar Kannabiran, Irfan Essa, Sehoon Ha
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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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Learning Nonprehensile Dynamic Manipulation: Sim2real Vision-Based Policy with a Surgical Robot
Radian Gondokaryono, Mustafa Haiderbhai, Sai Aneesh Suryadevara, Lueder Alexander Kahrs
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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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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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SPCGC: Scalable Point Cloud Geometry Compression for Machine Vision
Liang Xie, WEI GAO, Huiming Zheng, Ge Li
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Simultaneous Estimation of Shape and Force Along Highly Deformable Surgical Manipulators Using Sparse FBG Measurement
Yiang Lu, Bin LI, Wei Chen, Junyan Yan, Shing Shin Cheng, Jiangliu Wang, Jianshu Zhou, Qi Dou, Yunhui Liu
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Multi-Level Progressive Reinforcement Learning for Control Policy in Physical Simulations
Kefei Wu, Xuming He, Yang Wang, Xiaopei Liu
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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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Learning for Deformable Linear Object Insertion Leveraging Flexibility Estimation from Visual Cues
Mingen Li, Changhyun Choi
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Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization
Fan Yang, Wenxuan Zhou, Zuxin Liu, DING ZHAO, David Held
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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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Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning
Jingyun Yang, Max Sobol Mark, Brandon Vu, Archit Sharma, Jeannette Bohg, Chelsea Finn
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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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Reinforcement Learning for Reduced-Order Models of Legged Robots
Yu-Ming Chen, Hien Bui, Michael Posa
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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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ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch
Zhengrong Xue, Han Zhang, Cheng Jingwen, Zhengmao He, Yuanchen Ju, Changyi Lin, Gu Zhang, Huazhe Xu
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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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Reinforcement Learning with Human Feedback for Realistic Traffic Simulation
Yulong Cao, Boris Ivanovic, Chaowei Xiao, Marco Pavone
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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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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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HumanMimic: Learning Natural Locomotion and Transitions for Humanoid Robot Via Wasserstein Adversarial Imitation
Annan Tang, Takuma Hiraoka, Naoki Hiraoka, Fan Shi, Kento Kawaharazuka, Kunio Kojima, Kei Okada, Masayuki Inaba
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Multi-Robot Cooperative Navigation in Crowds: A Game-Theoretic Learning-Based Model Predictive Control Approach
Viet-Anh Le, Vaishnav Tadiparthi, Behdad Chalaki, Hossein Nourkhiz Mahjoub, Jovin D'sa, Ehsan Moradi-Pari, Andreas Malikopoulos
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Automated Testing of Spatially-Dependent Environmental Hypotheses through Active Transfer Learning
Nicholas Harrison, Nathan Daniel Wallace, Salah Sukkarieh
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One-Shot Imitation Learning with Graph Neural Networks for Pick-And-Place Manipulation Tasks
Francesco Di Felice, Salvatore D'Avella, Alberto Remus, Paolo Tripicchio, Carlo Alberto Avizzano
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Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration
Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, CHEN TANG, Wei Zhan
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Lifelong Robot Library Learning: Bootstrapping Composable and Generalizable Skills for Embodied Control with Language Models
Georgios Tziafas, Hamidreza Kasaei
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RIDER: Reinforcement-Based Inferred Dynamics Via Emulating Rehearsals for Robot Navigation in Unstructured Environments
Sriram Siva, Maggie Wigness
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Decision Making for Human-In-The-Loop Robotic Agents Via Uncertainty-Aware Reinforcement Learning
Siddharth Singi, Zhanpeng He, Alvin Pan, Sandipkumar Patel, Gunnar Sigurdsson, Robinson Piramuthu, Shuran Song, Matei Ciocarlie
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Learning-Based Object Recognition Via a Eutectogel Electronic Skin Enabled Soft Robotic Gripper
Mo Deng, Fengya Fan, Xi Wei
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Unsupervised Learning of Neuro-Symbolic Rules for Generalizable Context-Aware Planning in Object Arrangement Tasks
Siddhant Sharma, Shreshth Tuli, Rohan Paul
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Learning Motion Reconstruction from Demonstration Via Multi-Modal Soft Tactile Sensing
Cheng Pan, Kieran Gilday, Emily Sologuren, Kai Junge, Josie Hughes
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Learning to Walk in Confined Spaces Using 3D Representation
Takahiro Miki, Joonho Lee, Lorenz Wellhausen, Marco Hutter
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Tactile Embeddings for Multi-Task Learning
Yiyue Luo, Murphy Wonsick, Jessica Hodgins, Brian Okorn
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Contrastive Learning-Based Attribute Extraction Method for Enhanced Terrain Classification
Xiao Liu, Hongjin Chen, Haoyao Chen
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Motion Planning As Online Learning: A Multi-Armed Bandit Approach to Kinodynamic Sampling-Based Planning
Marco Faroni, Dmitry Berenson
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VBOC: Learning the Viability Boundary of a Robot Manipulator Using Optimal Control
Asia La Rocca, Matteo Saveriano, Andrea Del Prete
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Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation
Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
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