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1599 result(s) for “Model Learning for Control” Page 4 of 32
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Integrated Vector Field and Backstepping Control for Quadcopters
Arthur Henrique Dias Nunes, Guilherme V. Raffo, Luciano Pimenta
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RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control
Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles Loop, Alexander Schwing, Stan Birchfield
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Modeling of a Robotic Transcatheter Delivery System
Namrata Unnikrishnan Nayar, Ronghuai Qi, Jaydev P. Desai
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Trajectory error compensation for optimal control of UMA-2 � a climbing robot executing maintenance operation in harsh environment.
Diego Gitardi, Simone Sabbadini, Anna Valente
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Learning Food Picking without Food: Fracture Anticipation by Breaking Reusable Fragile Objects
Rinto Yagawa, Reina Ishikawa, Masashi Hamaya, Kazutoshi Tanaka, Atsushi Hashimoto, Hideo Saito
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Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction
Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, Jan Peters, Georgia Chalvatzaki
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Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms
Resul Dagdanov, Halil Durmuş, Nazim Kemal Ure
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Data-Efficient Non-Parametric Modelling and Control of an Extensible Soft Manipulator
Mohammadreza Kasaei, Keyhan Kouhkiloui Babarahmati, Zhibin Li, Mohsen Khadem
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Meta-Reinforcement Learning Via Language Instructions
Zhenshan Bing, Alexander Koch, Xiangtong Yao, Kai Huang, Alois Knoll
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Deep Metric Learning for Visual Servoing: When Pose and Image Meet in Latent Space
Samuel Felton, Elisa Fromont, Eric Marchand
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Aligning Human Preferences with Baseline Objectives in Reinforcement Learning
Daniel Marta, Simon Holk, Christian Pek, Jana Tumova, Iolanda Leite
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Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning
David Brandfonbrener, Stephen Tu, Avi Singh, Stefan Welker, Chad Boodoo, Nikolai Matni, Jacob Varley
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Structured Motion Generation with Predictive Learning: Proposing Subgoal for Long-Horizon Manipulation
Namiko Saito, Joao Moura, Tetsuya Ogata, Marina Y. Aoyama, Shingo Murata, Shigeki Sugano, Sethu Vijayakumar
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Foot Stepping Algorithm of Humanoids with Double Support Time Adjustment Based on Capture Point Control
Myeong-Ju Kim, Daegyu Lim, Gyeongjae Park, Jaeheung Park
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Online Learning and Suppression of Vibration in Collaborative Robots with Power Tools
Gokhan Solak, Arash Ajoudani
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Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning
Joaquim Ortiz-Haro, Jung-Su Ha, Danny Driess, Erez Karpas, Marc Toussaint
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Real-Time Unified Trajectory Planning and Optimal Control for Urban Autonomous Driving under Static and Dynamic Obstacle Constraints
Rowan Dempster, Mohammad Alsharman, Derek Rayside, William Melek
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Off-policy Imitation Learning from Visual Inputs
Zhihao Cheng, Li Shen, Dacheng TAO
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Markovian Transparency Control of an Exoskeleton Robot
Felix M Escalante, Leonardo Felipe dos Santos, Yecid Moreno, Adriano Siqueira, Marco Henrique Terra, Thiago Boaventura
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Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios
Zhili Zhang, Songyang Han, Jiangwei Wang, Fei Miao
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Deep Learning Reactive Robotic Grasping with a Versatile Vacuum Gripper
Zhang, Hui,Peeters, Jef,Demeester, Eric,Kellens, Karel
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Using Memory-Based Learning to Solve Tasks with State-Action Constraints
Mrinal Verghese, Christopher Atkeson
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Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning
Abraham George, Alison Bartsch, Amir Barati Farimani
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Self-Adaptive Teaching-Learning-Based Optimizer with Improved RBF and Sparse Autoencoder for Complex Optimization Problems
Jing Bi, Ziqi Wang, Haitao Yuan, Junfei Qiao, Jia Zhang, MengChu Zhou
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Development and Experimental Verification of a 3D Dynamic Absolute Nodal Coordinate Formulation Model of Flexible Prostate Biopsy/Brachytherapy Needles
Athanasios Martsopoulos, Thomas Hill, Raj Persad, Stefanos Bolomytis, Antonia Tzemanaki
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Congestion Prediction for Large Fleets of Mobile Robots
Ge Yu, Michael Wolf
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STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Follow-Ahead
Mohammad Mahdavian, Payam Nikdel, Mahdi Taherahmadi, Mo Chen
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Neuro-Adaptive Dynamic Control with Edge-Computing for Collaborative Digital Twin of an Industrial Robotic Manipulator
Sumit Kumar Das, Mohammad Helal Uddin, Dan Popa, Sabur Baidya
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Towards a Discrete Snake-Like Robot Based on SMA-Actuated Tristable Modules for Follow the Leader Control Strategy
Benjamin Calmé, Lennart Rubbert, Yassine Haddab
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Extraneousness-Aware Imitation Learning
Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan, Boyuan Chen, Huazhe Xu
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Flipbot: Learning Continuous Paper Flipping Via Coarse-To-Fine Exteroceptive-Proprioceptive Exploration
Chao Zhao, Chunli Jiang, Junhao Cai, Hongyu Yu, Michael Yu Wang, Qifeng Chen
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DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation with Differentiable Simulation
Sirui Chen, Yunhao Liu, Shang Wen Yao, Jialong LI, Tingxiang Fan, Jia Pan
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Learning Stable Vector Fields on Lie Groups
Julen Urain De Jesus, Davide Tateo, Jan Peters
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Model-Based Pose Estimation of Steerable Catheters under Bi-Plane Image Feedback
Jared Lawson, Rohan Chitale, Nabil Simaan
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Contact Force Control with Continuously Compliant Robotic Legs
Robin Bendfeld, C. David Remy
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Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning
Eric Vollenweider, Marko Bjelonic, Victor Klemm, Nikita Rudin, joonho lee, Marco Hutter
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DNN-Based Predictive Model for a Batoid-Inspired Soft Robot
Guangtong Li, Thileepan Stalin, TRUONG VAN TIEN, Pablo Valdivia y Alvarado
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Learning to View: Decision Transformers for Active Object Detection
Wenhao Ding, Majcherczyk Nathalie, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnab Sen
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Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula
Boling Yang, Liyuan Zheng, Lillian Ratliff, Byron Boots, Joshua R. Smith
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Sim-To-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery
Paul Maria Scheikl, Eleonora Tagliabue, Balazs Gyenes, Martin Wagner, Diego Dall'Alba, Paolo Fiorini, Franziska Mathis-Ullrich
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Deep Reinforcement Learning for Autonomous Driving Using High-Level Heterogeneous Graph Representations
Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
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Emulating Human Kinematic Behavior on Lower-Limb Prostheses Via Multi-Contact Models and Force-Based Nonlinear Control
Rachel Gehlhar, Aaron Ames
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LGCNet: Feature Enhancement and Consistency Learning Based on Local and Global Coherence Network for Correspondence Selection
Tzu-Han Wu, Kuan-Wen Chen
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Learning Neuro-symbolic Programs for Language Guided Robot Manipulation
Namasivayam Kalithasan, Himanshu Gaurav Singh, Vishal Bindal, Arnav Tuli, Vishwajeet Agrawal, Rahul Jain, Parag Singla, Rohan Paul
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Closing the Planning-Learning Loop with Application to Autonomous Driving
Panpan Cai, David Hsu
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DriveIRL: Drive in Real Life with Inverse Reinforcement Learning
Tung Phan-Minh, Forbes Howington, Ting-Sheng Chu, Momchil Tomov, Robert Beaudoin, Sang Uk Lee, Nanxiang Li, Caglayan Dicle, Samuel Findler, Francisco Suárez-Ruiz, Bo Yang, Sammy Omari, Eric Wolff
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Control of Shape Memory Alloy Actuator Via Electrostatic Capacitive Sensor for Meso-Scale Mirror Tilting System
Baekgyeom Kim, Doohoe Lee, Dongjin Kim, Seungyong Han, Daeshik Kang, Uikyum Kim, Je-Sung Koh
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Towards Consistent Batch State Estimation Using a Time-Correlated Measurement Noise Model
David Juny Yoon, Timothy Barfoot
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Demonstration-Guided Optimal Control for Long-Term Non-Prehensile Planar Manipulation
Teng Xue, Hakan Girgin, Teguh Santoso Lembono, Sylvain Calinon
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Multi-Agent Path Integral Control for Interaction-Aware Motion Planning in Urban Canals
Lucas Michael Streichenberg, Elia Trevisan, Jen Jen Chung, Roland Siegwart, Javier Alonso-Mora
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