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1603 result(s) for “Machine Learning for Robot Control” Page 3 of 33
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Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations
Negin Heravi, Ayzaan Wahid, Corey Lynch, Peter Florence, Travis Armstrong, Jonathan Tompson, Pierre Sermanet, Jeannette Bohg, Debidatta Dwibedi
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Force Control for Robust Quadruped Locomotion: A Linear Policy Approach
Aditya Shirwatkar, Vamshi Kumar Kurva, Devaraju Vinoda, Aman Singh, Aditya Varma Sagi, Himanshu Lodha, Bhavya Giri Goswami, Shivam Sood, Ketan Nehete, Shishir Kolathaya
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GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback
Jie Huang, Jiangshan Hao, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Guangliang Li
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Deep Predictive Model Learning with Parametric Bias: Handling Modeling Difficulties and Temporal Model Changes
Kento Kawaharazuka, Kei Okada, Masayuki Inaba
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Design and Development of a Hydrogel-Based Soft Sensor for Multi-Axis Force Control
Yichen Cai, David Hardman, Fumiya Iida, Thomas George Thuruthel
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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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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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Security-Aware Reinforcement Learning under Linear Temporal Logic Specifications
Bohan Cui, Keyi Zhu, Shaoyuan Li, Xiang Yin
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Hybrid Learning of Time-Series Inverse Dynamics Models for Locally Isotropic Robot Motion
Tolga-Can Çallar, Sven Böttger
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Learning Agent-Aware Affordances for Closed-Loop Interaction with Articulated Objects
Giulio Schiavi, Paula Wulkop, Giuseppe Maria Rizzi, Lionel Ott, Roland Siegwart, Jen Jen Chung
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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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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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Monocular Reactive Collision Avoidance for MAV Teleoperation with Deep Reinforcement Learning
Raffaele Brilli, Marco Legittimo, Francesco Crocetti, Mirko Leomanni, Mario Luca Fravolini, Gabriele Costante
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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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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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Online Learning and Suppression of Vibration in Collaborative Robots with Power Tools
Gokhan Solak, Arash Ajoudani
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Learning Video-Conditioned Policies for Unseen Manipulation Tasks
Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev
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Training Efficient Controllers Via Analytic Policy Gradient
Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza
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Closing the Planning-Learning Loop with Application to Autonomous Driving
Panpan Cai, David Hsu
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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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Learnable Tegotae-Based Feedback in CPGs with Sparse Observation Produces Efficient and Adaptive Locomotion
Christopher Herneth, Mitsuhiro Hayashibe, Dai Owaki
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Automating Reinforcement Learning with Example-Based Resets
Jigang Kim, J. hyeon Park, Daesol Cho, H. Jin Kim
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A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-Based In-Hand Manipulation
Lingfeng Tao, Jiucai Zhang, Michael Bowman, Xiaoli Zhang
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Dealing with Sparse Rewards in Continuous Control Robotics Via Heavy-Tailed Policy Optimization
SOURADIP CHAKRABORTY, Amrit Singh Bedi, Kasun Weerakoon Kulathun Mudiyanselage, Prithvi Poddar, Alec Koppel, Pratap Tokekar, Dinesh Manocha
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Learning Deposition Policies for Fused Multi-Material 3D Printing
Kang Liao, Thibault Tricard, Michal Piovarci, Hans-Peter Seidel, Vahid Babaei
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Safe Model-Based Control from Signal Temporal Logic Specifications Using Recurrent Neural Networks
Wenliang Liu, Mirai Duintjer Tebbens Nishioka, Calin Belta
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Sim-To-Real Policy and Reward Transfer with Adaptive Forward Dynamics Model
Rongshun Juan, Hao Ju, Jie Huang, Randy Gomez, Keisuke Nakamura, Guangliang Li
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Extraneousness-Aware Imitation Learning
Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan, Boyuan Chen, Huazhe Xu
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Design Optimization and Data-driven Shallow Learning for Dynamic Modeling of a Smart Segmented Electroadhesive Clutch
Navid Feizi, Zahra Bahrami, S. Farokh Atashzar, Mehrdad R. Kermani, Rajnikant V. Patel
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Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots
John Irvin Alora, Mattia Cenedese, Edward Schmerling, George Haller, Marco Pavone
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Parameter Estimation and Control of Multirotors
Cheng-Cheng Yang, Teng-Hu Cheng
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Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation
Laura Zheng, Sanghyun Son, Ming C. Lin
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Neural Optimal Control Using Learned System Dynamics
Kazim Selim Engin, Volkan Isler
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Multi-Target Pursuit by a Decentralized Heterogeneous UAV Swarm Using Deep Multi-Agent Reinforcement Learning
Maryam Kouzehgar, Youngbin Song, Malika Meghjani, Roland Bouffanais
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Learning to Influence Vehicles' Routing in Mixed-Autonomy Networks by Dynamically Controlling the Headway of Autonomous Cars
Xiaoyu Ma, Negar Mehr
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Efficiently Learning Small Policies for Locomotion and Manipulation
Shashank Hegde, Gaurav Sukhatme
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Implementation and Optimization of Grasping Learning with Dual-Modal Soft Gripper
lei zhao, Haoyue Liu, Feihan Li, X.Y. Ding, Yuhao Sun, Fuchun Sun, Jianhua Shan, Qi Ye, Lincheng Li, Bin Fang
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Infrastructure-Based End-To-End Learning and Prevention of Driver Failure
Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin Hasani, Sertac Karaman, Daniela Rus
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Learning Risk-Aware Costmaps Via Inverse Reinforcement Learning for Off-Road Navigation
Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian Scherer
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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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Meta-Reinforcement Learning Via Language Instructions
Zhenshan Bing, Alexander Koch, Xiangtong Yao, Kai Huang, Alois Knoll
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OPT-Mimic: Imitation of Optimized Trajectories for Dynamic Quadruped Behaviors
Yuni Fuchioka, Zhaoming Xie, Michiel van de Panne
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Off-policy Imitation Learning from Visual Inputs
Zhihao Cheng, Li Shen, Dacheng TAO
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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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A Bioinspired Synthetic Nervous System Controller for Pick-and-Place Manipulation
Yanjun Li, Ravesh Sukhnandan, Jeffrey Gill, Hillel Chiel, Victoria Webster-Wood, Roger, D. Quinn
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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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Deep Learning-Aided Synthetic Airspeed Estimation of UAVs for Analytical Redundancy with a Temporal Convolutional Network
HYUNGTAE LIM, Han-seok Ryu, Matthew Rhudy, Dongjin Lee, Dongjin Jang, Changho LEE, Youngmin Park, Wonkeun Youn, Hyun Myung
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A New Robust Control Framework for Robot Manipulators without Velocity Measurements: A Modified Dual-Loop Control Scheme
Hae Yeon Park, Jung Hoon Kim
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