ICRA 2023

1655 papers · 0 AI summaries · 2023

AI summary only

1603 result(s) for “Machine Learning for Robot Control” Page 2 of 33

	Title & Authors	Actions
	Learning Stabilization Control from Observations by Learning Lyapunov-Like Proxy Models Milan Ganai, Chiaki Hirayama, Ya-Chien Chang, Sicun Gao	View PDF
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	Start State Selection for Control Policy Learning from Optimal Trajectories Christoph Zelch, Jan Peters, Oskar von Stryk	View PDF
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	Show Me What You Want: Inverse Reinforcement Learning to Automatically Design Robot Swarms by Demonstration Ilyes Gharbi, Jonas Kuckling, David Garzón Ramos, Mauro Birattari	View PDF
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	LEMURS: Learning Distributed Multi-Robot Interactions Eduardo Sebastián, Thai Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagues	View PDF
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	Distributionally Robust Optimization with Unscented Transform for Learning-Based Motion Control in Dynamic Environments Astghik Hakobyan, Insoon Yang	View PDF
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	Learning Personalised Human Sit-To-Stand Motion Strategies Via Inverse Musculoskeletal Optimal Control Daniel F. N. Gordon, Andreas Christou, Theodoros Stouraitis, Michael Gienger, Sethu Vijayakumar	View PDF
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	Generalization of Impact Response Factors for Proprioceptive Collaborative Robots Carlos Relaño, Daniel Sanz-Merodio, Miguel López Estévez, Concepción A. Monje	View PDF
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	Learning State Conditioned Linear Mappings for Low-Dimensional Control of Robotic Manipulators Michael Przystupa, Kerrick Johnstonbaugh, Zichen Zhang, Laura Petrich, Masood Dehghan, Faezeh Haghverd, Martin Jagersand	View PDF
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	Improving the Performance of Local Bundle Adjustment for Visual-Inertial SLAM with Efficient Use of GPU Resources Shishir Gopinath, Karthik Dantu, Steve Ko	View PDF
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	Learning Agile Flight Maneuvers: Deep SE(3) Motion Planning and Control for Quadrotors Yixiao Wang, Bingheng Wang, Shenning Zhang, Han Wei Sia, Lin Zhao	View PDF
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	Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control Murad Elnagdi, Nils Dengler, Jorge de Heuvel, Maren Bennewitz	View PDF
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	Seq2Seq Imitation Learning for Tactile Feedback-Based Manipulation Wenyan Yang, Alexandre Angleraud, Roel S. Pieters, Joni Pajarinen, Joni-Kristian Kamarainen	View PDF
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	Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving Ryan Cosner, Yuxiao Chen, Karen Leung, Marco Pavone	View PDF
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	Versatile Skill Control Via Self-Supervised Adversarial Imitation of Unlabeled Mixed Motions Chenhao Li, Sebastian Blaes, Pavel Kolev, Marin Vlastelica, Jonas Frey, Georg Martius	View PDF
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	Model Learning with Backlash Compensation for a Tendon-Driven Surgical Robot Francesco Cursi, Weibang Bai, Eric Yeatman, Petar Kormushev	View PDF
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	Scalable Task-Driven Robotic Swarm Control Via Collision Avoidance and Learning Mean-Field Control Kai Cui, Mengguang Li, Christian Fabian, Heinz Koeppl	View PDF
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	Reinforcement Learning for Laser Welding Speed Control Minimizing Bead Width Error Toshimitsu Kaneko, Gaku Minamoto, Yusuke Hirose, Tetsuo Sakai	View PDF
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	Toward Fine Contact Interactions: Learning to Control Normal Contact Force with Limited Information Jinda Cui, Jiawei Xu, David Saldaña, Jeff Trinkle	View PDF
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	Strained Elastic Surfaces with Adjustable-Modulus Edges (SESAMEs) for Soft Robotic Actuation Christopher Kimmer, Michael Seokyoung Han, Cindy Harnett	View PDF
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	Variable Admittance Interaction Control of UAVs Via Deep Reinforcement Learning Yuting Feng, Chuanbeibei Shi, Jianrui Du, Yushu Yu, Fuchun Sun, Yixu Song	View PDF
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	Control of Rough Terrain Vehicles Using Deep Reinforcement Learning Viktor Wiberg, Erik Wallin, Tomas Nordfjell, Martin Servin	View PDF
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	Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control Jiayu Chen, Tian Lan, Vaneet Aggarwal	View PDF
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	Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems Alexander Ororbia, Ankur Mali	View PDF
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	Reinforcement Learning Control of a Reconfigurable Planar Cable Driven Parallel Manipulator Adhiti Raman Thothathri, Ameya Salvi, Matthias Schmid, Venkat Krovi	View PDF
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	Experimental Validation of Functional Iterative Learning Control on a One-Link Flexible Arm Sjoerd Drost, Pietro Pustina, Franco Angelini, Alessandro De Luca, Gerwin Smit, Cosimo Della Santina	View PDF
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	Improving the Robustness of Reinforcement Learning Policies with L1 Adaptive Control Yikun Cheng, Pan Zhao, Fanxin Wang, Daniel Block, NAIRA HOVAKIMYAN	View PDF
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	Event-Triggered Optimal Formation Tracking Control Using Reinforcement Learning for Large-Scale UAV Systems Ziwei Yan, Liang Han, Xiaoduo Li, Jinjie Li, Zhang Ren	View PDF
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	Learning Modular Robot Visual-Motor Locomotion Policies Julian Whitman, Howie Choset	View PDF
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	Sim-To-Real: Learning Energy-Efficient Slithering Gaits for a Snake-Like Robot Zhenshan Bing, Long Cheng, Kai Huang, Alois Knoll	View PDF
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	Biomimetic Force and Impedance Adaptation Based on Broad Learning System in Stable and Unstable Tasks Zhenyu Lu, Ning Wang	View PDF
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	Learning to Play Table Tennis from Scratch Using Muscular Robots Büchler, Dieter,Guist, Simon,Calandra, Roberto,Berenz, Vincent,Schölkopf, Bernhard,Peters, Jan	View PDF
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	Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation Kai Lu, Bo Yang, Bing Wang, Andrew Markham	View PDF
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	Autonomous Drone Racing: Time-Optimal Spatial Iterative Learning Control within a Virtual Tube Shuli Lv, Yan Gao, jiaxing Che, Quan Quan	View PDF
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	Reinforcement Learning with Probabilistically Safe Control Barrier Functions for Ramp Merging Soumith Udatha, Yiwei Lyu, John M. Dolan	View PDF
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	Deep Reinforcement Learning Based Tracking Control of an Autonomous Surface Vessel in Natural Waters Wei Wang, Xiaojing Cao, Alejandro Gonzalez-Garcia, Lianhao Yin, Niklas Hagemann, Yuanyuan Qiao, Carlo Ratti, Daniela Rus	View PDF
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	Efficient Bimanual Handover and Rearrangement Via Symmetry-Aware Actor-Critic Learning Yunfei Li, Chaoyi Pan, Huazhe Xu, Xiaolong Wang, Yi Wu	View PDF
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	Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation Sridhar Pandian Arunachalam, Sneha Silwal, Ben Evans, Lerrel Pinto	View PDF
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	Sample Efficient Dynamics Learning for Symmetrical Legged Robots: Leveraging Physics Invariance and Geometric Symmetries Jee-eun Lee, Jaemin Lee, Tirthankar Bandyopadhyay, Luis Sentis	View PDF
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	User-Conditioned Neural Control Policies for Mobile Robotics Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza	View PDF
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	Learning Performance Graphs from Demonstrations Via Task-Based Evaluations Aniruddh Gopinath Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis	View PDF
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	Learning Perception-Aware Agile Flight in Cluttered Environments Yunlong Song, Kexin Shi, Robert Penicka, Davide Scaramuzza	View PDF
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	Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning Nicolai Dorka, Tim Welschehold, Joschka Boedecker, Wolfram Burgard	View PDF
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	Comparison of Model-Based and Model-Free Reinforcement Learning for Real-World Dexterous Robotic Manipulation Tasks David Patricio Valencia Redrovan, John Jia, Raymond Li, Alex Hayashi, Megan Lecchi, Reuel Terezakis, Trevor Gee, Minas Liarokapis, Bruce MacDonald, Henry Williams	View PDF
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	Multi-Embodiment Legged Robot Control As a Sequence Modeling Problem Chen Yu, Weinan Zhang, Hang Lai, ZHENG TIAN, Laurent Kneip, Jun Wang	View PDF
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	Meta Reinforcement Learning for Optimal Design of Legged Robots Alvaro Belmonte-Baeza, joonho lee, Giorgio Valsecchi, Marco Hutter	View PDF
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	Direct and Inverse Modeling of Soft Robots by Learning a Condensed FEM Model Etienne Ménager, Tanguy Navez, Olivier Goury, Christian Duriez	View PDF
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	On the Learned Balance Manifold of Underactuated Balance Robots Feng Han, Jingang Yi	View PDF
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	Puppeteer and Marionette: Learning Anticipatory Quadrupedal Locomotion Based on Interactions of a Central Pattern Generator and Supraspinal Drive Milad Shafiee, Guillaume Bellegarda, Auke Ijspeert	View PDF
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	Learning Arm-Assisted Fall Damage Reduction and Recovery for Legged Mobile Manipulators YUNTAO MA, Farbod Farshidian, Marco Hutter	View PDF
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	Multi-Alpha Soft Actor-Critic: Overcoming Stochastic Biases in Maximum Entropy Reinforcement Learning Conor Igoe, Swapnil Pande, Siddarth Venkatraman, Jeff Schneider	View PDF
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