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1599 result(s) for “Model Learning for Control” Page 3 of 32
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Curriculum-Based Imitation of Versatile Skills
Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann
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Ultra-Low Power Deep Learning-Based Monocular Relative Localization Onboard Nano-Quadrotors
Stefano Bonato, Stefano Carlo Lambertenghi, Elia Cereda, Alessandro Giusti, Daniele Palossi
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Data-Driven Risk-Sensitive Model Predictive Control for Safe Navigation in Multi-Robot Systems
Atharva Navsalkar, Ashish Hota
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Operating with Inaccurate Models by Integrating Control-Level Discrepancy Information into Planning
Ellis Ratner, Claire Tomlin, Maxim Likhachev
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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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Neuromechanical Model-Based Adaptive Control of Bi-Lateral Ankle Exoskeletons: Biological Joint Torque and Electromyogram Reduction across Walking Conditions
Guillaume Durandau, Wolfgang Franz Rampeltshammer, Herman Van der Kooij, Massimo Sartori
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Sim2Real^2: Actively Building Explicit Physics Model for Precise Articulated Object Manipulation
Liqian Ma, Jiaojiao Meng, Shuntao Liu, Weihang Chen, Jing Xu, Rui Chen
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Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning
Nicolai Dorka, Tim Welschehold, Joschka Boedecker, Wolfram Burgard
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Code As Policies: Language Model Programs for Embodied Control
Jacky Liang, Wenlong Huang, Fei Xia, Peng Xu, Karol Hausman, Brian Ichter, Peter Florence, Andy Zeng
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Design, Control, and Experimental Evaluation of a Novel Robotic Glove System for Patients with Brachial Plexus Injuries
Wenda Xu, Yunfei Guo, Cesar Bravo, Pinhas Ben-Tzvi
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Learning Modular Robot Visual-Motor Locomotion Policies
Julian Whitman, Howie Choset
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FSG-Net: A Deep Learning Model for Semantic Robot Grasping through Few-Shot Learning
Leonardo Barcellona, Alberto Bacchin, Alberto Gottardi, Emanuele Menegatti, Stefano Ghidoni
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Learning Performance Graphs from Demonstrations Via Task-Based Evaluations
Aniruddh Gopinath Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis
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DDK: A Deep Koopman Approach for Longitudinal and Lateral Control of Autonomous Ground Vehicles
Yongqian Xiao, Xinglong Zhang, Xin Xu, Lu Yang, Junxiang Li
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Distributed Data-Driven Predictive Control for Multi-Agent Collaborative Legged Locomotion
Randall Fawcett, Leila Amanzadeh, Jeeseop Kim, Aaron Ames, Kaveh Akbari Hamed
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Model Predictive Optimized Path Integral Strategies
Dylan Asmar, Ransalu Senanayake, Shawn Manuel, Mykel Kochenderfer
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Data-Driven Iterative Optimal Control for Switched Dynamical Systems
Yuqing Chen, Yangzhi Li, David Braun
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Design and Control of a Tunable-Stiffness Coiled-Spring Actuator
Shivangi Misra, Mason Mitchell, Rongqian Chen, Cynthia Sung
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LEARNEST: LEARNing Enhanced Model-based State ESTimation for Robots using Knowledge-based Neural Ordinary Differential Equations
Kong Yao Chee, M. Ani Hsieh
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Stable Contact Guaranteeing Motion/Force Control for an Aerial Manipulator on an Arbitrarily Tilted Surface
Jeonghyun Byun, Byeongjun Kim, Changhyeon Kim, Donggeon David Oh, H. Jin Kim
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An Energy Based Control Architecture for Shared Autonomy
Federico Benzi, Federica Ferraguti, Giuseppe Riggio, Cristian Secchi
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Efficient Recovery Learning using Model Predictive Meta-Reasoning
Shivam Vats, Maxim Likhachev, Oliver Kroemer
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A Unified BEV Model for Joint Learning of 3D Local Features and Overlap Estimation
Lin Li, Wendong Ding, YongKun Wen, Yufei Liang, Yong Liu, Guowei Wan
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Getting Air: Modelling and Control of a Hybrid Pneumatic-Electric Legged Robot
Christopher Mailer, Stacey Leigh Shield, Reuben Govender, Amir Patel
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Contact Surface and Pose Recognition: Utilizing Multipole Magnetic Tactile Sensor with Meta Learning Model
Ziwei Xia, Bin Fang, Fuchun Sun, Huaping Liu, Wei Feng Xu, Ling Fu, yiyong yang
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Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models
Yi Liu, Gaurav Datta, Ellen Novoseller, Daniel Brown
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Multimodal Time Series Learning of Robots Based on Distributed and Integrated Modalities: Verification with a Simulator and Actual Robots
Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata
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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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A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight
Sihao Sun, Angel Romero, Philipp Foehn, Elia Kaufmann, Davide Scaramuzza
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Learning to Forecast Aleatoric and Epistemic Uncertainties Over Long Horizon Trajectories
Aastha Acharya, Rebecca Russell, Nisar Ahmed
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Online Tool Selection with Learned Grasp Prediction Models
Rohanimanesh Khashayar, Jacob Metzger, William Richards, Aviv Tamar
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Credible Online Dynamics Learning for Hybrid UAVs
David Rohr, Nicholas Lawrance, Olov Andersson, Roland Siegwart
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Robust Forecasting for Robotic Control: A Game-Theoretic Approach
Shubhankar Agarwal, David Fridovich-Keil, Sandeep Chinchali
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Weighted Maximum Likelihood for Controller Tuning
Angel Romero, Shreedhar Govil, Gonca Yilmaz, Yunlong Song, Davide Scaramuzza
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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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Sim-To-Real Transfer for Quadrupedal Locomotion Via Terrain Transformer
Hang Lai, Weinan Zhang, Xialin He, Chen Yu, ZHENG TIAN, Yong Yu, Jun Wang
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Hazard Analysis of Collaborative Automation Systems: A Two-Layer Approach Based on Supervisory Control and Simulation
Tom Philip Huck, Yuvaraj Selvaraj, Constantin Cronrath, Christoph Ledermann, Martin Fabian, Bengt Lennartson, Torsten Kroeger
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Efficiently Learning Small Policies for Locomotion and Manipulation
Shashank Hegde, Gaurav Sukhatme
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Tac-VGNN: A Voronoi Graph Neural Network for Pose-Based Tactile Servoing
WEN FAN, Max Yang, Yifan Xing, Nathan Lepora, Dandan Zhang
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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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Causal Inference for De-Biasing Motion Estimation from Robotic Observational Data
Junhong Xu, Kai Yin, Jason M. Gregory, Lantao Liu
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Learning from Demonstrations Via Multi-Level and Multi-Attention Domain-Adaptive Meta-Learning
Ziye Hu, Zhongxue Gan, Wei Li, Weikun Guo, Xiang Gao, Jiwei Zhu
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Time-Inverted Kuramoto Model Meets Lissajous Curves: Multi-Robot Persistent Monitoring and Target Detection
Manuel Boldrer, Lorenzo Lyons, Luigi Palopoli, Daniele Fontanelli, Laura Ferranti
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Learning Arm-Assisted Fall Damage Reduction and Recovery for Legged Mobile Manipulators
YUNTAO MA, Farbod Farshidian, Marco Hutter
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Self-Supervised Learning of Action Affordances As Interaction Modes
Liquan Wang, Nikita Dvornik, Rafael Dubeau, Mayank Mittal, Animesh Garg
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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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Automating Reinforcement Learning with Example-Based Resets
Jigang Kim, J. hyeon Park, Daesol Cho, H. Jin Kim
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TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios
Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou
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Towards Human-Robot Collaboration with Parallel Robots by Kinetostatic Analysis, Impedance Control and Contact Detection
Aran Mohammad, Moritz Schappler, Tobias Ortmaier
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