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1603 result(s) for “Machine Learning for Robot Control” Page 5 of 33
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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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Operating with Inaccurate Models by Integrating Control-Level Discrepancy Information into Planning
Ellis Ratner, Claire Tomlin, Maxim Likhachev
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Data-Driven Iterative Optimal Control for Switched Dynamical Systems
Yuqing Chen, Yangzhi Li, David Braun
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Learning Augmented, Multi-Robot Long-Horizon Navigation in Partially Mapped Environments
Abhish Khanal, Gregory Stein
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Curvature-Aware Model Predictive Contouring Control
Lorenzo Lyons, Laura Ferranti
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Safe Control using Vision-based Control Barrier Function (V-CBF)
Hossein Abdi, Golnaz Raja, Reza Ghabcheloo
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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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Robust Forecasting for Robotic Control: A Game-Theoretic Approach
Shubhankar Agarwal, David Fridovich-Keil, Sandeep Chinchali
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Safety under Uncertainty: Tight Bounds with Risk-Aware Control Barrier Functions
Mitchell Black, Georgios Fainekos, Bardh Hoxha, Danil Prokhorov, Dimitra Panagou
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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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Agile and Versatile Robot Locomotion Via Kernel-Based Residual Learning
Milo Carroll, Zhaocheng Liu, Mohammadreza Kasaei, Zhibin Li
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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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Causal Inference for De-Biasing Motion Estimation from Robotic Observational Data
Junhong Xu, Kai Yin, Jason M. Gregory, Lantao Liu
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DQN-Based On-Line Path Planning Method for Automatic Navigation of Miniature Robots
Jialin JIANG, Lidong Yang, Li Zhang
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High-Performance Six-DOF Flight Control of the Bee++: An Inclined-Stroke-Plane Approach
Ryan Bena, Xiufeng Yang, Ariel, A Calderon, Nestor O Perez-Arancibia
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A negative imaginary theory-based time-varying group formation tracking scheme for multi-robot systems: Applications to quadcopters
Yu-Hsiang Su, Parijat Bhowmick, Alexander Lanzon
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Distributed Model Predictive Formation Control with Gait Synchronization for Multiple Quadruped Robots
Shaohang Xu, Wentao Zhang, Lijun Zhu, Chin Pang Ho
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Learning and Blending Robot Hugging Behaviors in Time and Space
Drolet Michael, Joseph Campbell, Heni Ben Amor
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Multi-Modal Learning and Relaxation of Physical Conflict for an Exoskeleton Robot with Proprioceptive Perception
Xuan Zhang, Yana Shu, Yu Chen, Gong Chen, jing ye, Xiang LI
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Torque Control with Joints Position and Velocity Limits Avoidance
Venus Pasandi, Daniele Pucci
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Real-Time Model Predictive Control for Industrial Manipulators with Singularity-Tolerant Hierarchical Task Control
Jaemin Lee, Mingyo Seo, Andrew Bylard, Zhouwen Sun, Luis Sentis
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Augmented Reality-Assisted Robot Learning Framework for Minimally Invasive Surgery Task
Junling Fu, Maria Chiara Palumbo, Elisa Iovene, Qingsheng liu, Ilaria Burzo, Alberto Redaelli, Giancarlo Ferrigno, Elena De Momi
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Tactile-Driven Gentle Grasping for Human-Robot Collaborative Tasks
Christopher Ford, Haoran Li, John Lloyd, Manuel Giuseppe Catalano, Matteo Bianchi, Efi Psomopoulou, Nathan Lepora
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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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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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Deep Reinforcement Learning for Decentralized Multi-Robot Exploration with Macro Actions
Aaron Hao Tan, Federico Pizarro Bejarano, Yuhan Zhu, Richard Ren, Goldie Nejat
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Risk-Aware Model Predictive Path Integral Control Using Conditional Value-At-Risk
Ji Yin, Zhiyuan Zhang, Panagiotis Tsiotras
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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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Socially Fair Coverage Control
Matthew Malencia, George J. Pappas, Vijay Kumar
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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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Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways
Jin Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, Peter Stone
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Train Offline, Test Online: A Real Robot Learning Benchmark
Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Beltran Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn, Abhinav Gupta
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Exploiting Intrinsic Kinematic Null Space for Supernumerary Robotic Limbs Control
Tommaso Lisini Baldi, Nicole D'Aurizio, Sergio Gurgone, Daniele Borzelli, Andrea d'Avella, Domenico Prattichizzo
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An Active Learning Based Robot Kinematic Calibration Framework Using Gaussian Processes
Ersin Das, Joel Burdick
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RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments
Aakriti Agrawal, Amrit Singh Bedi, Dinesh Manocha
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Enforcing Safety for Vision-Based Controllers Via Control Barrier Functions and Neural Radiance Fields
Mukun Tong, Charles Dawson, Chuchu Fan
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Efficient Planning of Multi-Robot Collective Transport Using Graph Reinforcement Learning with Higher Order Topological Abstraction
Steve Paul, Wenyuan Li, Brian Smyth, Yuzhou Chen, Yulia Gel, Souma Chowdhury
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Safety and Efficiency in Robotics: The Control Barrier Functions Approach
Federica Ferraguti, Chiara Talignani Landi, Andrew Singletary, Hsien-Chung Lin, Aaron Ames, Cristian Secchi, Marcello Bonfe
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Object Detection Using Sim2Real Domain Randomization for Robotic Applications
Horváth, Dániel,Erdos, Gábor,Istenes, Zoltán,Horvath, Tomas,Földi, Sándor
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FloorplanNet: Learning Topometric Floorplan Matching for Robot Localization
Delin Feng, Zhenpeng He, Jiawei Hou, Sören Schwertfeger, Liangjun Zhang
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Safeguarding Learning-Based Planners under Motion and Sensing Uncertainties Using Reachability Analysis
Akshay Shetty, Adam Dai, Alexandros Tzikas, Grace Gao
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Energy Aware Impedance Control of a Flying End-Effector in the Port-Hamiltonian Framework
Ramy Rashad, Davide Bicego, Jelle Zult, Santiago Sanchez-Escalonilla, Ran Jiao, Antonio Franchi, Stefano Stramigioli
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Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
Tao Huang, Kai Chen, Bin LI, Yunhui Liu, Qi Dou
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Interaction Control of a Robotic Manipulator with the Surface of Deformable Object
Athanasios Dometios, Costas S. Tzafestas
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Design and Voluntary Control of Variable Stiffness Exoskeleton Based on sEMG Driven Model
Yanghui Zhu, Qingcong Wu, Bai Chen, Ziyue Zhao
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Haptic-Based and SE(3)-Aware Object Insertion Using Compliant Hands
Osher Azulay, Maxim Monastirsky, Avishai Sintov
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SoLo T-DIRL: Socially-Aware Dynamic Local Planner Based on Trajectory-Ranked Deep Inverse Reinforcement Learning
Yifan Xu, Theodor Chakhachiro, Tribhi Kathuria, Maani Ghaffari
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Toward Zero-Shot Sim-To-Real Transfer Learning for Pneumatic Soft Robot 3D Proprioception Sensing
Uksang Yoo, Hanwen Zhao, Alvaro Altamirano, Wenzhen Yuan, Chen Feng
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Real World Offline Reinforcement Learning with Realistic Data Source
Gaoyue Zhou, Liyiming Ke, Siddhartha Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar
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It Takes Two: Learning to Plan for Human-Robot Cooperative Carrying
Eley Ng, Ziang Liu, Monroe Kennedy
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