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Gaussian process-based nonlinear predictive control for visual servoing of constrained mobile robots with unknown dynamics

https://doi.org/10.1016/j.robot.2020.103712

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Predictive control for visual servoing control of cyber physical systems with packet loss

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Risk-Sensitive Model Predictive Control with Gaussian Process Models**This research was supported by EU Framework Programme 7, project 314544, RECONFIGURE: Reconfiguration of Control in Flight for Integral Global Upset Recovery, the Cambridge Overseas Trust, and by the China Scholarship Council.

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Path Tracking for a Skid-steer Vehicle using Model Predictive Control with On-line Sparse Gaussian Process

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Non‐linear model predictive control for visual servoing systems incorporating iterative linear quadratic Gaussian

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The 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent

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2015 International Conference on Control, Automation and Robotics

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2011 IEEE International Conference on Information and Automation

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2013 IEEE International Conference on Robotics and Automation

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A robust self triggered Image Based Visual Servoing Model Predictive Control scheme for small autonomous robots

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2012 IEEE/RSJ International Conference on Intelligent Robots and Systems

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2014 IEEE/RSJ International Conference on Intelligent Robots and Systems

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Visual servo control. I. Basic approaches

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Using model knowledge for learning inverse dynamics

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Image-based Visual Servoing using Sliding mode control

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Image-Based Position Control of Mobile Robots With a Completely Unknown Fixed Camera

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Vision-Based Model Predictive Control for Steering of a Nonholonomic Mobile Robot

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Hierarchical Model Predictive Image-Based Visual Servoing of Underwater Vehicles With Adaptive Neural Network Dynamic Control

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Dynamic Image-Based Visual Servoing of Monocular Camera Mounted Omnidirectional Mobile Robots Considering Actuators and Target Motion via Fuzzy Integral Sliding Mode Control

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Novel Position-Based Visual Servoing Approach to Robust Global Stability Under Field-of-View Constraint

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Robust On-Line Model Predictive Control for a Constrained Image Based Visual Servoing

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Moving Horizon Estimation for Mobile Robots With Multirate Sampling

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2011 IEEE International Conference on Robotics and Automation

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NONLINEAR ADAPTIVE CONTROL USING NONPARAMETRIC GAUSSIAN PROCESS PRIOR MODELS

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Gaussian Processes for Machine Learning

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Gaussian process-based cautious model predictive control for visual servoing of mobile robots

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Experimental study on autonomous docking and hook-locking control for unmanned surface vehicle platforms

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High-precision model predictive control and experiment of an unmanned surface vehicle with Gaussian process-based error model

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Fast Terminal Sliding Mode Control Based on Finite-Time Observer and Improved Reaching Law for Aerial Robots

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Predictive Course Control and Guidance of Autonomous Unmanned Sailboat Based on Efficient Sampled Gaussian Process

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Data-Driven Model Predictive Control for Uncalibrated Visual Servoing

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Model predictive control for constrained robot manipulator visual servoing tuned by reinforcement learning

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