Informatics in Control, Automation and Robotics - Info and Reading Options
19th International Conference, ICINCO 2022 Lisbon, Portugal, July 14-16, 2022 Revised Selected Papers
By Giuseppina Gini, Henk Nijmeijer, Wolfram Burgard and Dimitar Filev
"Informatics in Control, Automation and Robotics" was published by Springer International Publishing AG in 2023 - Cham, it has 1 pages and the language of the book is English.
“Informatics in Control, Automation and Robotics” Metadata:
- Title: ➤ Informatics in Control, Automation and Robotics
- Authors: Giuseppina GiniHenk NijmeijerWolfram BurgardDimitar Filev
- Language: English
- Number of Pages: 1
- Publisher: ➤ Springer International Publishing AG
- Publish Date: 2023
- Publish Location: Cham
Edition Specifications:
- Weight: 0.260
- Pagination: xiii, 147
Edition Identifiers:
- The Open Library ID: OL50659351M - OL37588935W
- ISBN-13: 9783031483028 - 9783031483035
- All ISBNs: 9783031483028 - 9783031483035
AI-generated Review of “Informatics in Control, Automation and Robotics”:
"Informatics in Control, Automation and Robotics" Description:
Open Data:
Intro -- Preface -- Organization -- Contents -- Improved Robust Neural Network for Sim2Real Gap in System Dynamics for End-to-End Autonomous Driving -- 1 Introduction -- 2 Simple Mathematical Model -- 2.1 System Model Without Controller -- 2.2 P-Controller for Vehicle -- 2.3 Offset to Steering Angle -- 3 Previous Results with PilotNetRLSTM -- 4 PilotNetCLSTM and PilotNetCF -- 4.1 Naming Convention -- 4.2 Discretization of Steering Angles -- 4.3 Neural Network Architecture -- 5 Experimental Setup -- 5.1 Dataset Creation Methods -- 5.2 Dataset Overview -- 5.3 Evaluation Methods -- 6 Experimental Results -- 6.1 Comparing Results for Steering Offset -- 6.2 Comparing Results for Normal Driving Test -- 6.3 Comparing Results for Accuracies on the Validation Dataset -- 7 Discussion and Conclusion -- References -- Optimal Robust Control with Applications for a Reconfigurable Robot -- 1 Introduction -- 2 Kinematics Development -- 3 Optimal Robust Control -- 3.1 Mixed Sensitivity H Control -- 3.2 H Control Design -- 4 Application of Mixed Sensitivity H Control (Simulation and Results) -- 4.1 Application of H Control (Simulation and Results) -- 4.2 Application of -Synthesis Control and DK Iterations (Simulation and Results) -- 4.3 Comparison of H and -Controllers -- 5 Conclusions -- References -- Improving 2D Scanning Radar and 3D Lidar Calibration -- 1 Introduction -- 2 Radar Basics -- 3 Related Works -- 3.1 Target-Based Methods -- 3.2 Target-Less Methods -- 3.3 Speckle Filtering of Radar Signals -- 3.4 Improving Resolution of Radar Signals -- 3.5 Contribution -- 4 Methodology -- 4.1 Assumptions -- 4.2 Synchronization -- 4.3 Motion Correction -- 4.4 Preprocessing -- 4.5 Matching -- 4.6 Optimization -- 5 Experiments -- 5.1 Test Data and Environment -- 5.2 Improved Radar Filtering -- 5.3 Plane Optimization -- 5.4 Validation -- 6 Results
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