Overview
- Reports on advances in sensing, modeling and control methods for different robotic platforms
- Highlight the main trends and challenges in robot sensing and control
- Discusses innovative sensing and control methods for robotic systems
Part of the book series: Lecture Notes in Mechanical Engineering (LNME)
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Table of contents (8 papers)
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Front Matter
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Back Matter
Keywords
- State Estimation
- Robotic Manipulator
- Microrobotics
- Modular and Reconfigurable Robot
- Biped Robot
- Motion Capture
- Stability
- Disturbance Observer
- DC Motor System
- Unmanned Aerial Vehicle
- Modeling
- Formation Control
- Cooperative Control
- Untethered Actuation
- State feedback Controller (SFC)
- Linear Quadratic Regulator (LQR)
- Sliding mode Control (SMC)
- Decentralized Control
About this book
This book reports on advances in sensing, modeling and control methods for different robotic platforms such as multi-degree of freedom robotic arms, unmanned aerial vehicles and autonomous mobile platforms. Based on 2018 Symposium on Mechatronics, Robotics, and Control (SMTRC’18), held as part of the 2018 CSME International Congress, in York University, Toronto, Canada, the book covers a variety of topics, from filtering and state estimation to adaptive control of reconfigurable robots and more.
Next-generation systems with advanced control, planning, perception and interaction capabilities will achieve functionalities far beyond today’s technology. Two key challenges remaining for advanced robot technologies are related to sensing and control in robotic systems. Advanced perception is needed to navigate changing environments. Adaptive and intelligent control systems must be developed to enable operation in unstructured and dynamic environments. Theselected chapters in this book focus on both of the aforementioned areas and highlight the main trends and challenges in robot sensing and control. The first part of the book introduces chapters which focus on advanced perception and sensing for robotics applications. They include sensor filtering and state estimation for bipedal robots and motion capture systems analysis. The second part focuses on different modeling and control methods for robotic systems including flight control for UAVs, multi-variable robust control for modular and reconfigurable robotics and control for precision micromanipulation.
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Motion Sensing and Control for Robotic Applications
Book Subtitle: Selected Papers from the Symposium on Mechatronics, Robotics, and Control (SMRC’18)- CSME International Congress 2018, May 27-30, 2018 Toronto, Canada
Editors: Farrokh Janabi-Sharifi, William Melek
Series Title: Lecture Notes in Mechanical Engineering
DOI: https://doi.org/10.1007/978-3-030-17369-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-17368-5Published: 16 June 2019
eBook ISBN: 978-3-030-17369-2Published: 15 June 2019
Series ISSN: 2195-4356
Series E-ISSN: 2195-4364
Edition Number: 1
Number of Pages: XIII, 127
Number of Illustrations: 13 b/w illustrations, 82 illustrations in colour
Topics: Control, Robotics, Mechatronics, Engineering Design, Artificial Intelligence