Advances in Motion Sensing and Control for Robotic Applications

Selected Papers from the Symposium on Mechatronics, Robotics, and Control (SMRC’18)- CSME International Congress 2018, May 27-30, 2018 Toronto, Canada

  • Farrokh Janabi-Sharifi
  • William Melek
Conference proceedings

Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Joshua S. Furtado, Hugh H. T. Liu, Gilbert Lai, Herve Lacheray, Jason Desouza-Coelho
    Pages 15-31
  3. Mojtaba Hedayatpour, Mehran Mehrandezh, Farrokh Janabi-Sharifi
    Pages 45-60
  4. Mikail S. Arani, Hamid Ebrahimi Orimi, Wen-Fang Xie, Henry Hong
    Pages 93-107
  5. Gokhan Gungor, Baris Fidan, William W. Melek
    Pages 109-125
  6. Back Matter
    Pages 127-127

About these proceedings


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. The selected 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.


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

Editors and affiliations

  • Farrokh Janabi-Sharifi
    • 1
  • William Melek
    • 2
  1. 1.Department of Mechanical and Industrial EngineeringRyerson UniversityTorontoCanada
  2. 2.Department of Mechatronics and Mechanical EngineeringUniversity of WaterlooWaterlooCanada

Bibliographic information

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