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Biologically Inspired Series-Parallel Hybrid Robots
Design, Analysis, and Control
- 1st Edition - December 13, 2024
- Authors: Shivesh Kumar, Andreas Mueller, Frank Kirchner
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 8 8 4 8 2 - 2
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 8 8 4 8 3 - 9
Biologically Inspired Series-Parallel Hybrid Robots: Design, Analysis and Control provides an extensive review of the state-of-the-art in series-parallel hybrid robots, covering… Read more
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Request a sales quoteBiologically Inspired Series-Parallel Hybrid Robots: Design, Analysis and Control provides an extensive review of the state-of-the-art in series-parallel hybrid robots, covering all aspects of their mechatronic system design, modelling, and control. This book highlights the modular and distributed aspects of their mechanical, electronics, and software design, introducing various modern methods for modelling the kinematics and dynamics of complex robots. These methods are also introduced in the form of algorithms or pseudo-code which can be easily programmed with modern programming languages. Presenting case studies on various popular series-parallel hybrid robots which will inspire new robot developers, this book will be especially useful for academic and industrial researchers in this exciting field, as well as graduate-level students to bring them closer to the latest technology in mechanical design and control aspects of the area.
- Introduces clear definitions for all relevant terms and the foundational theories
- Provides in-depth kinematics of various parallel mechanisms typically used in the design of series-parallel hybrid robots
- Presents holistic methods for solving kinematics, dynamics, trajectory generation, and control of series-parallel hybrid robots considering large number of holonomic constraints
- Investigates case studies on the mechatronic system design of various series-parallel hybrid robots for practitioners in the field
Researchers and Academia in Biomedical Engineering, Robotics, Mechanical Engineering, Electrical Engineering, Computer Science Graduate students in Biomedical Engineering, Robotics, Mechanical Engineering, Electrical Engineering, Computer Science
Preface
Part 1: Introduction to Biologically Inspired Hybrid Robots
1. Motivation
2. Modular and Decentralized Design Principles
Part 2: Geometric Analysis
3. Modern methods in Geometric Analysis (4 bar mechanism, slider crank)
4. 2-DOF Orientational Parallel Mechanisms
5. 3 DOF Orientational Parallel Mechanism
Part 3: Kinematics, Dynamics and Control
6. Kinematics and Dynamics of Tree-Type systems
7. Modular Algorithms for Kinematics and Dynamics of series-parallel hybrid robots
8. Forward Dynamics with Constraint Embedding for Dynamic Simulation
9. Whole Body Control
10. Whole Body Trajectory Optimization
Part 4: Mechatronic System Design of Some Hybrid Robots
11. Hominid robot Charlie
12. Multi-legged robot Mantis
13. Sherpa, a Family of Wheeled-Leg Rovers
14. Recupera-Reha Exoskeleton
15. RH5 Pedes Humanoid
16. Autonomous Rough Terrain Excavator Robot (ARTER)
Part 5: Software and Outlook
17. Phobos: Creation and Maintenance of Complex Robot Models
18. HyRoDyn: Hybrid Robot Dynamics
19. Design of a flexible bio-inspired robot for inspection of pipelines
20. Design optimisation of parallel submechanism modules
Part 1: Introduction to Biologically Inspired Hybrid Robots
1. Motivation
2. Modular and Decentralized Design Principles
Part 2: Geometric Analysis
3. Modern methods in Geometric Analysis (4 bar mechanism, slider crank)
4. 2-DOF Orientational Parallel Mechanisms
5. 3 DOF Orientational Parallel Mechanism
Part 3: Kinematics, Dynamics and Control
6. Kinematics and Dynamics of Tree-Type systems
7. Modular Algorithms for Kinematics and Dynamics of series-parallel hybrid robots
8. Forward Dynamics with Constraint Embedding for Dynamic Simulation
9. Whole Body Control
10. Whole Body Trajectory Optimization
Part 4: Mechatronic System Design of Some Hybrid Robots
11. Hominid robot Charlie
12. Multi-legged robot Mantis
13. Sherpa, a Family of Wheeled-Leg Rovers
14. Recupera-Reha Exoskeleton
15. RH5 Pedes Humanoid
16. Autonomous Rough Terrain Excavator Robot (ARTER)
Part 5: Software and Outlook
17. Phobos: Creation and Maintenance of Complex Robot Models
18. HyRoDyn: Hybrid Robot Dynamics
19. Design of a flexible bio-inspired robot for inspection of pipelines
20. Design optimisation of parallel submechanism modules
- No. of pages: 512
- Language: English
- Edition: 1
- Published: December 13, 2024
- Imprint: Academic Press
- Paperback ISBN: 9780323884822
- eBook ISBN: 9780323884839
SK
Shivesh Kumar
Shivesh Kumar is an assistant professor at the Division of Dynamics, Department of Mechanics and Maritime Sciences, Chalmers University of Technology in Gothenburg, Sweden. He is also a visiting researcher at the Robotics Innovation Center, German Research Center for Artificial Intelligence in Bremen, Germany. He obtained his PhD degree from the faculty of Mathematics and Computer Science at the University of Bremen (2019). His research interests include kinematics, dynamics, and control of robots with applications in the fields of exoskeletons, humanoids, rehabilitation, and industrial automation.
Affiliations and expertise
Researcher and Team leader, Mechanics and Control team, Robotics Innovation Center, German Research Center for Artificial Intelligence (DFKI GmbH), Bremen, GermanyAM
Andreas Mueller
Andreas Mueller obtained diploma degrees in mathematics, electrical engineering, and mechanical engineering, and a PhD in mechanics. He received his Habilitation in mechanics and is currently professor and director of the Institute of Robotics at the Johannes Kepler University, Linz, Austria. His current research interests include holistic modelling, model-based and optimal control of mechatronic systems, redundant robotic systems, parallel kinematic machines, biomechanics, and computational dynamics.
Affiliations and expertise
Professor, Robotics, Johannes Kepler University, Linz, AustriaFK
Frank Kirchner
Frank Kirchner studied computer science and neurobiology at the University Bonn, where he received his PhD degree in computer science. He was senior scientist at the Gesellschaft für Mathematik und Datenverarbeitung (GMD) in Sankt Augustin, Germany, and a Senior Scientist at the Department for Electrical Engineering at Northeastern University in Boston, USA. Dr. Kirchner was first appointed adjunct and then tenure track assistant professor at the Northeastern University, and then as a full professor at the University of Bremen. Since December 2005, Dr. Kirchner has also been director of the Robotics Innovation Centre (RIC) in Bremen.
Affiliations and expertise
Professor, University of Bremen; Director, Robotics Innovation Center (RIC), Bremen, Germany