Walking, Running and Kicking of Humanoid Robots and Humans
M. Stelzer () and
O. von Stryk ()
Additional contact information
M. Stelzer: Technische Universität Darmstadt, Simulation, Systems Optimization and Robotics Group, Department of Computer Science
O. von Stryk: Technische Universität Darmstadt, Simulation, Systems Optimization and Robotics Group, Department of Computer Science
A chapter in From Nano to Space, 2008, pp 175-192 from Springer
Abstract:
Abstract In this paper key aspects and several methods for modeling, simulation, optimization and control of the locomotion of humanoid robots and humans are discussed. Similarities and differences between walking and running of humanoid robots and humans are outlined. They represent several, different steps towards the ultimate goals of understanding and predicting human motion by validated simulation models and of developing humanoid robots with human like performance in walking and running. Numerical and experimental results are presented for model-based optimal control as well as for hardware-in-the-loop optimization of humanoid robot walking and for forward dynamics simulation and optimization of a human kicking motion.
Keywords: Optimal Control Problem; Joint Angle; Humanoid Robot; Bipedal Robot; Bipedal Walking (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-74238-8_14
Ordering information: This item can be ordered from
http://www.springer.com/9783540742388
DOI: 10.1007/978-3-540-74238-8_14
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().