Bio-Inspired Locomotion Control of Gecko-Mimic Robot: From Biological Observation to Robot Control
Hongkai Li, Guolang Zhu, Paolo Arena, Min Yu, Zhiwei Yu, Luca Patané
- Year
- 2022
- Citations
- 2
Abstract
By studying animal and human locomotion strategies, mechanisms, patterns, kinematics, and dynamics, bio-inspired locomotion aims to establish a new theory and method of bionic mechanism, motion planning, and stable control, as well as a new concept for developing bio-inspired robots and unmanned systems. Throughout the long history of evolution, animals have shaped robust, complex, and adaptive movements in order to live in difficult environments. Nature provides an endless supply of robot design concepts for many environmental conditions, such as flight [1], swimming [2], and terrestrial movement [3].
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002