A Review of Computational Model for Bipedal Robot Walking Using Gait Analysis
Manoj Kumar, Pratiksha Gautam, Vijay Bhaskar Semwal
- Year
- 2020
- Citations
- 6
Abstract
During last few years, development of bipedal robot has been increased in very rapid way. In this paper, we have tried to explain different Computational models from engineering viewpoints which helps us to understand Human Gait and the same is applied to bipedal robots for effective and fast, energy efficient walking. This involves from very basic models to large scale computational models for bipedal walking much like human being and tendency to regain original state if some external force is applied. This paper explains the historical journey of bipedal robots that can walk almost similar to human being. Paper further explores the possible research areas in bipedal robots walking and ways to balance bipedal robot against external forces like push recovery. Gait is used in Human recognitions, biometrics and to develop prosthetic limbs for physically disabled persons.
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