Adaptive behavior of evolutionary neurocontroller for obstacle avoidance mobile robot
This research aims to analyze the adaptive behavior of an artificial neural network-based controller (neurocontroller) for an obstacle avoidance wheeled mobile robot. The neurocontroller of interest is the best of an ecosystem of neurocontrollers that evolved according to the genetic algorithm. The...
Main Authors: | Gani, Aloysius Aldo, Tan, Sofyan, Meiliayana |
---|---|
Other Authors: | School of Computer Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/106630 http://hdl.handle.net/10220/25058 http://www.internetworkingindonesia.org/Issues/Vol5-No1-B-2013/iij-vol5-no1-b-2013.html |
Similar Items
-
Obstacle avoidance mobile robot
by: Abdul Ghani, Khairul A'Alam
Published: (2007) -
Obstacle avoidance for a mobile rehabilitation robot
by: Chin, Kendrick Hong Xing
Published: (2018) -
Dynamic obstacle detection and avoidance for mobile robots
by: Radhika Ramachandran
Published: (2014) -
Pareto Ensembles for evolutionary Synthesis of Neurocontrollers in a 2D Maze-based video game
by: Tse, Guan Tan, et al.
Published: (2013) -
Neurocontrol of a cantilever beam
by: Aplincourt, Nicolas, 1977-
Published: (2013)