Force controlled hexapod walking


Autoria(s): De Silva, Shalutha
Data(s)

2014

Resumo

This thesis is a study on controlling methods for six-legged robots. The study is based on mathematical modeling and simulation. A new joint controller is proposed and tested in simulation that uses joint angles and leg reaction force as inputs to generate a torque, and a method to optimise this controller is formulated and validated. Simulation shows that hexapod can walk on flat ground based on PID controllers with just four target configurations and a set of leg coordination rules, which provided the basis for the design of the new controller.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/78978/

Publicador

Queensland University of Technology

Relação

http://eprints.qut.edu.au/78978/1/Karunakalage_De%20Silva_Thesis.pdf

De Silva, Shalutha (2014) Force controlled hexapod walking. PhD thesis, Queensland University of Technology.

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #Hexapod walking #PID controller based walking #Robot walking #Machine walking #Force sensors #Evolutionary algorithms #Neural network based walking #Local Cluster Neural Networks (LCNN) #Artificial neural networks #Function approximation
Tipo

Thesis