[Pag.1] - [Pag.2] - [Pag.3] - [Pag.4] - [Pag.5] - [Pag.6] - [Pag.7] - [Pag.8] - [Pag.9] - [Pag.10]

Recurrent Neural Network
Neural crystal: a dynamic recurrent network (page1)

Neural crystal: a dynamic recurrent network (page2)
Neural crystal: a dynamic recurrent network (page3)
Neural crystal: a dynamic recurrent network (page4)
Neural crystal: a dynamic recurrent network (page5)

Strider
Dynamic gait changing for hexapod walking robots

On the design of a biologically inspired hexapod robot

A simple biologically inspired hexapod robot

USC
A history-based approach for adaptive robot behavior in dynamic environments

Movement control methods for complex, dynamically simulated agents: adonis dances the macarena
Making complex articulated agents dance

Learning from history for adaptive mobile robot control

Walking
NSF Proposal Excerpts
Some Results In Passive-Dynamic Walking
The Simplest Walking Model: Stability, Complexity, and Scaling
Motions of A Rimless Spoked Wheel: A Simple 3D System With Impacts
Efficiency, Speed, And Scaling Of Passive Dynamic Bipedal Walking
Speed, Efficiency, And Stability of Small-Slope 2D Passive-Dynamic Bipedal Walking
Small Slope Implies Low Speed In Passive Dynamic Walking
Passive Dynamic Models of Human Gait
Stability and Chaos in Passive-Dynamic Locomotion
An Uncontrolled Toy That Can Walk But Cannot Stand Still
John Camp's Master of Engineering Project Report
Mariano Garcia
Prologue
Mariano Garcia
Chapter 1
Mariano Garcia
Chapter 2
Mariano Garcia
Chapter 3
Mariano Garcia
Chapter 4
Mariano Garcia
Chapter 5
Mariano Garcia
References

 

Istituto Tecnico Industriale "G.Omar" - B.do La Marmora 12, NOVARA
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