The field of Artificial Intelligence, which started roughly half a century ago, has a turbulent
history. In the 1980s there has been a major paradigm shift towards embodiment. While …

Reservoir computing (RC) is a powerful computational paradigm that allows high versatility
with cheap learning. While other artificial intelligence approaches need exhaustive …

The control of compliant robots is, due to their often nonlinear and complex dynamics,
inherently difficult. The vision of morphological computation proposes to view these aspects …

Here we present the design of a passive-dynamics based, fully autonomous, 3-D, bipedal
walking robot that uses simple control, consumes little energy, and has human-like …

The construction of more capable bipedal robots highly depends on the ability to measure
their performance. This performance is often measured in terms of speed or energy …

Stability control for walking bipeds has been considered a complex task. Even two-
dimensional fore-aft stability in dynamic walking appears to be difficult to achieve. In this …

This chapter introduces the paradigmLimit Cycle Walking'. This paradigm for the design and
control of two-legged walking robots can lead to unprecedented performance in terms of …

The fact that the morphology of a robot affects its control requirements has become
increasingly evident in robotics. Not only does the morphology determine the behaviors that …

Robot walking, while appealing for its resemblance to human motion, is not an obvious
choice when both economy and versatility are desired. Wheeled vehicles are surprisingly …

This paper presents the simplest walking model with an upper body. The model is a passive
dynamic walker, ie it walks down a slope without motor input or control. The upper body is …