We discuss a speed controller for a hopping robot with a pneumatically powered leg. The controller uses a neural network to model the neutral point as a function of running speed and hopping height. The network is trained off-line using training data taken from a simulated hopper that is manually controlled by a human. Simulation experiments of hopping in the sagittal plane show improved perfor...

Particle algorithms are becoming a standard tool for the dynamical simulation of granular flows. An overview of the standard techniques is given along with a discussion of their suitability for multi-processor machines of the vector or scaler type. In particular, the issues surrounding efficiency and load-balancing are discussed. Furthermore, two examples illustrating the potential uses of such...