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The vehicle–track interaction and the resulting dynamic response of the vehicle involve a number of complex nonlinear problems. Large vertical loads act through a small contact patch leading to very high contact pressures. Transverse loads acting through this contact induce a relative velocity between wheel and rail expressed in non-dimensional form as a creepage. The wheel and rail profiles determine the contact patch shape and affect the ability of the vehicle to run stably. If the yaw stiffness of the axles is too low, the vehicle will become unstable at a relatively low speed; conversely, if the yaw stiffness is too high, the curving behaviour will be adversely affected. The vehicle suspension, especially the secondary suspension, also affects the ride comfort of passengers. Finally, it is shown how the speed profiles of accelerating and decelerating trains can be calculated from basic assumptions about the train power, adhesion and rolling resistance.

This chapter investigates the need to focus on the gap between the pure quantification of the body, expressed by robotic implants, and recent research aiming to recover qualitative aspects of touch, such as sensation. The solution proposed is to analyse new implant technologies with a stereoscopic vision that is able to consider sensation both as intensity of neural signals and as something that we feel. The central question is: what is the value of introducing qualitative analysis into typically quantified robotics research, governed by data?