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R Q van der Linde

Publications and source records attributed to R Q van der Linde.

2 recordsLinked to original sources

Passive bipedal walking with phasic muscle contraction.

The existence of self-organizing walking patterns is often considered the result of a mechanical system interacting with the environment and a (neural) oscillating unit. The pattern generators might be thought of as an indispensable component for the existence of limit cycle behavior. This paper shows that this is not a necessity for the existence of a self-organizing bipedal walking pattern. Stable walking cycles emerge from a simple passive bipedal structure, with an energy source inevitably present to sustain the oscillation. In this work the energy source is chosen to be phasic muscle contraction. A two-dimensional model is composed of two legs and a hip mass, symbolizing the trunk. The stance leg stiffness is generated by two muscles. The hip stiffness is generated by four muscles. Muscle activation is caused by two reflex-like trigger signals, without feedback control. Human equivalent model parameters such as geometry and mass distribution were assumed. With return map analysis, the model is analyzed on periodic behavior. Stable walking cycles were found and could be manipulated during walking by varying the muscle or reflex parameters, forcing the oscillation to converge to a new attractor.

Computer Simulation↗

Towards applicable ballistic walking.

Ballistic walking has been a topic of research in biomechanics and robotics several times. The main advantages of this approach are: self-organizing properties, minimal energetic expenditure, and natural movement. This would make ballistic walking a perfect physical principle for application in rehabilitation, and robotics. However a typical shortcoming of this approach is that it does not explicitly involve actuation (e.g., muscles or motors). In this work ballistic walking is extended with variable intrinsic system parameters, which can be used as an energy input and for disturbance control. With a limit cycle approach walking cycles can be synthesized and cycle controllers can be designed. Experiments with a bipedal robot and simulations illustrate the route towards more robust, and applicable ballistic walking.

Biomechanical Phenomena↗