A group of European researchers developed a computerized robotic model of a salamander. According to the press release by the Ecole Polytechnique Fédérale de Lausanne such a model will be quite helpful for neurobiologists to study human spinal cord processes.
The researchers used a numerical model of the salamander’s spinal cord to explore three fundamental issues related to this vertebrate’s movement: what were the changes in the spinal cord that made it possible to evolve from aquatic to terrestrial locomotion? How are the limb and axial movements coordinated? And how is a simple electrical signal from the brain stem translated by the spinal cord into a change in gait?
Once they thought they had answers to these questions, the team implemented the model – a system of coupled oscillators representing the neural networks in the spinal cord – on a primitive salamander-like robot. Simple electrical signals, like the signals sent from the upper brain to the spinal cord, were sent wirelessly from a laptop to the robot. These signals were enough to cause the robot to change its speed and direction and change from walking to swimming. The model therefore provides a potential explanation – relevant for all four-legged organisms – of how agile locomotion is controlled by distributed neural mechanisms located in the spinal cord.
The robot serves here as a useful tool for neurobiology, explains EPFL professor Auke Ijspeert. “We used the robot to show that our model actually reflects reality.
The robot was very useful to validate that our model could effectively modulate speed, direction and gait – aspects that need a mechanical “body” to be properly evaluated – and also to verify that the generated movements are close to those of a real salamander.”
This research may ultimately point to a way to gain better understanding of the more sophisticated circuits in the human spinal cord. If the control signals received by the spinal cord could be identified, perhaps it would be possible to re-initiate these by electrical stimulations in patients with spinal cord injuries.
And it’s a vivid demonstration that biology offers unique ideas for robotics design. “Nature found a nice way of making a sophisticated circuit in the spinal cord and then controlling the muscles from there,” notes Ijspeert. “It’s a fantastic solution for coordinating multiple degrees of freedom in a simple distributed way.” Robots that could change their speed, direction, and gait based on simple remote signals, like living organisms, would be extremely useful in search and rescue operations, for example.
This research may ultimately point to a way to gain better understanding of the more sophisticated circuits in the human spinal cord. If the control signals received by the spinal cord could be identified, perhaps it would be possible to re-initiate these by electrical stimulations in patients with spinal cord injuries.