What researchers uncovered about sea star locomotion could help scientists design simpler, decentralised systems in robotics and beyond.

Have you ever seen a sea star move? To many of us, sea star seem motionless, like a rock on the ocean's floor, but in actuality, they have hundreds of tube feet attached to their underbelly. These feet stretch and contract to attach to rough terrain, hold on to prey and, of course, move.

Any one tube foot on a sea star can act autonomously in responding to stimuli, but coupled together, they can synchronise their motion to produce a bouncing motion - their version of running.

For years, researchers have wondered exactly how a sea star accomplishes this synchronisation, given it has no brain and a completely decentralised nervous system.

The answer, from researchers at the USC Viterbi School of Engineering, was published recently in the 'Journal of the Royal Society Interface': sea star couple a global directionality command from a 'dominant arm' with individual, localised responses to stimuli to achieve co-ordinated locomotion.

In other words, once the sea star provides an instruction on which way to move, the individual feet figure out how to achieve this on their own, without further communication.

The researchers, including Professor Eva Kanso in USC Viterbi's Department of Aerospace and Mechanical Engineering and Sina Heydari, a USC Viterbi PhD candidate, were joined by Matt McHenry, associate professor of ecology and evolutionary biology at the University of California, Irvine; Amy Johnson, professor of marine biology at Bowdoin College; and Olaf Ellers, research associate in biology and mathematics at Bowdoin College.

The work builds on an existing hierarchal model of behaviour, but goes further in explaining how much of sea star locomotion happens locally versus globally.

"The nervous system does not process everything in the same place at the same time, but relies on the idea that the sea star is competent and will figure it out," says Kanso, a Zohrab A Kaprielian Fellow in Engineering.

"If one tube foot pushes against the ground, the others will feel the force. This mechanical coupling is the only way in which one tube foot shares information with another."

A third model of locomotion

The nervous system of a sea star is characterised by a nerve ring that surrounds its mouth and connects to each individual arm through a radial nerve. The muscles of each tube foot are stimulated by neurons connected to the radial and ring nerves.

All feet step in the same direction while crawling, but their movement is not synchronised. However, when achieving the bouncing gait, sea star seem to coordinate tens of feet into two or three synchronised groups.

The research team, led by Kanso, looked at both modes of motion, and the transition between them. The result is a model that describes how much of a sea star's locomotion is determined by local sensory-motor response at the tube feet level versus global sensory-motor commands.

In the animal world, behaviour is often described by one of two prevailing models of locomotion; behaviour such as insect flight is the result of sensory feedback travelling through a central processing system, which sends a message activating a response, or it is the result of completely decentralised, individual responses to sensory information such as in fish schools or ant colonies.

Neither of these models seem to describe the motion of a sea star.

"In the case of the sea star, the nervous system seems to rely on the physics of the interaction between the body and the environment to control locomotion. All of the tube feet are attached structurally to the sea star and thus, to each other."

In this way, there is a mechanism for 'information' to be communicated mechanically between tube feet. An individual tube foot would only need to sense its own state (proprioception) and respond accordingly.

Because its state is coupled mechanically to other tube feet, they work together collectively. As the tube feet begin to move, each produces an individual force that becomes a part of the sensory environment.

In this way, each tube foot is also responding to the forces produced by other tube feet and eventually, they establish a rhythm with each other.

This is similar to other mechanical models of co-ordination. For example, take a set of mechanical metronomes, devices used to help keep rhythm or time for a musician.

You can start a set of 10 at all different phases, resting them on the same flat surface. Over time, they will synchronise.

At play is the mechanical coupling effect seen with the sea star; each metronome is mechanically interacting with the phases created by the other metronomes and as such, is effectively 'communicating' with the other metronomes until they begin to beat in complete rhythm and synchrony.

More efficient robotics systems

Understanding how a distributed nervous system, like that of a sea star, achieves complex, co-ordinated motions could lead to advancements in areas such as robotics.

In robotics systems, it is relatively straightforward to program a robot to perform repetitive tasks. However, in more complex situations where customisation is required, robots face difficulties. How can robots be engineered to apply the same benefits to a more complex problem or environment?

The answer might lie in the sea star model, says Kanso. "Using the example of a sea star, we can design controllers so that learning can happen hierarchically. There is a decentralised component for both decision-making and for communicating to a global authority.

"This could be useful for designing control algorithms for systems with multiple actuators, where we are delegating a lot of the control to the physics of the system - mechanical coupling - versus the input or intervention of a central controller."

Next, Kanso and her team will look at how the global directionality command arises in the first place and what happens if there are competing stimuli.