The control of multilegged animal walking is a neuromechanical process, and to achieve this
in an adaptive and energy efficient way is a difficult and challenging problem. This is due to …

Today's gecko-inspired robots have shown the ability of omnidirectional climbing on slopes
with a low centre of mass. However, such an ability cannot efficiently cope with bumpy …

Despite their small size, insect brains are able to produce robust and efficient navigation in
complex environments. Specifically in social insects, such as ants and bees, these …

In order to move, animals in nature usually use a rhythmic movement which is highly stable
and adaptable. Movement controlled by the central pattern generator (CPG) is a …

Reservoir Computing is a relatively new framework created to allow the usage of powerful
but complex systems as computational mediums. The basic approach consists in training …

Artificial vision systems have been extensively reported for processing unstructured data,
performing pattern recognition, and performing visual simulations. Photonic synapses have …

Animals show remarkable capabilities in navigating their habitat in a fully autonomous and
energy-efficient way. In many species, these capabilities rely on a process called path …

The study and development of walking robots implies solving several problems related with
the design, dynamics, gait patterns, control and other topics inherent to their complex …

Aiming at the control problem of quadruped robot in fast and stable running state, a
backward control method of quadruped robot based on CPG was proposed in this paper …

In the present scenario, application of robots plays an important role in many fields as they
can be operated in hazardous and urban environments. Many robots are utilized to reduce …