This review article aims to address common research questions in hexapod robotics. How
can we build intelligent autonomous hexapod robots that can exploit their biomechanics …

Walking animals produce adaptive interlimb coordination during locomotion in accordance
with their situation. Interlimb coordination is generated through the dynamic interactions of …

The striking similarity between biological locomotion gaits and the evolution of phase
patterns in coupled oscillatory network can be traced to the role of central pattern generator …

The static stability of hexapods motivates their design for tasks in which stable locomotion is
required, such as navigation across complex environments. This task is of high interest due …

The implementation of soft sensors for industrial processes is expanding in applications for
recent machine learning techniques. In this work, strategies based on reservoir computing …

Insects exhibit adaptive and versatile locomotion despite their minimal neural computing.
Such locomotor patterns are generated via coordination between leg movements, ie, an …

A dynamical model of an animal's nervous system, or synthetic nervous system (SNS), is a
potentially transformational control method. Due to increasingly detailed data on the …

This manuscript describes neuromechanical modeling of the fruit fly Drosophila
melanogaster in the form of a hexapod robot, Drosophibot, and an accompanying dynamic …

Animals dynamically adapt to varying terrain and small perturbations with remarkable ease.
These adaptations arise from complex interactions between the environment and …

Biological principles draw attention to service robotics because of similar concepts when
robots operate various tasks. Bioinspired perception is significant for robotic perception …