Artificial neural networks (ANNs) have emerged as an essential tool in machine learning,
achieving remarkable success across diverse domains, including image and speech …

The next generation of autonomous-legged robots will herald a new era in the fields of
manufacturing, healthcare, terrain exploration, and surveillance. We can expect significant …

One developing approach for robotic control is the use of networks of dynamic neurons
connected with conductance-based synapses, also known as Synthetic Nervous Systems …

For decades, the field of biologically inspired robotics has leveraged insights from animal
locomotion to improve the walking ability of legged robots. Recently,'biomimetic'robots have …

During walking, sensory information is measured and monitored by sensory organs that can
be found on and within various limb segments. Strain can be monitored by insect load …

Most efforts on spike-based learning on neuromorphic hardware focus on synaptic plasticity
and do not yet exploit the potential of altering the spike-generating dynamics themselves …

Featured Application The underlying system parameters of a biologically inspired robot
control method with an intuitive visualization tool can tune precise parts of a trajectory while …

This research presents a 10-year systematic review based on bibliometric analysis of the bio-
inspired design of hard-bodied mobile robot mechatronic systems considering the anatomy …

Mammals can generate autonomous behaviors in various complex environments through
the coordination and interaction of activities at different levels of their central nervous …

Abstract The NCE Focus Issue on Bioinspired Adaptive Intelligent Robots aims at collecting
evidence of the different forms of biomimicry in robotics, from soft robotics and embodiment …