Walking animals can continuously adapt their locomotion to deal with unpredictable
changing environments. They can also take proactive steps to avoid colliding with an …

Abstract Distributed Adaptive Control (DAC) is a theory of the design principles underlying
the Mind, Brain, Body Nexus (MBBN) that has been developed over the last 20 years. DAC …

Over the past decades, machine learning techniques, such as supervised learning,
reinforcement learning, and unsupervised learning, have been increasingly used in the …

Neurobiological studies have shown that insects are able to adapt leg movements and
posture for obstacle negotiation in changing environments. Moreover, the distance to an …

Demographic change is expected to challenge many societies in the next few decades if
todays' standards of services in eg elder care shall be maintained. Robots are considered to …

Typically, control strategies for legged robots have been developed to adapt their leg
movements to deal with complex terrain. When the legs are extended in search of ground …

Due to demographic change, health and elderly care systems are facing a shortage of
qualified caregivers. This issue can be addressed by introducing welfare robots into …

Learning in biologically relevant neural-network models usually relies on Hebb learning
rules. The typical implementations of these rules change the synaptic strength on the basis …

How dynamic interactions between nervous system regions in mammals performs online
motor control remains an unsolved problem. In this paper, we show that feedback control is …

Goal-directed decision making in biological systems is broadly based on associations
between conditional and unconditional stimuli. This can be further classified as classical …