During biped stance or locomotion, humans show remarkable skills in reactive balancing
upon external disturbances. Mainly four types of external disturbances are relevant for …

The scholarly discourse surrounding the manifold advantages, applications, and limitations
of implementing Virtual Reality (VR) in the contemporary milieu has burgeoned over time …

Human arm exhibits superb maneuverability in performing various tasks by using its ability
to actively adjust impedance parameters and interaction forces; therefore, identifying the …

The purpose of this work is to develop a computational model to describe the task of sit to
stand (STS). STS is an important movement skill which is frequently performed in human …

Our empirical, neuroscientific understanding of biological motor systems has been rapidly
growing in recent years. However, this understanding has not been systematically mapped …

Flash and Hogan (1985) suggested that the CNS employs a minimum jerk strategy when
planning any given movement. Later, Nakano et al.(1999) showed that minimum angle jerk …

In this thesis I present the Recurrent Error-driven Adaptive Control Hierarchy (REACH); a
large-scale spiking neuron model of the motor cortices and cerebellum of the motor control …

In spite of the complexities of the human musculoskeletal system, the central nervous system
has the ability to orchestrate difficult motor tasks. Many researchers have tried to understand …

The aim of this article is to propose a self-tuning path planning algorithm suitable for the
cooperation task of multi-AGVs. The algorithm aims to address the conflict and deadlock …

In this study, we introduce a hierarchical and modular computational model to explain how
the CNS (Central Nervous System) controls arm reaching movement (ARM) in the frontal …