Robotics and neuroscience are sister disciplines that both aim to understand how agile,
efficient, and robust locomotion can be achieved in autonomous agents. Robotics has …

Locomotion results from complex interactions between the central nervous system and the
musculoskeletal system with its many degrees of freedom and muscles. Gaining insight into …

People with late-stage Parkinson's disease (PD) often suffer from debilitating locomotor
deficits that are resistant to currently available therapies. To alleviate these deficits, we …

Musculoskeletal simulations are used in many different applications, ranging from the
design of wearable robots that interact with humans to the analysis of patients with impaired …

Modeling human motor control and predicting how humans will move in novel environments
is a grand scientific challenge. Researchers in the fields of biomechanics and motor control …

Abstract Changes in old age that contribute to the complex issue of an increased metabolic
cost of walking (mass-specific energy cost per unit distance traveled) in older adults appear …

Animal locomotion is the result of complex and multi-layered interactions between the
nervous system, the musculo-skeletal system and the environment. Decoding the underlying …

Many biomedical, orthopaedic, and industrial applications are emerging that will benefit from
personalized neuromusculoskeletal models. Applications include refined diagnostics …

Accurate predictive simulations of human gait rely on optimisation criteria to solve the
system's redundancy. Defining such criteria is challenging, as the objectives driving the …

Locomotion through the environment is important because movement provides access to
key resources, including food, shelter and mates. Central to many locomotion-focused …