Human arm movements are highly stereotypical under a large variety of experimental
conditions. This is striking due to the high redundancy of the human musculoskeletal system …

Determining the principles used to plan and execute movements is a fundamental question
in neuroscience research. When humans reach to a target with their hand, they exhibit …

Few computational models have addressed the spatiotemporal features of unconstrained
three-dimensional (3D) arm motion. Empirical observations made on hand paths, speed …

Daily interaction with the environment consists of moving with or without objects. Increasing
interest in both types of movements drove the creation of computational models to describe …

In human motor control studies, end-effector (eg, hand) trajectories have been successfully
modeled using optimization principles. Yet, it remains unclear how such trajectories are …

Human motor control is highly efficient in generating accurate and appropriate motor
behavior for a multitude of tasks. This paper examines how kinematic and dynamic …

An important issue in motor control is understanding the basic principles underlying the
accomplishment of natural movements. According to optimal control theory, the problem can …

The purpose of this study was to investigate the nature of the variables and rules underlying
the planning of unrestrained 3D arm reaching. To identify whether the brain uses kinematic …

On a daily basis, humans interact with a vast range of objects and tools. A class of tasks,
which can pose a serious challenge to our motor skills, are those that involve manipulating …

It is currently unclear whether the brain plans movement kinematics explicitly or whether
movement paths arise implicitly through optimization of a cost function that takes into …