Parallel robots are closed-loop mechanisms presenting very good performances in terms of
accuracy, velocity, rigidity and ability to manipulate large loads. They have been used in a …

This paper presents a systematic methodology for solving the inverse dynamics of a Stewart-
Gough manipulator. Based on the principle of virtual work and the concept of link Jacobian …

In recent years, increased interest in parallel robots has been ob served. Their control with
modern theory, such as the computed-torque method, has, however, been restrained …

This paper deals with the conceptual design and optimal dimensional synthesis of a novel 2-
DOF translational parallel robot for pick-and-place operations. In a conceptual design …

An optimal kinematic design method suited for parallel manipulators is developed. The
kinematic optimization process yields a design that delivers the best compromise between …

This paper readdress the issue of deriving explicit equations of motion for parallel robots by
using the Lagrangian formalism. Reputed of being inefficient for closed-loop mechanisms …

Parallel manipulators offer much higher rigidity and smaller mobile mass than their serial
counterparts, thus allowing much faster and more precise manipulations. The main …

Deep learning has been widely used within learning algorithms for robotics. One
disadvantage of deep networks is that these networks are black-box representations …

Abstract Background Sponsored by the European Commission, the FP7 STIFF-FLOP project
aimed at developing a STIFFness controllable Flexible and Learn-able manipulator for …

It is in the early 80's when Reymond Clavel (professor at EPFL-École Polytechnique
Fédérale de Lausanne) comes up with the brilliant idea of using parallelograms to build a …