Abstract: Distributed optimization provides a framework for deriving distributed algorithms for a variety of multi-robot problems. This tutorial constitutes the first part of a two-part series on ...

Abstract: In this paper, a dynamic model of a cylindrical robot manipulator of RPP (Revolute-Prismatic-Prismatic) type based on classical laws of mechanics including Euler-Newton, Kane and Lagrange ...

The PLoM (Probabilistic Learning on Manifolds) software is a MATLAB-based toolbox designed to perform advanced probabilistic modeling and learning on manifolds. It is particularly useful for analyzing ...

A robotic simulator is a software framework that provides a virtual environment, often leveraging different physics/rendering engines and sensor models, to model the robot's behavior, its interaction ...