2 citations · 3 across the 4 of their papers we have counts for
5 papers
Robot Learning on Discrete Surfaces: Theory and Applications
Matteo Dalle Vedove, Fares J. Abu-Dakka, Luigi Palopoli +2
All the objects composing our world are enclosed within surfaces. Yet, most robot learning and motion generation frameworks treat surfaces as constraints ignoring their intrinsic g…
A Task-Driven, Planner-in-the-Loop Computational Design Framework for Modular Manipulators
Maolin Lei, Edoardo Romiti, Arturo Laurenzi +5
Modular manipulators composed of pre-manufactured and interchangeable modules offer high adaptability across diverse tasks. However, their deployment requires generating feasible m…
Surface Defect Identification using Bayesian Filtering on a 3D Mesh
Matteo Dalle Vedove, Matteo Bonetto, Edoardo Lamon +3
This paper presents a CAD-based approach for automated surface defect detection. We leverage the a-priori knowledge embedded in a CAD model and integrate it with point cloud data a…
MeshDMP: Motion Planning on Discrete Manifolds using Dynamic Movement Primitives
Matteo Dalle Vedove, Fares J. Abu-Dakka, Luigi Palopoli +2
An open problem in industrial automation is to reliably perform tasks requiring in-contact movements with complex workpieces, as current solutions lack the ability to seamlessly ad…
A Passivity-Based Variable Impedance Controller for Incremental Learning of Periodic Interactive Tasks
Matteo Dalle Vedove, Edoardo Lamon, Daniele Fontanelli +2
In intelligent manufacturing, robots are asked to dynamically adapt their behaviours without reducing productivity. Human teaching, where an operator physically interacts with the…