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Massimo Teppati Losè on Muck Rack

Massimo Teppati Losè

As seen in: MDPI
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Articles

An Efficient Framework for Autonomous UAV Missions in Partially-Unknown GNSS-Denied Environments

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By Michael Mugnai, Massimo Teppati Losè, Edwin Paúl Herrera-Alarcón, Gabriele Baris
| MDPI
1.1. Competition Details and Proposed System Overview Leonardo S.p.A., an Italian aerospace and defense company, created the Drone Contest challenge (https://www.leonardo.com/it/innovation-technology/open-innovation/drone-contest (accessed on 17 July 2023)) in 2019, a yearly event among Italian universities to solve vision-based tasks in an indoor GNSS-denied environment using a UAV.
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Sensors | Free Full-Text | Closed-Chain Inverse Dynamics for the Biomechanical Analysis of Manual Material Handling Tasks through a Deep Learning Assisted Wearable Sensor Network

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By Carlo Alberto Avizzano, Riccardo Bezzini, Luca Crosato, Massimo Teppati Losè
| MDPI
Open AccessArticle by 1,†, 2,†, 1, 1,3, 1,3 and 1,3,* 1 Institute of Mechanical Intelligence, Scuola Superiore Sant’Anna, 56127 Pisa, Italy 2 Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK 3 Department of Excellence in Robotics and AI, Scuola Superiore Sant’Anna, 56127 Pisa, Italy * Author to whom correspondence should be addressed. † These authors contributed equally to this work.
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