Daniele Massa

About

Daniele Massa is a researcher at the forefront of industrial robotics and manufacturing automation, with a strong focus on bridging the gap between flexibility and precision. His key research areas include human-robot collaboration, robot programming, and high-accuracy manufacturing, all framed within the paradigm of Industry 4.0 and Cyber-Physical Systems (CPS). Massa’s most influential contribution is his work on manual guidance for industrial robot programming (2015, 73 citations), which addresses the critical industry need for intuitive, safe, and robust programming methods. He has also made significant strides in enhancing robotic accuracy, developing a geometrical calibration method for a 6-axis robotic arm (2020, 49 citations) and a cognitive referencing system for high-precision tasks. His involvement in the H2020 PERFoRM project led to the integration of a distributed, pluggable industrial architecture (2017, 22 citations), showcasing his ability to design modular, reconfigurable smart robotic cells. With over 150 total citations, Massa’s work is essential reading for anyone interested in making industrial robots more accessible, accurate, and adaptable for the factories of the future.

Research Focus

Key Achievements

Top Papers

1. 1
   Manual guidance for industrial robot programming

   73 citations · 2015
2. 2
   Geometrical calibration of a 6-axis robotic arm for high accuracy manufacturing task

   49 citations · 2020
3. 3
   Integration and Deployment of a Distributed and Pluggable Industrial Architecture for the PERFoRM Project

   22 citations · 2017
4. 4
   Cognitive Robot Referencing System for High Accuracy Manufacturing Task

   6 citations · 2017
5. 5
   A Cyber-Physical System approach for the design of a modular Smart Robotic Cell

   4 citations · 2016

Key Collaborators

Contact & Links