The Industrial Robotics Facility (InBot) tackles the challenges of bringing current robotics research to mainstream industrial use cases. Thus we bridge the gap between the academic and industrial forefronts, and specialize in the automation complex labor intensive tasks. These tasks are normally require dexterous motion and compliant material handling. Consequently our research goals are also aligned towards dexterous manipulation, elasticity and compliant material control.
The industrial robotics unit is, and has been, involved in many (National and International) Projects, as well as industrial collaborations. Some of the outcomes of these activities can be seen in form of Prototypes, Patents and Papers. Please refer to the related pages to see their details.
Industrial Robotics Facility
Publications
2025
Mehmood Y., Cannella F., Cocuzza S.
Analytical Modeling, Virtual Prototyping, and Performance Optimization of Cartesian Robots: A Comprehensive Review
Robotics, vol. 14, (no. 5)
2025
Lahoud M., Gnad D., Marchello G., Cannella F., Muller A.
Assessing the Feasibility of Deep Lagrangian Networks for Industrial-Level Control of a Parallel Kinematic Manipulator
Mechanisms and Machine Science, vol. 190, pp. 72-80
2025
Lahoud M., Gnad D., Marchello G., D'Imperio M., Müller A., Cannella F.
Inducing matrix sparsity bias for improved dynamic identification of parallel kinematic manipulators using deep learning
2025 IEEE International Conference on Robotics and Automation, pp. 634-640