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