In the last years, service robots and their interaction with humans have acquired particular interest. The Research group investigates robot bipedal locomotion and walking-gait programming in simulated and real situations in order to enhance the coupling between Human and Robot. Particular interest is dedicated to the study of Human-Robot and Robot-Robot Interaction.

The Intelligent Robotics Research group focuses on developing efficient collision and obstacle avoidance algorithms for autonomous robots to safely move through an unstructured environment. Our algorithms are based on the discretization of generic movement paths into optimized subsets that satisfied surrounding constraints.

The Research group has an extensive knowledge of the issues related to the use of industrial robots for production. In this context, it is active in robotized visual inspection for quality and completeness control, real-time programming of robotic workcells and computationally efficient algorithms for grasping, assembling and task planning that can be used to program the next generation of industrial robots.

This research activity aims at exploiting vision data for making robots safe and ready for real world applications. The image processing algorithms, developed by the group, rely on information from RGB-D cameras and allow robots to safely act in different environments, to quickly detect people and to track objects and humans and recognize their gestures and actions.

Microfluidic systems are currently used in the form of Lab-on-chip (LoC) in the medical and biomedical domains to realize a number of processes, from DNA analysis to cellular synthesis. This research topic aims at developing purely hydrodynamic modules to interconnect microfluidics LoCs in more complex networks and to study the possibility of using this technology to carry information.

Biometric signals, like blood pressure, heart rate, gait, posture and so on, enclose a wealth of information related to the person and his/her mental and physical conditions. The objective of this research topic is to extract this information and use it for different purposes, such as subject identification, early risk detection of health problems, and so on.

• BCI/BMI for post-stroke motor rehabilitation

• BCI for Focal Hand Dystonia: design and implementation of the most efficient platform for the functional recovery of the hand.

Homepage: http://dgt.dei.unipd.itPeople: Silvano Pupolin (contact person)

• 5G Networks. Massive MIMO: analysis of physical layer aspects, Advanced,  transmission techniques for 5G, Cross-layer solutions

• Cooperative transmission. Analysis of the theoretical capacity enhancement achievable by coordinated transmission schemes and study of the impairments in practical environments. Study of solution with partial cooperative transmission by clusters of cells  

Homepage: dgt.dei.unipd.it