Post-doc

Domenico Bianchi

Control of multiagent systems, modeling, analysis and control of networked, embedded and distributed systems, nonlinear systems and optimal control, artificial intelligence algorithms
10 Analisi e Controllo di Sistemi Complessi
ING-INF/04 - Automatica
Information Engineering

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Research - Former Projects

The FP7 NoE HYCON2, started in September 2010, is a four-year project coordinated by the CNRS. It aims at stimulating and establishing a long-term integration in the strategic field of control of complex, large-scale, and networked dynamical systems. It focuses in particular on the domains of ground and aerospace transportation, electrical power networks, process industries, and biological and medical systems. The Fp7 NoE HYCON2 provides its vision on the challenges of future for systems and control science technology in the following document Position Paper on Systems and Control in FP8.

Bando Horizon 2020 – PON IC 2014/2020

Start: 03-2017 - End: 12-2018

The goal of the Smart Sensing Robot project is to implement consumer robots equipped with technology for computational psycho-physiology based on infrared and behavioral logic, action and choice based on the current psycho-physiological state of the child. The Smart Sensing Robot will be able to perceive the emotional state of the child and will interact with the latter, present him with educational, training, therapeutic and playful contents in a manner congruent with the expectations, timing and status of the child. The added value of the Smart Sensing Robot project therefore lies in the personalization of the relationship between child and Robot, with the possibility of typing the relationship with each user.

 

Project “I-MULE” – National Project – Call “Industria 2015 - Bando Nuove Tecnologie per il Made in Italy” - End Project: December 2017

The Program consisted in the realization of a prototype system for the handling of baggage in the airport area using a fleet of robotic vehicles on wheels. The goal is to create a complete baggage sorting system at the airport, from the "passenger desk" to the "loading bay" of luggage, to check its functionality. The robotic vehicles will operate in real working conditions at a location that will be made available by the ADR company. Each vehicle carries the baggage of an individual traveler passing through the foreseen checkpoints (for example the X-ray safety checks) and returning to a "parking area" for the subsequent re-use. The operation of loading and unloading the baggage on/off the vehicle can be either manual or automated. The movement of the vehicles will take place within a limited and reserved area, even if access by authorized personnel is possible to handle malfunctions and emergencies. Emphasis was given to the control scenarios that can be prefigured: completely centralized control; distributed and remote control (autonomy of vehicles to determine their movement); hybrid control, in which there is a movement planning at a higher level. The vehicle has a local intelligence that allows autonomously determining the direction of travel by means of a navigation algorithm and sensors capable of determining its position with respect to the infrastructure.

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