Network control and sensig for cooperation between mobile robots

This research activity will be focused on the creation of novel tools and services through a High Energy Performance approach. The main goal is to develop an AI service for optimal control of energy considering behind the meter resources (management of energy sources at user level), with local (building or district) overall efficiency.

Faced with the current global challenges of sustainable development and the mitigation of climate change, there is an urgent need for a transition from the currently dominant linear economy towards a circular economy (CE). here exists a lack of consensus regarding what constitutes a “circular city”, and also the need to determine yet further the rationales and the ways forward how to transform cities towards circular models. With the aim of helping to meet this need, our research will precisely explore these issues by conducting research at three different but interconnected areas: 1. Field Research. The project involves the need to gather new data from relevant public urban institutions and corporate stakeholders by means of a field survey, meetings and interviews. 2. Modelling and Analysis. Upon gathering the data from the field research, our team of researchers will conduct a comprehensive analysis and diagnosis of the inputs. 3. Guidelines and Decision Support. Findings of the field research, modelling and analysis are brought to the scrutiny of the representatives of public and private organizations.

The research proposed line aims to enhance the flight control systems onboard of unmanned aerial systems (drones) to develop new intelligent technological capabilities that meet with the most ambitious requirements reagarding smaart cities (energy saving and efficiency in specific societal services). Thanks to the innovative technique CACM-RL developed by SOTICOL RS, drones can perform optimal missions considering optimal criteria, such as, energy minimum consumption or minimum time. In addition, by using this technique, drones can perform special missions in a swarm configuration, if ncessary.

The GOT-Energy-TALENT proposal hereby presented by GEINTRA Group involves different tasks related to the monitoring and analysis of different indicators in the context of home and city surveillance in order to optimize the smart cities capabilities in terms of energy management and security. Works hereby focused thus involve two different important aims in the actual and future society: security and energy.
This proposal in the GOT-Energy-Talent call is oriented to support the transition to a reliable, sustainable and competitive smart city, within the Smart Cities & Communities area: sustainable development of urban areas is a challenge of key importance. It requires new, efficient, and user-friendly technologies and services, in which surveillance applications for people monitoring and analysis, is already a well-developed field in some other advanced societies such as the Asian one. The proposal hereby presented tackles the attainment of a commercial-scale solution with a high market potential that analyzes energy, transport and communications resources and use in which people audio-visual surveillance is the main key.