European Union's Software Sensing Δ 8th of September 2014 Ω 11:37 AM

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~ ICT - Information and Communication Technologies ~ Eureka ~ Cordis	~ Human Frontier Science Program ~ sense for Ξ ~ Information & Communication Technologies	~ ICT Challenge 6: Mobility, environmental sustainability and energy efficiency ~ ICT Challenge 2: Cognitive Systems, Interaction, Robotics ~ Cognitive Systems and Robotics
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«Software Sensing	Θ	Θ
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~ ICT - Information and Communication Technologies

»ICT - Information and Communication Technologies

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~ Eureka

»Eureka

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~ Cordis

»Cordis

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~ Human Frontier Science Program

»Human Frontier Science Program

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~ Information & Communication Technologies

»Information & Communication Technologies

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~ ICT Challenge 6: Mobility, environmental sustainability and energy efficiency

»ICT Challenge 6: Mobility, environmental sustainability and energy efficiency

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~ ICT Challenge 2: Cognitive Systems, Interaction, Robotics

»ICT Challenge 2: Cognitive Systems, Interaction, Robotics

Why is it important?
ξ providing the next generations of ICT systems and products with more intelligence will open the door to a wide range of opportunities
ξ for ICT-based applications in a range of sectors

ICT systems - including robot and robotic systems need to be
ξ more robust,
ξ context-aware and
ξ easy-to-use

Endowing them with
ξ advanced learning,
ξ cognitive and reasoning capabilities
will help facilitate this.

Such capabilities should
ξ help them adapt to changing situations as well as to user needs and preferences
ξ to carry out tasks intelligently with people, and in the service of people,
ξ for example as assistants in the workplace, as home companions and servants, or as automatic agents for security

Where to go?
ξ ICT systems should be able to respond intelligently to gaps in their knowledge and
ξ to situations that have not been specified in their design
ξ they should be able to exhibit robust and versatile behaviour in open-ended environments,
ξ give sensible responses in unforeseen situations, and
ξ greatly enhance human-machine interaction

Want robots to
ξ understand their environments and their users
ξ while operating either fully autonomously or
ξ in cooperation with people in complex, dynamic spatial environments

Want artificial systems that
ξ can understand and control material and informational processes
ξ e.g. in industrial manufacturing or public services domains,
ξ for instance through real-time information gathering and interpretation in natural or artificial environments

Want artificial systems to
ξ allow for rich interactions using all senses and for communication in natural language and using gestures
ξ they should be able to adapt autonomously to environmental constraints and to user needs, intentions and emotions

Want to achieve
ξ technologies that apply across domains such as robotics and automation,
ξ sensing and process control, complex real-world systems,
ξ image recognition, natural language understanding, and automated reasoning and decision support
ξ advancing new engineering methods and their scientific foundations
ξ to have significant industrial and societal impact

Will extend the industrial robotics market to
ξ flexible small scale manufacturing, opening up professional and domestic services markets to robots,
ξ novel functionalities for embedded systems,
ξ assistive systems for interpersonal communications, such as support of dynamic translation, and
ξ effective medical diagnostics and therapeutics.
ξ to extend the capabilities of people to perform routine, dangerous or tiring tasks
ξ in previously inaccessible, uncharted or remote spaces; or
ξ help save crucial time in emergencies or hazardous situations

A new approach is needed
ξ rethinking the way systems are being engineered
ξ to get machines to exhibit performance capacities that resemble those of humans or animals,
ξ inspiration and insights will be borrowed from bio-sciences, social sciences and humanities
ξ studying new computational paradigms derived from models of natural cognition
ξ in some domains the exploration and validation of the use of new materials and hardware designs is strongly encouraged
ξ engineering progress will crucially depend on advancing our scientific understanding of
ξ what both natural and artificial systems can and cannot do, and how and why
ξ structuring research and development in relevant areas,
ξ addressing requirements for cognitive capacities of artificial systems and ways to meet these requirements,
ξ is therefore a key part of this challenge

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~ Cognitive Systems and Robotics

»Cognitive Systems and Robotics

Research Rationale
ξ by promoting research into systems that have cognitive functions normally associated with people or animals and
ξ which exhibit a high degree of robustness in coping with unpredictable situations,
ξ seeking to overcome limitations of today's computers, robots, and other man-made creations
ξ to handle simple everyday situations with common sense and
ξ to work without pre-programming in natural surroundings,
ξ while maintaining and possibly improving the quality of their services

Mission
ξ to support research on the construction of artificial cognitive systems
ξ than can interpret information (images, text, speech, video footage) and other forms of sensor data, and
ξ act purposefully and autonomously towards achieving goals
ξ these systems should learn and develop through individual or social interaction with their environment
ξ the work should provide an enabling technology that applies across domains such as
ξ natural language understanding, image recognition, automated reasoning and decision support,
ξ robotics and automation, sensing and process control, and complex real-world systems
ξ the work should furthermore borrow insights from the bio-sciences, and
ξ yield innovative insights about perception, understanding, interaction, learning and knowledge representation

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