List of Funded Projects

Important note: the projects below are recommended for funding to the national research funding organisations of CHIST-ERA by the Call Steering Committee of CHIST-ERA. The actual funding of the projects depends on the successful completion of contracts negotiation at the national level.

ArTificial Language uNdersTanding In robotS

ATLANTIS attempts to understand and model the very first stages in grounded language learning, as we see in children until the age of three: how pointing or other symbolic gestures emerge from the ontogenetic ritualization of instrumental actions, how words are learned very fast in contextualized language games, and how the first grammatical constructions emerge from concrete sentences. This requires a global, computational theory of symbolic development that informs us about what forces motivate language development, what strategies are exploited in learner and caregiver interactions to come up with more...

Human Language Understanding: Grounding Language Learning (HLU) (2014)

The Use of Big Data Analytics for Process Modelling in Smart Logistics Operations

“Logistics 4.0” is referred to the combination of using logistics with the innovations and applications added by Cyber Physical Systems (CPS). “Smart Logistics” is a logistics system, which can enhance the flexibility, the adjustment to the market changes and will help the company be closer to the customer needs. This new paradigm is the result of the increased and enhanced use of internet that enables the communication between machines, devices and humans in real time and the use of what is known as ‘’Advanced Digitalisation’’. The challenging competition in the global market forces transportation companies to...

Big data and process modelling for smart industry (BDSI) (2017)

Benchmarks for UndeRstanding Grasping

Grasping rigid objects has been reasonably studied under a wide variety of settings. The common measure of success is a check of the robot to hold an object for a few seconds. This is not enough. To obtain a deeper understanding of object manipulation, we propose (1) a task-oriented part-based modelling of grasping and (2) BURG - our castle* of setups, tools and metrics for community building around an objective benchmark protocol. The idea is to boost grasping research by focusing on complete tasks. This calls for attention on object parts since they are essential to know how and where the...

Object recognition and manipulation by robots: Data sharing and experiment reproducibility (ORMR) (2017)

Collaborative Annotation of multi-MOdal, multI-Lingual and multi-mEdia documents

Human activity is constantly generating large volumes of heterogeneous data, in particular via the Web. These data can be collected and explored to gain new insights in social sciences, linguistics, economics, behavioural studies as well as artificial intelligence and computer sciences. In this regard, 3M (multimodal, multimedia, multilingual) data could be seen as a paradigm of sharing an object of study, human data, between many scientific domains. But, to be really useful, these data should be annotated, and available in very large amounts. Annotated data is useful for computer sciences which process human...

From Data to New Knowledge (D2K) (2011)

Cooperative Autonomous Robots in Complex and Humans Environments

Public spaces in large cities are increasingly becoming complex and unwelcoming environments. Public spaces progressively become more hostile and unpleasant to use because of the overcrowding and complex information in signboards. It is in the interest of cities to make their public spaces easier to use, friendlier to visitors and safer to increasing elderly population and to citizens with disabilities. Meanwhile, we observe, in the last decade a tremendous progress in the development of robots in dynamic, complex and uncertain environments. The new challenge for the near future is to deploy a network of robots...

Adaptive Machines in Complex Environments (AMCE) (2013)

Emotion psychology meets cyber security in IoT smart homes

In Cocoon, we interweave innovations in two distinctly different disciplines to understand and improve security of home IoT technology: emotion psychology and cyber security. We produce an understanding of the psychology of IoT users, assess risks in current and future IoT systems, and formulate provisions for the design and integration of user-centric IoT in tomorrow’s homes. Home is a safe haven to experience privacy and control, personal autonomy and integrity. IoT technology is expected to merge physical and virtual worlds, creating smart home environments that enhance wellbeing. As the physical and the...

User-Centric Security, Privacy and Trust in the Internet of Things (SPTIoT) (2015)

A Context-Adaptive Content Ecosystem Under Uncertainty

The objective of CONCERT is to develop a content ecosystem encompassing all relevant players which will be able to perform intelligent content and network adaptation in highly dynamic conditions under uncertainty. This ecosystem will have as basis emerging information-/content-centric networking technologies which support intrinsic in-network content manipulation. The project will consider uncertainty aspects in the following two application domains: a) social media networks based on user generated content and b) CDN-like professional content distribution. Three dimensions of uncertainties will be addressed:...

Context- and Content-Adaptive Communication Networks (C3N) (2012)

COmmunicatioN-aware dyNamic Edge CompuTing

Internet of things (IoT) is slowly permeating every aspect of our lives; however, we are far from having a truly intelligent IoT. Smart sensors generate massive amounts of data continuously; for instance, an autonomous vehicle is expected to generate about one gigabyte of data per second, but more often than not data is not systematically processed, stored, or analyzed for better inference. Many specialized machine learning (ML) algorithms have been developed to learn from sensor measurements, but these assume a centralized setting, where data is available at a central processor with powerful computation...

Smart Distribution of Computing in Dynamic Networks (SDCDN) (2018)