Digital Single Market
Digital Economy & Society

Project factsheets - Robotics

The European Commission funds over 100 collaborative projects on advanced research into robots which aim to understand the world around them through sensing, perception, understanding, reasoning and action.

The projects cover subjects ranging from autonomy, manipulation / grasping, mobility and navigation in all terrains, to human-robot interaction and cooperative robots. Many if not all of the projects tackle seemingly simple tasks which are very difficult for machines: how to pick up a ball, avoid bumping into a wall, recognize a danger in the home and so on.

EU funded projects
  • 2nd European Network for the Advancement of Artificial Cognitive Systems, Interaction and Robotics

    Research in artificial cognitive systems currently suffers from fragmentation and the lack of a clear agenda. It is for this reason that EUCogII establishes a closely cooperating research community in Europe that develops its vision for the discipline.
  • A framework for musculoskeletal robot development

    Compliant, musculoskeletal robotic systems offer several advantages, especially in situations where human and robot work in close proximity. A musculoskeletal design takes inspiration from the mechanics of the human body. It makes extensive use of viscous-elastic materials to emulate the muscles and tendons which enhance safety, dexterity and adaptivity in uncertain environments.
  • A neuro-dynamic framework for cognitive robotics: scene representations, behavioural sequences, and learning

    Endowing robots with cognition is a long-standing and difficult objective.
  • A Robotic Sense of Movement

    The proposal objective is to investigate new approaches to the design and development of humanoid robots with advanced perception and action capabilities, showing robust, adaptive, predictive and effective behaviour in the real world. The proposed new approaches are strongly based on the concept of human sense of movement by Alain Berthoz, a key partner in this proposal.
  • acoustic SCene ANalysis for Detecting Living Entities

    Analysing fine motor activity in articulatory structures of humans or animals in combination with the sounds they emit yields information about their intentions and likely future actions. In this project we propose to develop a cognitive acoustic scene analysis system that is able to synthesize composite representations of animate entities and their behaviour by integrating information from active and passive sound signatures; i.e.
  • Active Constraints Technologies for Ill-defined or Volatile Environments

    The ACTIVE project exploits ICT and other engineering methods and technologies for the design and development of an integrated redundant robotic platform for neurosurgery. A light and agile redundant robotic cell with 20 degrees-of-freedom (DoFs) and an advanced processing unit for pre- and intra-operative control will operate both autonomously and cooperatively with surgical staff on the brain, a loosely structured environment.
  • Adaptive Modular Architecture for Rich Motor Skills

    Compared to animals and humans, the motor skills of today's robots still must be qualified as poor.
  • Adaptive Strategies for Sustainable Long-Term Social Interaction

    The goal of ALIZ-E is to develop methods for developing and testing interactive, mobile robots which will be able to interact with human users over extended periods of time, i.e. a possibly non-continuous succession of interactions which can refer back to, and build forth on, previous experiences.To achieve this aim, ALIZ-E will address three related issues in developing interactive robots capable of self-sustaining medium- to long-term autonomous operation in real-world indoor environments.
  • Aerial Robotics Cooperative Assembly System

    The ARCAS project proposes the development and experimental validation of the first cooperative free-flying robot system for assembly and structure construction.
  • Application of an unmanned surface vessel with ultrasonic, environmentally friendly system to (map and) control blue-green algae (Cyanobacteria)

    Through the DRONIC project, the consortium will showcase a new, innovative blue-green algae (cyanobacteria) monitoring and treatment robotic system, that can localize hotpots of blue-green algae blooms and only treats the part of the lake which is experiencing blue-green algae bloom.
  • Artificial Fish Locomotion and Sensing

    The overall aim of FILOSE is acquiring a deeper understanding of the principles underlying fish locomotion and sensing, in order to develop new technologies for underwater vehicles on the basis of biological evidence. More specifically, FILOSE focuses on shedding light on how fish exploit lateral line sensing in underwater environments.
  • Artificial Language Evolution on Autonomous Robots

    This tightly integrated focused project aims at fundamental breakthroughs in understanding and synthesising the mechanisms achieving cognition and language. It engages in carefully controlled experiments in which autonomous humanoid robots self-organise rich conceptual frameworks and communication systems with similar features as those found in human languages.
  • autoNomous, self-Learning, OPTImal and compLete Underwater Systems

    Current multi-AUV systems are far from being capable of fully autonomously taking over real-life complex situation-awareness operations. As such operations require advanced reasoning and decision-making abilities the current designs have to heavily rely on human operators.
  • Balance Augmentation in Locomotion, through Anticipative, Natural and Cooperative control of Exoskeletons

    The goal of this project is to realize an exoskeletal robot that improves the balance performance of humans, targeted at users facing balance-challenging conditions or suffering from a lack of ability to walk or maintain balance during walking. The proposed exoskeleton will know the difference between the onset of a fall and an intentional change of walking pattern, such as a turn, or a step/stair and only when necessary will it act to maintain postural balance.
  • Best Practice in Robotics

    BRICS addresses a very urgent need of the research community, namely the need for common research platforms, which support integration of research results and which support the evaluation, comparison and benchmarking of result and the promotion of best practice in robotics.
  • Bringing Machine Translation for European Languages to the User

    Europe faces a growing economic and societal challenge due to its vast diversity of languages, and machine translation (MT) technology holds promise as a means to address this challenge.
  • Clearing Clutter Bit by Bit

    Clutter in an open world is a challenge for many aspects of robotic systems, especially for autonomous robots deployed in unstructured domestic settings, affecting navigation, manipulation, vision, human robot interaction and planning.<br/>SQUIRREL addresses these issues by actively controlling clutter and incrementally learning to extend the robot's capabilities while doing so.
  • Clothes Perception and Manipulation

    This project aims to advance the state of the art in the autonomous perception and manipulation of all kinds of fabrics, textiles and garments.The novelty and uniqueness of this project is due chiefly to its generality. Various garments will be presented in a random pile on an arbitrary background and novel ways of manipulating them (sorting, folding, etc.) will be learned on demand in a real-life dynamic environment.
  • CogLaboration. Successful Real World Human-Robot Collaboration: From the Cognition of Human-Human\nCollaboration to the Cognition of Fluent Human-Robot Collaboration

    This project focuses on the object transfer procedure between a robot and a human, considered to be a key aspect to be addressed in order to provide successful and efficient robotic assistance to humans.Current techniques of human-robot object transfer usually consist in following a trajectory completely defined before the motion starts, limiting thus the capacity to adapt the motion plan to the uncontrolled human behavior.
  • Cognitive and Flexible learning system \noperating Robust Interpretation of Extended real sceNes \nby multi-sensors Datafusion

    Co-FRIEND aims to design a framework for understanding human activities in real environments, through an artificial cognitive vision system, identifying objects and events, and extracting sense from scene observation. It will manage uncertainty and change, and will create analysis meaning. A heterogeneous sensor network (wide angle and PTZ cameras in airport immediate area, and GPS wide area vehicle monitoring) will be deployed on Toulouse AIRPORT by SILOGIC and READING.