The project develops an Interactive Urban Robot exploring cities by interacting with the pedestrians – asking the way: understands natural speech, gestures and emotions of the human, navigates autonomously in crowded environments.
PIROS aims to advance robot technology via synergetic integration of new control strategies that adapt on the fly system compliance and/or performance specifications, taking into account intrinsic physical system properties, task requirements and unforeseen events. High level tasks including object grasping, manipulation and pHRI combining high performance quality, robustness and safety.
EnNOISIS develops a novel patient-doctor cooperative framework for prediction, diagnosis, care and support of MCI and AD patients, involving domestic daily activities monitoring through ambient environment sensors.
Grasp Stabilization and Control (GSC). GSC makes it possible to use an advanced manipulator out of the box in most situations. Based on an incoming 3D point cloud, a segmentation algorithm is first applied. Once the user selects which objects she wants to grasp, a recognition algorithm is run on the cluster to try to identify the object from a database of previously learned objects. If the object is recognised, then a list of pre-computed grasps is loaded. If the object is not recognised, then a list of possible grasps are computed based on a mesh reconstructed from the segmented point cloud. Based on this list of grasps, the GSC framework then selects the best possible grasp automatically and executes it carefully.
How teachers, learners and technologies can support one another in hands-on learning of science, technology, engineering and math. Hands on experiments have been a big part of science teaching for as long as anyone can remember, but how to model and analyse these practice, while empowering teachers, is far less understood. PELARS will find ways of generating analytics which helps learners and teachers by providing feedback from hands-on, project-based and experiential learning situations.
Design of a portable equipment based on IMU and EMG for the analysis of biomechanical fatigue during working conditions, and machine learning based modeling of actions.
CoTeSys stands for "Cognition for Technical Systems". Cognitive capabilities such as perception, reasoning, learning, and planning turn technical systems into systems that "know what they are doing". Starting from the human brain the Cluster of Excellence "CoTeSys" investigates cognition for technical systems such as vehicles, robots, and factories. Technical systems that are cognitive will be much easier to interact and cooperate with, and will be more robust, flexible, and efficient.
Mobility disabilities are prevalent in our ageing society and impede activities important for the independent living of elderly people and their quality of life. The MOBOT project aims at supporting mobility and thus enforcing fitness and vitality by developing intelligent active mobility assistance robots for indoor environments that provide user-centred, context-adaptive and natural support. Our driving concept envisions cognitive robotic assistants that act (a) proactively by realizing an autonomous and context-specific monitoring of human activities and by subsequently reasoning on meaningful user behavioural patterns, as well as (b) adaptively and interactively, by analysing multi-sensory and physiological signals related to gait and postural stability, and by performing adaptive compliance control for optimal physical support and active fall prevention.
The complexity of the world around us is creating a demand for cognition-enabled interfaces that will simplify and enhance the way we interact with the environment. Project WEARHAP, aims at laying the scientific and technological foundations for wearable haptics, a novel concept for the systematic exploration of haptics in advanced cognitive systems and robotics that will redefine the way humans will cooperate with robots. The challenge of this new paradigm stems from the need for wearability which is a key element for natural interaction. This paradigm shift will enable novel forms of human intention recognition through haptic signals and novel forms of communication and cooperation between humans and robots. Wearable haptics will enable robots to observe humans during natural interaction with their shared environment.
CON-HUMO focuses on novel concepts for automatic control, based on data-driven human models and machine learning. This enables innovative control applications that are difficult if not impossible to realize using traditional control and identification methods, in particular in the challenging area of smart human-machine interaction. In order to achieve intuitive and efficient goal-oriented interaction, anticipation is a key. For control selection based on prediction, a dynamic model of the human interaction behavior is required, which, however, is difficult to obtain from first principles.
SKILLS is an Integrated Project in the framework of european IST FP6 strategic objective named “Multimodal Interfaces” and deals with the acquisition, interpretation, storing and transfer of human skill by means of multimodal interfaces, Robotics, Virtual Environments (VE) technologies and Interaction Design methodologies.
The goal of the HOBBIT project was "to advance towards a robot solution that will enhance wellness and quality of life for seniors, and enhance their ability to live independently for longer at their homes." The focus of HOBBIT was the development of the mutual care concept: building a relationship between the human and the robot in which both take care for each other. Like when a person learns what an animal understands and can do; similar to building a bond with a pet. A main task of the robot is fall prevention and detection.
Psychological stress contributes to many chronic diseases suffered by citizens in today’s society. Exposure to prolonged stress is known to increase the risk of physical and mental health problems, including depression and disabling anxiety conditions. In particular, work-related stress is becoming a major occupational health problem: 80 % of the working population across Europe think that the number of people suffering from job-related stress over the next five years will increase. The economic impact of stress is also huge: in 2002, the annual economic cost of work-related stress in the EU was estimated at EUR 20 billion.
The INTERSTRESS project aimed at developing innovative ICT-based solutions for addressing the problem of psychological stress in professional and social life. From a technological standpoint, the project involves a combination of virtual reality, non-invasive biosensors and mobile tools to provide personalised healthcare devices for stress prevention and management. The specific objectives of this approach are: (1)quantitative and objective assessment of symptoms using biosensors and behavioural analysis; (2) decision support for treatment planning through data fusion and detection algorithms; and (3) provision of warnings and motivating feedback to improve compliance and long-term outcome.
VERITAS aims to developed, validated and assessed tools for built-in accessibility support of ICT and non-ICT products under a holistic framework. The objective of the project was to introduce simulation-based and virtual-reality testing at all designing stages of assistive technologies products in 5 application areas: automotive, smart living places, workplace, health and wellbeing, and infotainment.
VERITAS wants to ensure that future products are systematically designed for all, including people with disabilities and older people and took the first steps to promote its results to the appropriate standards organisations for consideration and potential adoption.