Descripción del proyecto
Cognitive Systems and Robotics
The CogLaboration project focuses on the object transfer procedure between a robot and a human, 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.
CogLaboration will deliver a complete robotic system with the cognitive capacities needed for successful and safe 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. Furthermore, the robotic arm motions usually do not rely on characteristics of the human motion dynamics, while the object transfer itself is generally realized without using sensing information as the human does with his hand.CogLaboration proposes to address this challenge by achieving three objectives. First, we will study the quantitative and qualitative characteristics of successful human-human object exchange in realistic task settings and conditions, including typical variations and unplanned and unanticipated situations. This observation aims to characterize the arm and hand trajectories, the force applied onto the object during the exchange, the visual information used to correct the motion, and the way gestures are used to provide information or trigger the exchange procedure. Second, we will develop a hierarchical control architecture based on state-of-the-art concepts from cognitive neurosciences and exploiting the key-characteristics of the human-human exchange to provide the robot with the required cognitive abilities. Third, we will build a vision-driven robotic system comprising a lightweight arm and a hand with tactile sensors and evaluate it against the same metrics that we will have derived from our studies of object exchange between humans. This evaluation will follow a scenario-driven methodology, through the definition of two detailed scenarios considering work and home settings.CogLaboration will thus deliver a complete robotic system with the cognitive capacities needed for successful and safe human-robot collaboration.
Ámbito científico
- natural sciencesbiological sciencesneurobiologycognitive neuroscience
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
Convocatoria de propuestas
FP7-ICT-2011-7
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Régimen de financiación
CP - Collaborative project (generic)Coordinador
33428 LLANERA ASTURIAS
España