Search results for "Human-robot collaboration"

showing 3 items of 3 documents

What Will You Do Next? A Cognitive Model for Understanding Others’ Intentions Based on Shared Representations

2013

Goal-directed action selection is the problem of what to do next in order to progress towards goal achievement. This problem is computationally more complex in case of joint action settings where two or more agents coordinate their actions in space and time to bring about a common goal: actions performed by one agent influence the action possibilities of the other agents, and ultimately the goal achievement. While humans apparently effortlessly engage in complex joint actions, a number of questions remain to be solved to achieve similar performances in artificial agents: How agents represent and understand actions being performed by others? How this understanding influences the choice of ag…

Cognitive modelCognitive scienceKnowledge managementProcess (engineering)Computer sciencebusiness.industryAction selectionTask (project management)Joint actionAction (philosophy)Order (exchange)Computational models of cogntion Human-robot collaboration Joint action Motor simulation Shared representationsGoal achievementbusiness
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Inferring intentions through state representations in cooperative human-robot environments

2014

Humans and robots working safely and seamlessly together in a cooperative environment is one of the future goals of the robotics community. When humans and robots can work together in the same space, a whole class of tasks becomes amenable to automation, ranging from collaborative assembly to parts and material handling to delivery. Proposed standards exist for collaborative human-robot safety, but they focus on limiting the approach distances and contact forces between the human and the robot. These standards focus on reactive processes based only on current sensor readings. They do not consider future states or task-relevant information. A key enabler for human-robot safety in cooperative…

Human-robot collaborationOntology[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]Intention recognitionBayesian[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]KittingReconnaissance de l'intentionManufacturingState relationsRCC8[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]SimulationUSARSim
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Intention recognition in manufacturing applications

2015

In this article, we present a novel approach to intention recognition, based on the recognition and representation of state information in a cooperative human-robot environment. States are represented by a combination of spatial relations along with cardinal direction information. The output of the Intention Recognition Algorithms will allow a robot to help a human perform a perceived operation or, minimally, not cause an unsafe situation to occur. We compare the results of the Intention Recognition Algorithms to those of an experiment involving human subjects attempting to recognize the same intentions in a manufacturing kitting domain. In almost every case, results show that the Intention…

Human-robot collaborationOntologybusiness.industryComputer scienceGeneral MathematicsManufacturing kittingRoboticsIntention recognitionRoboticsOntology (information science)Industrial and Manufacturing EngineeringComputer Science ApplicationsDomain (software engineering)Task (project management)Spatial relationControl and Systems EngineeringHuman–computer interactionRobotArtificial intelligenceState recognitionbusinessRepresentation (mathematics)SoftwareCardinal directionRobotics and Computer-Integrated Manufacturing
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