首页|Recent Studies from University Grenoble Alpes Add New Data to Robotics (Planning Socially Expressive Mobile Robot Trajectories)
Recent Studies from University Grenoble Alpes Add New Data to Robotics (Planning Socially Expressive Mobile Robot Trajectories)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on robotics have been published. According to news reporting out of Grenoble, France, by NewsRx editors, research stated, "Many mobile robotics applications require robots to n avigate around humans who may interpret the robot's motion in terms of social at titudes and intentions." The news reporters obtained a quote from the research from University Grenoble A lpes: "It is essential to understand which aspects of the robot's motion are rel ated to such perceptions so that we may design appropriate navigation algorithms . Current works in social navigation tend to strive towards a single ideal style of motion defined with respect to concepts such as comfort, naturalness, or leg ibility. These algorithms cannot be configured to alter trajectory features to c ontrol the social interpretations made by humans. In this work, we firstly prese nt logistic regression models based on perception experiments linking human perc eptions to a corpus of linear velocity profiles, establishing that various traje ctory features impact human social perception of the robot. Secondly, we formula te a trajectory planning problem in the form of a constrained optimization, usin g novel constraints that can be selectively applied to shape the trajectory such that it generates the desired social perception."
University Grenoble AlpesGrenobleFra nceEuropeEmerging TechnologiesMachine LearningRobotRobotics
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