In the field of autonomous robots,achieving complete precision is challenging,underscoring the need for human intervention,particularly in ensuring safety.Human Autonomy Teaming(HAT)is crucial for promoting safe and e...In the field of autonomous robots,achieving complete precision is challenging,underscoring the need for human intervention,particularly in ensuring safety.Human Autonomy Teaming(HAT)is crucial for promoting safe and efficient human-robot collaboration in dynamic indoor environments.This paper introduces a framework designed to address these precision gaps,enhancing safety and robotic interactions within such settings.Central to our approach is a hybrid graph system that integrates the Generalized Voronoi Diagram(GVD)with spatio-temporal graphs,effectively combining human feedback,environmental factors,and key waypoints.An integral component of this system is the improved Node Selection Algorithm(iNSA),which utilizes the revised Grey Wolf Optimization(rGWO)for better adaptability and performance.Furthermore,an obstacle tracking model is employed to provide predictive data,enhancing the efficiency of the system.Human insights play a critical role,from supplying initial environmental data and determining key waypoints to intervening during unexpected challenges or dynamic environmental changes.Extensive simulation and comparison tests confirm the reliability and effectiveness of our proposed model,highlighting its unique advantages in the domain of HAT.This comprehensive approach ensures that the system remains robust and responsive to the complexities of real-world applications.展开更多
With the rapid development of information and communication technology （ICT） and sensor technology, ubiquitous computing （or pervasive computing） has become widely used with much convenience to human life. For ins...With the rapid development of information and communication technology （ICT） and sensor technology, ubiquitous computing （or pervasive computing） has become widely used with much convenience to human life. For instance, people can use their electronic devices at hand （e.g., Google glasses or Apple watch） to access information they need. However, this ＇~ubiquitous＂ service poses challenges to human autonomy. Based on the analysis of the features of pervasive computing, this paper points out the ambiguity between the subject and object of ubiquitous computing and shows technological interventions can affect human autonomy at three levels： technology addiction, the degradation of human capacities, and the reversal of the end and the means caused by the fuzziness of ma^-machine interface. In other words, ubiquitous computing gives people unprecedented convenience, and it also deprives of their freedom. According to Kant＇s Theory of Freedom, this article reflects on the relationship between the autonomy of technology and that of humankind.展开更多
基金supported by the Mississippi Space Grant Consortium under NASA EPSCoR RID grant.
文摘In the field of autonomous robots,achieving complete precision is challenging,underscoring the need for human intervention,particularly in ensuring safety.Human Autonomy Teaming(HAT)is crucial for promoting safe and efficient human-robot collaboration in dynamic indoor environments.This paper introduces a framework designed to address these precision gaps,enhancing safety and robotic interactions within such settings.Central to our approach is a hybrid graph system that integrates the Generalized Voronoi Diagram(GVD)with spatio-temporal graphs,effectively combining human feedback,environmental factors,and key waypoints.An integral component of this system is the improved Node Selection Algorithm(iNSA),which utilizes the revised Grey Wolf Optimization(rGWO)for better adaptability and performance.Furthermore,an obstacle tracking model is employed to provide predictive data,enhancing the efficiency of the system.Human insights play a critical role,from supplying initial environmental data and determining key waypoints to intervening during unexpected challenges or dynamic environmental changes.Extensive simulation and comparison tests confirm the reliability and effectiveness of our proposed model,highlighting its unique advantages in the domain of HAT.This comprehensive approach ensures that the system remains robust and responsive to the complexities of real-world applications.
文摘With the rapid development of information and communication technology （ICT） and sensor technology, ubiquitous computing （or pervasive computing） has become widely used with much convenience to human life. For instance, people can use their electronic devices at hand （e.g., Google glasses or Apple watch） to access information they need. However, this ＇~ubiquitous＂ service poses challenges to human autonomy. Based on the analysis of the features of pervasive computing, this paper points out the ambiguity between the subject and object of ubiquitous computing and shows technological interventions can affect human autonomy at three levels： technology addiction, the degradation of human capacities, and the reversal of the end and the means caused by the fuzziness of ma^-machine interface. In other words, ubiquitous computing gives people unprecedented convenience, and it also deprives of their freedom. According to Kant＇s Theory of Freedom, this article reflects on the relationship between the autonomy of technology and that of humankind.
