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The Robotarium: A remotely accessible swarm robotics research testbed
This paper describes the Robotarium — a remotely accessible, multi-robot research facility. The impetus behind the Robotarium is that multi-robot testbeds constitute an integral and essential part ofExpand
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Safe Learning of Quadrotor Dynamics Using Barrier Certificates
To effectively control complex dynamical systems, accurate nonlinear models are typically needed. However, these models are not always known. In this paper, we present a data-driven approach based onExpand
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Permissive Barrier Certificates for Safe Stabilization Using Sum-of-squares
Motivated by the need to simultaneously guarantee safety and stability of safety-critical dynamical systems, we construct permissive barrier certificates in this paper that explicitly maximize theExpand
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Safe, Remote-Access Swarm Robotics Research on the Robotarium
This paper describes the development of the Robotarium -- a remotely accessible, multi-robot research facility. The impetus behind the Robotarium is that multi-robot testbeds constitute an integralExpand
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Hierarchical Deep Multiagent Reinforcement Learning
Despite deep reinforcement learning has recently achieved great successes, however in multiagent environments, a number of challenges still remain. Multiagent reinforcement learning (MARL) isExpand
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An efficient hierarchical authentication scheme in mobile IPv6 networks
Abstract In order to cope with the critical issues causing by appending the authentication, authorization, accounting (AAA) function with the mobile IPv6 handover process, such as the longer delay ofExpand
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Aesthetic and family frames in the online sharing of children’s birthday photos
This article reports on a social semiotic investigation into children’s birthday photo sharing and textual interaction in the public photo sharing website Flickr.com; the analysis shows that theExpand
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Preference-Based Spectrum Pricing in Dynamic Spectrum Access Networks
With market-driven secondary spectrum trading, licensed users can receive benefits in terms of monetary rewards or various transmission services, thus setting a fair pricing structure by suitablyExpand
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Network Intrusion Detection Using Support Vector Machine Based on Particle Swarm Optimization
As an important part of the study of network security, Intrusion detection has aroused special attention of scholars from home and abroad. PSO-based SVM network intrusion detection is innovativelyExpand
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