Essays about: "Automated Planning"

Showing result 1 - 5 of 102 essays containing the words Automated Planning.

  1. 1. Data-Driven Reachability Analysis of Pedestrians Using Behavior Modes : Reducing the Conservativeness in Data-Driven Pedestrian Predictions by Incorporating Their Behavior

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : August Söderlund; [2023]
    Keywords : Data-driven reachability analysis; Autonomous vehicles; Automated safety; Autonomous situational awareness; Datadriven nåbarhetsanalys; Autonoma fordon; Automatiserad säkerhet; Autonom situationsmedvetenhet;

    Abstract : Predicting the future state occupancies of pedestrians in urban scenarios is a challenging task, especially considering that conventional methods need an explicit model of the system, hence introducing data-driven reachability analysis. Data-driven reachability analysis uses data, inherently produced by an unknown system, to perform future state predictions using sets, generally represented by zonotopes. READ MORE

  3. 2. Developing High level Behaviours for the Boston Dynamics Spot Using Automated Planning

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Nisa Andersson; [2023]
    Keywords : Automated Planning; Boston Dynamics Spot; Public Safety; Automatic System; Collaborative Systems; Robotics;

    Abstract : Over the years, the Artificial Intelligence and Integrated Computer Systems (AIICS) Division at Linköping University has developed a high-level architecture for collaborative robotic systems that includes a delegation system capable of defining complex missions to be executed by a team of agents. This architecture has been used as a part of a research arena for developing and improving public safety and security using ground, aerial, surfaceand underwater robotic systems. READ MORE

  4. 3. Purchasing and digitalization in an era of turbulence

    University essay from Lunds universitet/Teknisk logistik

    Author : Vishal Natesan; Emil Sarajlic; [2023]
    Keywords : Supplying; digitisation; digitalization; Artificial Intelligence; Turbulence; Delivery performance; Duni Group; Technology and Engineering;

    Abstract : Abstract Title: Purchasing and digitalization in an era of turbulence Authors: Emil Sarajlic & Vishal Natesan Supervisor: Wilbert Baerwaldt, Director Sourcing and Value Chain at Duni AB Louise Bildsten, Department of Industrial Management & Logistics, Faculty of Engineering, Lund University Examiner: Jan Olhager, Department of Industrial Management & Logistics, Faculty of Engineering, Lund University Background: This research delves into the uncertainties and challenges encountered in global supply chain operations, exacerbated by unpredictable events such as the COVID-19 pandemic and the 2021 Suez Canal obstruction. These disruptions can lead to stock-outs, poor capacity utilization, and the need for expensive buffers. READ MORE

  5. 4. Deep Learning-Based Anomaly Detection for Predictive Maintenance of Cold Isostatic Press

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Joakim Nylander Nordström; [2023]
    Keywords : Machine Learning; Deep Learning; Predictive Maintenance; High Pressure Processing;

    Abstract : Predictive maintenance is an automated technique that analyses sensor data from industrial systems to enable downtime planning. Available for this study is unlabelled data from sensors placed in proximity to hydraulic system outlets of a cold isostatic press. READ MORE

  6. 5. Optimizing Production Material Flow in Smart Factories: A primary guiding model of Manual and Automated Equipment Selection : Case study in a Swedish battery factory

    University essay from Högskolan i Gävle/Industriell ekonomi

    Author : Albin Larsson; William Sjöö; [2023]
    Keywords : Smart factory; level of automation; LOA; logistics; material flow; pilot line;

    Abstract : Planning and management of logistics and material flow are widely studied and two key factors contributing to company competitiveness. Automation in material flow is recognized in efficient and profitable factories in the context of today’s smart industry, however, the operators are playing a significant role as well. READ MORE