Now showing items 1-20 of 3848

    • Valuing Passes in Actions Leading to the Third Zone on the Pitch with Machine Learning Methods 

      Tylka, Mateusz; Wałęsa, Sebastian; Girejko, Kornelia; Kaczmarek, Jakub; Grzelak, Bartłomiej; Piłka, Tomasz (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
      In football, the ability to make accurate and effective passes to the third zone of the pitch is a key aspect of a team’s success. Evaluating these passes can provide valuable information about a team’s performance and ...
    • On the Selection of a Machine Learning model in TinyML Devices – Preliminary Study 

      Puślecki, Tobiasz; Walkowiak, Krzysztof (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
      The expected development of TinyML-related technologies will necessitate the development of methods for efficient use of energy resources. In this article, we present preliminary study of machine learning (ML) model selection ...
    • On the Importance of the RGB-D Sensor Model in the CNN-based Robotic Perception 

      Zieliński, Mikołaj; Belter, Dominik (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
      Mobile and manipulation robots operating indoors use RGB-D cameras as the environment perception sensors. To process data from RGB and depth cameras neural networks are applied. These neural-based systems are trained ...
    • On Parameters of Migration in PEA Computing 

      Biełaszek, Sylwia; Byrski, Aleksander (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
      Metaheuristics, such as evolutionary algorithms have been proven to be (also theoretically, see works of Vose [1]) universal optimization methods. Skolicki and DeJong [2] researched impact of migration intervals on ...
    • Lung Xray Images Analysis for COVID-19 Diagnosis 

      Kloska, Anna; Tarczewska, Martyna; Giełczyk, Agata; Marciniak, Beata (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
      Background: The SARS-CoV-2 pandemic began in early 2020. It paralyzed human life all over the world and threatened our security. Thus, proposing some novel and effective approaches to diagnosing COVID-19 infections ...
    • Hierarchical Distributed Cluster-based Method for Robotic Swarms 

      Mastej, Bartłomiej; Figat, Maksym (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
      The growing interest in autonomous systems inspired by nature has led to a major shift towards swarm robotics. The main characteristics of swarms are independence from global knowledge, scalability and relatively low ...
    • AMUseBot: Towards Making the Most out of a Task-oriented Dialogue System 

      Christop, Iwona; Dudzic, Kacper; Krzymiński, Mikołaj (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
      This paper presents AMUseBot, a task-oriented dialogue system designed to assist the user in completing multi-step tasks. Taking into consideration that the fundamental issues with such systems are poor user ratings and ...
    • AloneKnight – Enabling Affective Interaction within Mobile Video Games 

      Jemioło, Paweł; Świder, Krzysztof; Storman, Dawid; Adrian, Weronika T. (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
      Artificial intelligence is used in various contexts, including video games, where it can enhance the game design and adapt content to players’ emotional states through affective computing. In this paper, we present ...
    • Using Publicly Available Building Data to Improve 3D Map 

      Krygiel, Krzysztof; Majek, Karol; Będkowski, Janusz (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
      In this paper, we address the problem of 3D Map accuracy. No access to RTK GPS or LIDAR leads to poor accuracy of the map. High-rise buildings cause even greater trajectory errors. We used artificial intelligence methods ...
    • Semi-formal Methods for Security Informed Safety Assessment of Robotic Systems 

      Kharchenko, Vyacheslav; Abakumov, Artem; Yakovlev, Sergiy (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
    • Semantic Segmentation for Autonomous Drone Delivery SUADD’23 Challenge 

      Mrukwa, Anna; Majek, Karol (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
      The popularity of drones as well as other different flying devices remains undeterred for several years now, with various industries recognizing their usefulness in a range of applications. However, the effectiveness of ...
    • Predictive User Interface for Emerging Experiences 

      Kapusta, Paweł; Duch, Piotr (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
      This research paper focuses on the use of predictive techniques to improve interaction with user interfaces in emerging experiences such as Virtual Reality, Augmented Reality, Metaverse, and touchless kiosks and dashboards. ...
    • NeRF-based RGB-D Images Generation in Robotics – Experimental Study 

      Kulecki, Bartłomiej; Belter, Dominik (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
      Multiple learning-based algorithms in robotics require collecting RGB-D images of the scene from various viewpoints. These procedures are time-consuming, so many methods are trained using synthetic images. Recently, a ...
    • Mixing Synthetic and Real-world Datasets Strategy for Improved Generalization of the CNN 

      Młodzikowski, Kamil; Belter, Dominik (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
      In this paper, we deal with the problem of supervised training neural networks with an insufficient number of real-world training examples. We propose a method that at the beginning trains the neural network using a ...
    • Improving RGB-D Visual Odometry with Depth Learned from a Better Sensor’s Output 

      Kostusiak, Aleksander (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
      This paper compares the results obtained from an indoor Visual Odometry (VO) system with RGB-D images provided by a Kinect v1 camera against those achieved by a VO with enhanced depth channel. For this purpose, we have ...
    • Evolution of Robotic System Specification Methodology 

      Figat, Maksym; Zieliński, Cezary (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
      Design of robotic systems is a challenging task. More than 30 years ago some members of our team have embarked on a quest to find a general methodology for the design of any robotic system. Here we present the results ...
    • Intelligent Anticipatory Mobile Robot Networks for Autonomous Fruit Harvesting 

      Skulimowski, Andrzej M.J.; Karimi, Masoud (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
      A relevant class of decision problems solved by autonomous robots consists in deriving consensus strategies for coordinated group task performance. This paper presents preference models for the above consensus problems ...
    • Beacon-based Swarm Search and Rescue 

      Ratnayake, Sunil; Figat, Maksym (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
    • BDOT10k-seg: A Dataset for Semantic Segmentation 

      Kos, Aleksandra; Majek, Karol (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
      In this work, we describe BDOT10k-seg, a novel aerial dataset for semantic and instance segmentation. Our data covers almost the entire territory of Poland (314,000 km2) and provides precise pixel-level annotations for ...
    • A Reinforcement Learning Framework for Motion Planning of Autonomous Vehicles 

      Orłowski, Mateusz; Skruch, Paweł (Wydawnictwo Politechniki ŁódzkiejLodz University of Technology Press, 2023)
      The paper introduces a framework that has been developed for the design and verification of motion planning algorithms for autonomous driving. The framework allows for the use of reinforcement learning for autonomous driving ...