Výsledky vyhledávání - computing methodologies artificial intelligence control methods (robotica OR robotics) planning

  1. 1

    Collision Prediction for Robotics Accelerators Autor Shah, Deval, Aamodt, Tor M.

    Vydáno: IEEE 29.06.2024
    “…Motion planning in dynamic environments is an important task for autonomous robotics…”
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  2. 2

    FedLight: Federated Reinforcement Learning for Autonomous Multi-Intersection Traffic Signal Control Autor Ye, Yutong, Zhao, Wupan, Wei, Tongquan, Hu, Shiyan, Chen, Mingsong

    Vydáno: IEEE 05.12.2021
    “…Although Reinforcement Learning (RL) has been successfully applied in traffic control, it suffers from the problems of high average vehicle travel time and slow convergence to optimized solutions…”
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  3. 3

    MROS: A framework for robot self-adaptation Autor Silva, Gustavo Rezende, Garcia, Nadia Hammoudeh, Bozhinoski, Darko, Deshpande, Harshavardhan, Oviedo, Mario Garzon, Wasowski, Andrzej, Montero, Mariano Ramirez, Corbato, Carlos Hernandez

    ISSN: 2574-1934
    Vydáno: IEEE 01.05.2023
    “… This work describes the Metacontrol method for self-adaptation in robotics. Particularly, it details how the MROS…”
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  4. 4

    PartwiseMPC: Interactive Control of Contact‐Guided Motions Autor Khoshsiyar, N., Gou, R., Zhou, T., Andrews, S., van de Panne, M.

    ISSN: 0167-7055, 1467-8659
    Vydáno: Oxford Blackwell Publishing Ltd 01.12.2024
    Vydáno v Computer graphics forum (01.12.2024)
    “… First, we introduce a novel partwise model predictive control (MPC) method that exploits independent planning for body parts when this proves beneficial, while defaulting to whole…”
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  5. 5

    Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems Autor Wan, Zishen, Anwar, Aqeel, Hsiao, Yu-Shun, Jia, Tianyu, Reddi, Vijay Janapa, Raychowdhury, Arijit

    Vydáno: IEEE 05.12.2021
    “…Learning-based navigation systems are widely used in autonomous applications, such as robotics, unmanned vehicles and drones…”
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  6. 6

    Cocktail: Learn a Better Neural Network Controller from Multiple Experts via Adaptive Mixing and Robust Distillation Autor Wang, Yixuan, Huang, Chao, Wang, Zhilu, Xu, Shichao, Wang, Zhaoran, Zhu, Qi

    Vydáno: IEEE 05.12.2021
    “… In this work, we propose COCKTAIL, a novel design framework that automatically learns a neural network based controller from multiple existing control methods (experts…”
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  7. 7

    Solving the multi-objective path planning problem in mobile robotics with a firefly-based approach Autor Hidalgo-Paniagua, Alejandro, Vega-Rodríguez, Miguel A., Ferruz, Joaquín, Pavón, Nieves

    ISSN: 1432-7643, 1433-7479
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2017
    Vydáno v Soft computing (Berlin, Germany) (01.02.2017)
    “…Currently, autonomous robotics is one of the most interesting and researched areas of technology…”
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  8. 8

    Regional feature fusion for on-road detection of objects using camera and 3D-LiDAR in high-speed autonomous vehicles Autor Wu, Qingyu, Li, Xiaoxiao, Wang, Kang, Bilal, Hazrat

    ISSN: 1432-7643, 1433-7479
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2023
    Vydáno v Soft computing (Berlin, Germany) (01.12.2023)
    “… Therefore in this study, a novel object detection method is presented that fuses the complementary information of 2D and 3D object detection to accurately detect objects in autonomous vehicles…”
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  9. 9

    Relaxed Dijkstra and A with linear complexity for robot path planning problems in large-scale grid environments Autor Ammar, Adel, Bennaceur, Hachemi, Châari, Imen, Koubâa, Anis, Alajlan, Maram

    ISSN: 1432-7643, 1433-7479
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2016
    Vydáno v Soft computing (Berlin, Germany) (01.10.2016)
    “…Although there exist efficient methods to determine an optimal path in a graph, such as Dijkstra…”
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  10. 10

    EffBT: An Efficient Behavior Tree Reactive Synthesis and Execution Framework Autor Wu, Ziji, Huang, Yu, Huang, Peishan, Wen, Shanghua, Li, Minglong, Wang, Ji

    ISSN: 1558-1225
    Vydáno: IEEE 26.04.2025
    “…Behavior Trees (BTs), originated from the control of Non-Player-Characters (NPCs), have been widely embraced in robotics and software engineering communities due to their modularity, reactivity, and other beneficial characteristics…”
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  11. 11

    Social Momentum: A Framework for Legible Navigation in Dynamic Multi-Agent Environments Autor Mavrogiannis, Christoforos I., Thomason, Wil B., Knepper, Ross A.

    ISBN: 9781450349536, 1450349536
    ISSN: 2167-2148
    Vydáno: New York, NY, USA ACM 26.02.2018
    “…Intent-expressive robot motion has been shown to result in increased efficiency and reduced planning efforts for copresent humans…”
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  12. 12

    A Pythagorean cubic fuzzy methodology based on TOPSIS and TODIM methods and its application to software selection problem Autor Seker, Sukran, Kahraman, Cengiz

    ISSN: 1432-7643, 1433-7479
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2022
    Vydáno v Soft computing (Berlin, Germany) (01.03.2022)
    “… This paper develops a new hybrid multi-criteria decision-making (MCDM) method to select the most efficient vendor-supplied software package which is used in all business…”
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  13. 13

    Four-Dimensional Path Planning Methodology for Collaborative Robots Application in Industry 5.0 Autor Chouridis, Ilias, Mansour, Gabriel, Papageorgiou, Vasileios, Mansour, Michel Theodor, Tsagaris, Apostolos

    ISSN: 2218-6581, 2218-6581
    Vydáno: Basel MDPI AG 01.04.2025
    Vydáno v Robotics (Basel) (01.04.2025)
    “… Its central pillar is the collaboration between robots and humans. Path planning is a major challenge in robotics…”
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  14. 14

    GARL: Genetic Algorithm-Augmented Reinforcement Learning to Detect Violations in Marker-Based Autonomous Landing Systems Autor Liang, Linfeng, Deng, Yao, Morton, Kye, Kallinen, Valtteri, James, Alice, Seth, Avishkar, Kuantama, Endrowednes, Mukhopadhyay, Subhas, Han, Richard, Zheng, Xi

    ISSN: 1558-1225
    Vydáno: IEEE 26.04.2025
    “… It involves detecting landing targets, perceiving obstacles, planning collision-free paths, and controlling UAV movements for safe landing…”
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  16. 16

    Linking granular computing, big data and decision making: a case study in urban path planning Autor Li, Xiang, Zhou, Jiandong, Pedrycz, Witold

    ISSN: 1432-7643, 1433-7479
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2020
    Vydáno v Soft computing (Berlin, Germany) (01.05.2020)
    “…Granular computing, an emerging information processing paradigm transforming complex data into information granules at different scales so that different features and regularities can be revealed…”
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  17. 17

    An improved ant colony algorithm for robot path planning Autor Liu, Jianhua, Yang, Jianguo, Liu, Huaping, Tian, Xingjun, Gao, Meng

    ISSN: 1432-7643, 1433-7479
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2017
    Vydáno v Soft computing (Berlin, Germany) (01.10.2017)
    “…To solve the problems of convergence speed in the ant colony algorithm, an improved ant colony optimization algorithm is proposed for path planning of mobile robots in the environment…”
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  18. 18

    Tech-center location selection by interval-valued spherical fuzzy AHP based MULTIMOORA methodology Autor Otay, İrem

    ISSN: 1432-7643, 1433-7479
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2023
    Vydáno v Soft computing (Berlin, Germany) (01.08.2023)
    “…Intense market competition, changes in demand structure and acceleration in the technological developments have led companies to offer innovative and…”
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  19. 19

    An energy-saving path planning method using adaptive ant colony system for marine surface vehicles Autor Dong, Liangxiong, Gan, Xinhua

    ISSN: 1432-7643, 1433-7479
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2024
    Vydáno v Soft computing (Berlin, Germany) (01.05.2024)
    “…Given the need for ship emission reduction and the energy constraints of unmanned surface vehicles, it is imperative to develop an efficient ship path planning method that incorporates energy-saving considerations…”
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  20. 20

    Multi-objective optimal path planning using elitist non-dominated sorting genetic algorithms Autor Ahmed, Faez, Deb, Kalyanmoy

    ISSN: 1432-7643, 1433-7479
    Vydáno: Berlin/Heidelberg Springer-Verlag 01.07.2013
    Vydáno v Soft computing (Berlin, Germany) (01.07.2013)
    “…A multi-objective vehicle path planning method has been proposed to optimize path length, path safety, and path smoothness using the elitist non-dominated sorting genetic algorithm…”
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