Repository logo
Communities & Collections
All of DSpace
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Pokatilov, Oleksandr"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    Item
    Obstacle detection system for ground robotic complex
    (National Aviation University, 2023-12-27) Pokatilov, Oleksandr; Покатілов, Олександр Володимирович
    In the rapidly evolving landscape of robotics and automation, the ability to navigate complex terrains and environments is paramount for ground-based robotic systems. These robots, whether deployed for industrial, agricultural, or exploratory purposes, often encounter a myriad of obstacles in their operational environments. The presence of such obstacles not only poses a risk to the robot's integrity but also to its surrounding environment and any humans in proximity. An effective obstacle detection system is, therefore, a critical component for ensuring the safe and efficient operation of these robotic complexes. Such systems employ a combination of sensors, algorithms, and computational techniques to identify and circumvent potential hindrances, allowing the robot to execute its tasks seamlessly. The significance of these systems is further underscored by the increasing integration of robots in urban settings, where the density of obstacles is considerably higher. This paper delves into the intricacies of designing and implementing an obstacle detection system tailored for ground-based robotic complexes. We will explore the current state-of-the-art technologies, challenges faced in real-world scenarios, and potential solutions to enhance the robustness and accuracy of these systems.

DSpace software copyright © 2002-2026 LYRASIS

  • Privacy policy
  • End User Agreement
  • Send Feedback