Essays about: "robust robot navigation"
Showing result 1 - 5 of 9 essays containing the words robust robot navigation.
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1. Autonomous 3D exploration with dynamic obstacles : Towards Intelligent Navigation and Collision Avoidance for Autonomous 3D Exploration with dynamic obstacles
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : The advancements within robotics in recent years has increased the demand for sophisticated algorithms that can tackle the challenges associated with building robust and safe autonomous systems. The objective of 3D exploration is to enable a robot to explore an unknown environment with a high degree of accuracy while minimizing time and path length. READ MORE
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2. Robust Graph SLAM in Challenging GNSS Environments Using Lidar Odometry
University essay from Linköpings universitet/ReglerteknikAbstract : Localization is a fundamental part of achieving fully autonomous vehicles. A localization system needs to constantly provide accurate information about the position of the vehicle and failure could lead to catastrophic consequences. READ MORE
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3. Deep Reinforcement Learning for Mapless Mobile Robot Navigation
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Navigation is the fundamental capability of mobile robots which allows them to move fromone point to another without any human interference. The autonomous operation of theserobots is depended on reliable, robust, and intelligent navigation system. READ MORE
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4. Comparison of autonomous waypoint navigation methods for an indoor blimp robot
University essay from KTH/MekatronikAbstract : The Unmanned Aerial Vehicle (UAV) has over the last years become an increasingly prevalent technology in several sectors of modern society. Many UAVs are today used in a wide series of applications, from disaster relief to surveillance. A recent initiative by the Swedish Sea Rescue Society (SSRS) aims to implement UAVs in their emergency response. READ MORE
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5. Autonomous Identification of Human Activity Regions
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : Human activity regions (HARs) are human-centric semantic partitions where observing and/or interacting with humans is likely in indoor environments. HARs are useful for achieving successful human-robot interaction, such as in safe navigation around a building or to know where to be able to assist humans in their activities. READ MORE