Essays about: "mobile robot navigation"
Showing result 1 - 5 of 36 essays containing the words mobile robot navigation.
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1. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. READ MORE
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2. 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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3. FPGA Implementation of Feature Matching in ORB-SLAM2
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Simultaneous Localization And Mapping (SLAM) is an important component in solving the problem of autonomous navigation — allowing machines such as selfdriving cars and mobile robots to find their way in the world without human instruction. Though there is a steadily growing body of literature in the field of SLAM, far fewer works currently address using hardware acceleration to speed up this computationally heavy task. READ MORE
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4. Navigation with variable point of reference for 3DOF differential drive mobile robot
University essay from Mälardalens högskola/Akademin för innovation, design och teknikAbstract : In this thesis, a kinematic model for controlling an Omni-directional 3 DOF DDR with an external navigation point is presented. Two different dynamic models for investigating the resulting torque on the three active motors on the robot are also developed and validated. READ MORE
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5. Deep Reinforcement Learning for Complete Coverage Path Planning in Unknown Environments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Mobile robots must operate autonomously, often in unknown and unstructured environments. To achieve this objective, a robot must be able to correctly per- ceive its environment, plan its path, and move around safely, without human su- pervision. Navigation from an initial position to a target location has been a chal- lenging problem in robotics. READ MORE