Sökning: "Deep Reinforcement Learning Mobile Robot Navigation Human Environment"

Hittade 4 uppsatser innehållade orden Deep Reinforcement Learning Mobile Robot Navigation Human Environment.

1. 1. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Victor Sanchez; [2023]
   Nyckelord :Deep Reinforcement Learning; Environment-aware navigation; Robotics; Artificial Intelligence; Apprentissage par renforcement profond; Navigation consciente de l’humain; Intelligence Artificielle; Robotique; Djup Förstärkande Inlärning; Människomedveten navigering; Robotik; Artificiell Intelligens;

   Sammanfattning : 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. LÄS MER

3. 2. Deep Reinforcement Learning for Mapless Mobile Robot Navigation

   Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Ameer Hamza; [2022]
   Nyckelord :Mobile Robot; DRL; Deep Learning; Navigation; Mapless;

   Sammanfattning : 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. LÄS MER

4. 3. Deep Reinforcement Learning for Complete Coverage Path Planning in Unknown Environments

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Omar Boufous; [2020]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER

5. 4. Navigation of Mobile Robots in Human Environments with Deep Reinforcement Learning

   Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

   Författare :Benjamin Coors; [2016]
   Nyckelord :Deep Reinforcement Learning Mobile Robot Navigation Human Environment;

   Sammanfattning : For mobile robots which operate in human environments it is not sufficient to simply travel to their target destination as quickly as possible. Instead, mobile robots in human environments need to travel to their destination safely,  keeping a comfortable distance to humans and not colliding with any obstacles along the way. LÄS MER