AUTONOMOUS MOBILE ROBOT NAVIGATION DESIGN USING DEEP REINFORCEMENT LEARNING
Mobile robots are categorized as autonomous when they have the ability to well- navigate so that they can move from the starting point to the target without colliding the obstacles. A path planning system is needed to fulfill the task. Therefore, the objective of this Thesis is to generate a pa...
Saved in:
Main Author: | Izaty, Annisa |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/74702 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Autonomous navigation for mobile robots using deep reinforcement learning
by: Gan, Wei Han
Published: (2021) -
Large scale automatic scene generation to support deep-reinforcement-learning based navigation in autonomous mobile robots
by: Bay, Natania Yining
Published: (2024) -
Multimodal fusion for navigation of autonomous mobile robots using a deep learning method
by: Lee, Anthony Wen Hao
Published: (2023) -
Mobile robots autonomous exploration through deep reinforcement learning
by: Yin, Hanqiu
Published: (2024) -
Mobile robot navigation using deep learning
by: Wong, Ezekiel Ngan Seng
Published: (2020)