A review on object detection for autonomous mobile robot
نویسندگان
چکیده
The advancement of autonomous mobile robots (AMR) is vastly being discovered and applied to several industries. AMR contributes the development artificial intelligence (AI), which focuses on growth human-interaction systems. However, it safe understand that work closely in real-time under changing surroundings. Similarly, some limitations may affect efficiency robots. Thus, improve system's accuracy, should adopt ability detect incoming obstacles accurately. This paper presents findings a brief technology review aimed at identifying current state art future needs for object detection. presented form narrative-literature review. Review articles were collected from 2015 until 2022 journals or conference papers well-known sources like IEEE Xplore, Science Direct, Scopus, Web (WOS). analysis was discussed four main topics, AI, detection, AMR, deep learning.
منابع مشابه
Wrapper for Object Detection in an Autonomous Mobile Robot
In this paper, we address the problem of object detection in an autonomous mobile robot. The goal is to define a perceptual system that can quickly adapt itself to detect a specific object. To achieve this, we propose a goal-oriented approach to let the robot build the most fitted image descriptors for a given object.
متن کاملSemi Autonomous Mobile Robot for Mine Detection
Detection and removal of antipersonnel landmines is a serious problem of today. There is a dire need for low-cost mobile robots for the purpose of mine detection and disposal. A de-mining mobile robot has to be cost effective compared to local labor costs. Presently commercially available mobile robots consist of mainly custom made parts. The design and manufacturing of such parts make the robo...
متن کاملMethod of Object Detection for Mobile Robot
Problem statement: In general, there are two steps of object detection, which are object generation, where the locations of possible objects are in an image and object verification, where tests are performed to verify the presence of object in an image. Approach: The purpose of the proposed object recognition system was to detect the object which is in front the mobile robot so that it can send...
متن کاملAutonomous Color Learning on a Mobile Robot
Color segmentation is a challenging subtask in computer vision. Most popular approaches are computationally expensive, involve an extensive off-line training phase and/or rely on a stationary camera. This paper presents an approach for color learning on-board a legged robot with limited computational and memory resources. A key defining feature of the approach is that it works without any label...
متن کاملAutonomous Object Discovery on a Mobile Platform
This paper studies the problem of a mobile agent autonomously discovering objects within an unknown environment. We demonstrate an unsupervised clustering algorithm capable of grouping environmental features into distinct groups, and show how this clustering algorithm can be used to segment the world into seperate objects. The problem of learning the structure of the environment is also address...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IAES International Journal of Artificial Intelligence
سال: 2023
ISSN: ['2089-4872', '2252-8938']
DOI: https://doi.org/10.11591/ijai.v12.i3.pp1033-1043