Obstacle Avoidance for Low-Cost UAVs

2017 ◽  
Author(s):  
Wilbert G. Aguilar ◽  
Veronica P. Casaliglla ◽  
Jose L. Polit
Keyword(s):  
Obstacle Avoidance ◽  
Low Cost

scholarly journals A Hands-Free Obstacle Detection and Avoidance System

2015 ◽  
Vol 5 (3) ◽  
pp. 801-804
Author(s):  
M. Abdul-Niby ◽  
M. Alameen ◽  
O. Irscheid ◽  
M. Baidoun ◽  
H. Mourtada
Keyword(s):  
Obstacle Avoidance ◽  
Visually Impaired ◽  
Low Cost ◽  
Cost Effective ◽  
Obstacle Detection ◽  
Text To Speech ◽  
Voice Signal ◽  
Visually Impaired People ◽  
Impaired People ◽  
The Voice

In this paper, we present a low cost hands-free detection and avoidance system designed to provide mobility assistance for visually impaired people. An ultrasonic sensor is attached to the jacket of the user and detects the obstacles in front. The information obtained is transferred to the user through audio messages and also by a vibration. The range of the detection is user-defined. A text-to-speech module is employed for the voice signal. The proposed obstacle avoidance device is cost effective, easy to use and easily upgraded.

scholarly journals Implementation of Slam, Navigation, Obstacle Avoidance, and Path Planning of a Robust Mobile Robot Using 2D Laser Scanner

2021 ◽  
Author(s):  
Omid Karimpour
Keyword(s):  
Path Planning ◽  
Obstacle Avoidance ◽  
Low Cost ◽  
Laser Scanner ◽  
Memory Consumption ◽  
Localization And Mapping ◽  
Reliable Performance ◽  
Cost Efficient ◽  
Office Environments ◽  
Robotic Applications

Over the last decade, navigation and Simultaneous Localization and Mapping (SLAM) have become key players in developing robust mobile robots. Several SLAM approaches utilizing camera, laser scan, sonar and fusion of sensors were developed and improved by a number of researchers. In this thesis, comparisons of these methods were evaluated, especially those offering low cost benefits, and low computation and memory consumption. The aim of this thesis was to select the most reliable and cost-efficient approach for indoor autonomous robotic applications. Currently, there are numerous studies that have optimized these SLAM methods; however, they still suffer from various complications such as scale drifting and excessive computation. This study performed different experiments to observe these challenges in realworld environments. A modified Pioneer robot was used to implement the selected SLAM system and furthermore, perform obstacle avoidance and path planning in indoor office environments. The results and tests show the reliable performance of Gmapping after tuning its parameter and set right configurations.

scholarly journals Quadrotor Path Following and Reactive Obstacle Avoidance with Deep Reinforcement Learning

2021 ◽  
Vol 103 (4) ◽  
Author(s):  
Bartomeu Rubí ◽  
Bernardo Morcego ◽  
Ramon Pérez
Keyword(s):  
Reinforcement Learning ◽  
Obstacle Avoidance ◽  
Low Cost ◽  
Path Following ◽  
The State ◽  
Gradient Algorithm ◽  
Avoidance Task ◽  
Learning Approaches ◽  
Reward Function ◽  
Novel Structure

AbstractA deep reinforcement learning approach for solving the quadrotor path following and obstacle avoidance problem is proposed in this paper. The problem is solved with two agents: one for the path following task and another one for the obstacle avoidance task. A novel structure is proposed, where the action computed by the obstacle avoidance agent becomes the state of the path following agent. Compared to traditional deep reinforcement learning approaches, the proposed method allows to interpret the training process outcomes, is faster and can be safely trained on the real quadrotor. Both agents implement the Deep Deterministic Policy Gradient algorithm. The path following agent was developed in a previous work. The obstacle avoidance agent uses the information provided by a low-cost LIDAR to detect obstacles around the vehicle. Since LIDAR has a narrow field-of-view, an approach for providing the agent with a memory of the previously seen obstacles is developed. A detailed description of the process of defining the state vector, the reward function and the action of this agent is given. The agents are programmed in python/tensorflow and are trained and tested in the RotorS/gazebo platform. Simulations results prove the validity of the proposed approach.

Obstacle Avoidance Scheme for RFID Based Mobile Robot in Libraries

2012 ◽  
Vol 433-440 ◽  
pp. 6802-6806 ◽  
Author(s):  
Ling Zhang ◽  
Bing Ling ◽  
Wei Luo ◽  
Xin Xin Liu ◽  
Yue Xin Pang
Keyword(s):  
Mobile Robot ◽  
Obstacle Avoidance ◽  
Radio Frequency Identification ◽  
Low Cost ◽  
Information Storage ◽  
Long Distance ◽  
Robot System ◽  
Library Management ◽  
Identification Technique ◽  
Automatic Search

This paper proposes an obstacle avoidance scheme of a novel mobile robot system for automatic search of books in libraries based on the radio frequency identification (RFID). Nowadays, most of the libraries utilize the barcode identification technique, since it is of low cost. However, our experiments show that using RFID adequately can save more labor and improve the library management efficiency, since RFID has many advantages, i.e., large information storage and long identification distance, etc., whose application in library management information system has great development potential. Based the advantages of its long-distance identification ability combined with the close accurate positioning technologies, an intelligent mobile robot system for automatic search of books anywhere in libraries is design in our project, which can effectively improve the book search efficiency, saves the massive cost and improve the library informatization level. According to this mobile robot, we give a fuzzy multisensor fusion technique based obstacle avoidance method, which can make the intelligent robot searching the desired books automatically in libraries. Both the simulation and the actual experiments validate the obstacle-avoiding algorithm.

scholarly journals Adaptation of Dubins Paths for UAV Ground Obstacle Avoidance When Using a Low Cost On-Board GNSS Sensor

Sensors ◽  
2017 ◽  
Vol 17 (10) ◽  
pp. 2223 ◽  
Author(s):  
Ramūnas Kikutis ◽  
Jonas Stankūnas ◽  
Darius Rudinskas ◽  
Tadas Masiulionis
Keyword(s):  
Obstacle Avoidance ◽  
Low Cost

scholarly journals Development of a Low-Cost Electronic Wheelchair with Obstacle Avoidance Feature

2015 ◽  
Vol 6 (2) ◽  
pp. 89 ◽  
Author(s):  
Edwin Romeroso Arboleda ◽  
Mary Christine Tumambing Alegre ◽  
Kathleen Felix Idica
Keyword(s):  
Obstacle Avoidance ◽  
Low Cost
Sign in / Sign up

Export Citation Format

Share Document