scholarly journals Wall-E Surveyor Robot using Wireless Networks

2015 ◽  
Vol 4 (2) ◽  
pp. 143
Author(s):  
Aatish Chandak ◽  
Arjun Aravind ◽  
Nithin Kamath
Keyword(s):  
Wireless Networks ◽  
Real Time ◽  
Real World ◽  
Autonomous Navigation ◽  
Remote Access ◽  
Outdoor Environment ◽  
Ultrasonic Sensors ◽  
Moving Obstacles ◽  
Area Of Interest ◽  
World Environment

The methods for autonomous navigation of a robot in a real world environment is an area of interest for current researchers. Although there have been a variety of models developed, there are problems with regards to the integration of sensors for navigation in an outdoor environment like moving obstacles, sensor and component accuracy. This paper details an attempt to develop an autonomous robot prototype using only ultrasonic sensors for sensing the environment and GPS/ GSM and a digital compass for position and localization. An algorithm for the navigation based on reactive behaviour is presented. Once the robot has navigated to its final location based on remote access by the owner, it surveys the geographical region and uploads the real time images to the owner using an API that is developed for the Raspberry PI’s kernel.

scholarly journals Real-Time Swarm Search Method for Real-World Quadcopter Drones

2018 ◽  
Vol 8 (7) ◽  
pp. 1169 ◽  
Author(s):  
Ki-Baek Lee ◽  
Young-Joo Kim ◽  
Young-Dae Hong
Keyword(s):  
Real Time ◽  
Optimization Algorithm ◽  
Real World ◽  
Particle Swarm Optimization Algorithm ◽  
Search Method ◽  
Air Pollutant ◽  
Function Optimization ◽  
Benchmark Function ◽  
World Environment ◽  
Repeated Test

This paper proposes a novel search method for a swarm of quadcopter drones. In the proposed method, inspired by the phenomena of swarms in nature, drones effectively look for the search target by investigating the evidence from the surroundings and communicating with each other. The position update mechanism is implemented using the particle swarm optimization algorithm as the swarm intelligence (a well-known swarm-based optimization algorithm), as well as a dynamic model for the drones to take the real-world environment into account. In addition, the mechanism is processed in real-time along with the movements of the drones. The effectiveness of the proposed method was verified through repeated test simulations, including a benchmark function optimization and air pollutant search problems. The results show that the proposed method is highly practical, accurate, and robust.

Autonomous Mobile Robot Searching for Persons with Specific Clothing on Urban Walkway

2017 ◽  
Vol 29 (4) ◽  
pp. 649-659 ◽  
Author(s):  
Ryohsuke Mitsudome ◽  
◽  
Hisashi Date ◽  
Azumi Suzuki ◽  
Takashi Tsubouchi ◽  
...  
Keyword(s):  
Object Recognition ◽  
Mobile Robot ◽  
Real Time ◽  
Real World ◽  
Laser Scanner ◽  
High Accuracy ◽  
Autonomous Mobile Robot ◽  
World Environment

In order for a robot to provide service in a real world environment, it has to navigate safely and recognize the surroundings. We have participated in Tsukuba Challenge to develop a robot with robust navigation and accurate object recognition capabilities. To achieve navigation, we have introduced the ROS packages, and the robot was able to navigate without major collisions throughout the challenge. For object recognition, we used both a laser scanner and camera to recognize a person in specific clothing, in real time and with high accuracy. In this paper, we evaluate the accuracy of recognition and discuss how it can be improved.

Real-time visualization reconstruction in a real-world environment using Augmented Reality.

2021 ◽  
Author(s):  
Tiago Davi Oliveira de Araujo ◽  
Beatriz Sousa Santos ◽  
Carlos Gustavo Resque dos Santos ◽  
Bianchi Serique Meiguins
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Real World ◽  
Real Time Visualization ◽  
World Environment

Relationship Marketing Through Virtual Reality and Augmented Reality

2020 ◽  
pp. 1-12
Author(s):  
Anjali Daisy
Keyword(s):  
Virtual Reality ◽  
Augmented Reality ◽  
Real Time ◽  
Relationship Marketing ◽  
Real World ◽  
Visual Information ◽  
Great Capacity ◽  
Potential Customers ◽  
World Environment ◽  
Additional Hardware

Augmented reality (AR) refers to the layering of visual information onto a live picture of your physical surroundings, enhancing the real-world environment in real-time. Both Snapchat and Instagram filters are current examples of augmented reality. Since this technology has shown its ability to catch users, more and more brands are using it to engage current and potential customers. In an environment where almost everyone has a Smartphone, augmented reality seems like an obvious next step since there is no need for the additional hardware. It is generally quite straightforward for people to use, and has a great capacity to enhance the effects of marketing.

Real-time gait event detection in a real-world environment using a laser-ranging sensor and gyroscope fusion method

2018 ◽  
Vol 39 (12) ◽  
pp. 125003
Author(s):  
Qing Ji ◽  
Lilin Yang ◽  
Wang Li ◽  
Congcong Zhou ◽  
Xuesong Ye
Keyword(s):  
Real Time ◽  
Real World ◽  
Event Detection ◽  
Laser Ranging ◽  
Fusion Method ◽  
World Environment

scholarly journals UAV Obstacle Avoidance Algorithm to Navigate in Dynamic Building Environments

Drones ◽  
2022 ◽  
Vol 6 (1) ◽  
pp. 16
Author(s):  
Enrique Aldao ◽  
Luis M. González-deSantos ◽  
Humberto Michinel ◽  
Higinio González-Jorge
Keyword(s):  
Real Time ◽  
Collision Avoidance ◽  
Obstacle Avoidance ◽  
Autonomous Navigation ◽  
Point Cloud ◽  
Progress Monitoring ◽  
Flight Trajectory ◽  
Moving Obstacles ◽  
Current Implementation ◽  
Construction Progress Monitoring

In this work, a real-time collision avoidance algorithm was presented for autonomous navigation in the presence of fixed and moving obstacles in building environments. The current implementation is designed for autonomous navigation between waypoints of a predefined flight trajectory that would be performed by an UAV during tasks such as inspections or construction progress monitoring. It uses a simplified geometry generated from a point cloud of the scenario. In addition, it also employs information from 3D sensors to detect and position obstacles such as people or other UAVs, which are not registered in the original cloud. If an obstacle is detected, the algorithm estimates its motion and computes an evasion path considering the geometry of the environment. The method has been successfully tested in different scenarios, offering robust results in all avoidance maneuvers. Execution times were measured, demonstrating that the algorithm is computationally feasible to be implemented onboard an UAV.

scholarly journals A Robust Real-Time 3D Reconstruction Method for Mixed Reality Telepresence

2020 ◽  
Vol 10 (2) ◽  
Author(s):  
Fazliaty Edora Fadzli ◽  
Ajune Wanis Ismail
Keyword(s):  
3D Reconstruction ◽  
Real Time ◽  
Real World ◽  
Mixed Reality ◽  
Real Life ◽  
Reconstruction Method ◽  
Reconstruction Methods ◽  
Virtual Element ◽  
World Environment ◽  
Full Body

Mixed Reality (MR) is a technology which enable to bring a virtual element into the real-world environment. MR intends to improve reality on the virtual world immerse onto real-world space. Occasionally the MR has been improved as the display technologies advanced progressively. In MR collaborative interface context, the local and remote user work together on collaborative task while sense the immersive environment in the cooperative application. User telepresence is an immersive telepresence, where the reconstruction of a human appears in a real-life. Up till now, producing full telepresence of the life-size human body may require a high transmission bandwidth of the internet. Therefore, this paper explores on a robust real-time 3D reconstruction method for MR telepresence. This paper discusses the previous works on the reconstruction method of a full-body human and the existing research works that have proposed the reconstruction methods for telepresence. Besides the 3D reconstruction method, this paper also enlightens our recent finding on the MR framework to transport a full-body human from a local location to a remote location. The MR telepresence will be discussed, as well as the robust 3D reconstruction method which has been implemented with user telepresence feature where the user experiences an accurate 3D representation of a remote person. The paper ends with the discussion and results, MR telepresence with robust 3D reconstruction method to execute user telepresence.

scholarly journals Fuzzy Logic Controller Design for Intelligent Robots

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Ching-Han Chen ◽  
Chien-Chun Wang ◽  
Yi Tun Wang ◽  
Po Tung Wang
Keyword(s):  
Fuzzy Logic ◽  
Real World ◽  
Field Programmable Gate Array ◽  
Fuzzy Logic Controller ◽  
Controller Design ◽  
Complex Environments ◽  
Ultrasonic Sensors ◽  
Intelligent Robots ◽  
Field Programmable ◽  
World Environment

This paper presents a fuzzy logic controller by which a robot can imitate biological behaviors such as avoiding obstacles or following walls. The proposed structure is implemented by integrating multiple ultrasonic sensors into a robot to collect data from a real-world environment. The decisions that govern the robot’s behavior and autopilot navigation are driven by a field programmable gate array- (FPGA-) based fuzzy logic controller. The validity of the proposed controller was demonstrated by simulating three real-world scenarios to test the bionic behavior of a custom-built robot. The results revealed satisfactorily intelligent performance of the proposed fuzzy logic controller. The controller enabled the robot to demonstrate intelligent behaviors in complex environments. Furthermore, the robot’s bionic functions satisfied its design objectives.

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