Multimodal real-world mapping and navigation system for autonomous mobile robots based on neural maps

1992 ◽  
Author(s):  
Jose L. Contreras-Vidal ◽  
J. M. Aguilar ◽  
Juan Lopez-Coronado ◽  
Eduardo Zalama
Keyword(s):  
Mobile Robots ◽  
Real World ◽  
Navigation System ◽  
Autonomous Mobile Robots ◽  
Neural Maps

Pre-Driving Needless System for Autonomous Mobile Robots Navigation in Real World Robot Challenge 2013

2014 ◽  
Vol 26 (2) ◽  
pp. 185-195 ◽  
Author(s):  
Masanobu Saito ◽  
◽  
Kentaro Kiuchi ◽  
Shogo Shimizu ◽  
Takayuki Yokota ◽  
...  
Keyword(s):  
Mobile Robots ◽  
Real World ◽  
Urban Areas ◽  
Human Life ◽  
Dead Reckoning ◽  
Point Clouds ◽  
Autonomous Mobile Robots ◽  
Navigation Systems ◽  
Global Planning ◽  
The Web

This paper describes navigation systems for autonomous mobile robots taking part in the real-world Tsukuba Challenge 2013 robot competition. Tsukuba Challenge 2013 enables any information on the route to be collected beforehand and used on the day of the challenge. At the same time, however, autonomous mobile robots should function appropriately in daily human life even in areas where they have never been before. System thus need not capture pre-driving details. We analyzed traverses in complex urban areas without prior environmental information using light detection and ranging (LIDAR). We also determined robot status, such as its position and orientation using the gauss maps derived from LIDAR without gyro sensors. Dead reckoning was combined with wheel odometry and orientation from above. We corrected 2D robot poses by matching electronics maps from the Web. Because drift inevitably causes errors, slippage and failure, etc., our robot also traced waypoints derived beforehand from the same electronics map, so localization is consistent even if we do not drive through an area ahead of time. Trajectory candidates are generated along global planning routes based on these waypoints and an optimal trajectory is selected. Tsukuba Challenge 2013 required that robots find specified human targets indicated by features released on the Web. To find the target correctly without driving in Tsukuba beforehand, we searched for point cloud clusters similar to specified human targets based on predefined features. These point clouds were then projected on the camera image at the time, and we extracted points of interest such as SURF to apply fast appearance-based mapping (FAB-MAP). This enabled us to find specified targets highly accurately. To demonstrate the feasibility of our system, experiments were conducted over our university route and over that in the Tsukuba Challenge.

Special Issue on Real World Robot Challenge in Tsukuba – Autonomous Technology for Useful Mobile Robot –

2015 ◽  
Vol 27 (4) ◽  
pp. 317-317 ◽  
Author(s):  
Yoshihiro Takita ◽  
Shin’ichi Yuta ◽  
Takashi Tsubouchi ◽  
Koichi Ozaki
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Real World ◽  
Autonomous Mobile Robots ◽  
Test Field ◽  
Human Beings ◽  
Special Issue ◽  
Problems And Solutions ◽  
Technological Challenge ◽  
Autonomous Technology

The first Tsukuba Challenge started in 2007 as a technological challenge for autonomous mobile robots moving around on city walkways. A task was then added involving the search for certain persons. In these and other ways, the challenge provides a test field for developing positive relationships between mobile robots and human beings. To make progress an autonomous robotic research, this special issue details and clarifies technological problems and solutions found by participants in the challenge. We sincerely thank the authors and reviewers for this chance to work with them in these important areas.

scholarly journals A one decade survey of autonomous mobile robot systems

2021 ◽  
Vol 11 (6) ◽  
pp. 4891
Author(s):  
Noor Abdul Khaleq Zghair ◽  
Ahmed S. Al-Araji
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Real World ◽  
Control Unit ◽  
Global Market ◽  
Autonomous Mobile Robots ◽  
Modern World ◽  
Navigation Systems ◽  
Private Households ◽  
Robot Systems

<span lang="EN-US">Recently, autonomous mobile robots have gained popularity in the modern world due to their relevance technology and application in real world situations. The global market for mobile robots will grow significantly over the next 20 years. Autonomous mobile robots are found in many fields including institutions, industry, business, hospitals, agriculture as well as private households for the purpose of improving day-to-day activities and services. The development of technology has increased in the requirements for mobile robots because of the services and tasks provided by them, like rescue and research operations, surveillance, carry heavy objects and so on. Researchers have conducted many works on the importance of robots, their uses, and problems. This article aims to analyze the control system of mobile robots and the way robots have the ability of moving in real-world to achieve their goals. It should be noted that there are several technological directions in a mobile robot industry. It must be observed and integrated so that the robot functions properly: Navigation systems, localization systems, detection systems (sensors) along with motion and kinematics and dynamics systems. All such systems should be united through a control unit; thus, the mission or work of mobile robots are conducted with reliability.</span>

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