A new high Performance Multisonar System for Fast Mobile Robot Applications

1995 ◽  
pp. 1-14 ◽  
Author(s):  
Uwe D. Hanebeck ◽  
Günther Schmidt
Keyword(s):  
Mobile Robot ◽  
High Performance

High Precision Ultrasonic Ranging System for Mobile Robot Navigation

2012 ◽  
Vol 249-250 ◽  
pp. 1139-1143
Author(s):  
Yan Gao ◽  
Li Na Jia ◽  
Bo Wang ◽  
Li Hua Liu ◽  
Li Ming Huang
Keyword(s):  
Mobile Robot ◽  
High Precision ◽  
High Performance ◽  
Mobile Robot Navigation ◽  
Peak Time ◽  
Single Chip ◽  
Single Chip Microcomputer ◽  
Detection Point ◽  
Environment Temperature ◽  
Ultrasonic Ranging

This paper introduces ultrasonic ranging system which can be applied to avoid obstacle and navigate for mobile robot .This system is composed of AT89S51 single chip microcomputer ,ultrasonic transmitting circuit, ultrasonic receiving circuit, amplifying and filtering circuit , peak value time detecting circuit, environment temperature compensation circuit. The method of echo peak time detection point is used to eliminate the error. It is proved that The maximum range of the system is 10 meter and maximum measurement error can be controlled to± 2 cm or so. This system has such merits as rapid corresponding, high precision, high performance price rate.

Multi-Sensor Fusion for Robot Positioning Based on Dempster-Shafer Methods

2000 ◽  
Author(s):  
Weidong Qu ◽  
Zhongliang Jing ◽  
Yugeng Xi
Keyword(s):  
Mobile Robot ◽  
Obstacle Avoidance ◽  
Sensor Fusion ◽  
High Performance ◽  
Positioning System ◽  
Laser Rangefinder ◽  
Ultrasonic Sensors ◽  
Robot Positioning ◽  
Video Sensors

Abstract This paper presents a high-performance positioning module for the mobile robot. The mobile robot is equipped with the internal and external sensors. Internal sensors are the acceleration gyroscopes. The positioning system makes use of the features of the external sensors to improve its performance: laser rangefinder ultrasonic sensors and video sensors, which were originally designed for mapping and obstacle avoidance modules, the positioning modules has demonstrated the system to work successfully in complex and uncertainty environments.

Wheelchairs Embedded Control System Design for Secure Navigation with RF Signal Triangulation

2013 ◽  
Vol 6 (2) ◽  
pp. 60-92
Author(s):  
Leonimer Flávio de Melo ◽  
Felipe Andrade Allemand Borges ◽  
João Maurício Rosário
Keyword(s):  
Control System ◽  
Mobile Robot ◽  
Autonomous Navigation ◽  
High Performance ◽  
New Technology ◽  
Orientation Angle ◽  
Nonholonomic Constraints ◽  
Digital Signal ◽  
Planning Optimization ◽  
Dsp Processors

In the mobile robotic systems a precise estimate of the robot pose (Cartesian [x y] position plus orientation angle ?) with the intention of the path planning optimization is essential for the correct performance, on the part of the robots, for tasks that are destined to it, especially when intention is for mobile robot autonomous navigation. This work uses a ToF (Time-of-Flight) of the RF digital signal interacting with beacons for computational triangulation in the way to provide a pose estimative at bi-dimensional indoor environment, where GPS system is out of range. It's a new technology utilization making good use of old ultrasonic ToF methodology that takes advantage of high performance multicore DSP processors to calculate ToF of the order about ns. A mobile robot platform with differential drive and nonholonomic constraints is used as base for state space, plants and measurements models that are used in the simulations and for validation the experiments. After being tested and validated in the simulator, the control system is programmed in the control board memory of the mobile robot or wheelchair. Thus, the use of material is optimized, firstly validating the entire model virtually and afterwards operating the physical implementation of the navigation system.

An Evaluation of Embedded GPU Systems for Visual SLAM Algorithms

2020 ◽  
Vol 2020 (6) ◽  
pp. 325-1-325-6 ◽  
Author(s):  
Tao Peng ◽  
Dingnan Zhang ◽  
Don Lahiru Nirmal Hettiarachchi ◽  
John Loomis
Keyword(s):  
Mobile Robot ◽  
High Performance ◽  
State Of The Art ◽  
Performance Evaluations ◽  
Low Power Consumption ◽  
Visual Slam ◽  
Embedded Computing ◽  
Localization And Mapping ◽  
Battery Capacity ◽  
Quantitative Performance

Simultaneous Localization and Mapping (SLAM) solves the computational problem of estimating the location of a robot and the map of the environment. SLAM is widely used in the area of navigation, odometry, and mobile robot mapping. However, the performance and efficiency of the small industrial mobile robots and unmanned aerial vehicles (UAVs) are highly constrained to the battery capacity. Therefore, a mobile robot, especially a UAV, requires low power consumption while maintaining high performance. This paper demonstrates holistic and quantitative performance evaluations of embedded computing devices that run on the Nvidia Jetson platform. Evaluations are based on the execution of two state-of-the-art Visual SLAM algorithms, ORB-SLAM2 and OpenVSLAM, on Nvidia Jetson Nano, Nvidia Jetson TX2, and Nvidia Jetson Xavier.

A new path planning method of mobile robot based on adaptive dynamic firefly algorithm

2020 ◽  
Vol 34 (29) ◽  
pp. 2050322
Author(s):  
Guanghui Xu ◽  
Ting-Wei Zhang ◽  
Qiang Lai ◽  
Jian Pan ◽  
Bo Fu ◽  
...  
Keyword(s):  
Path Planning ◽  
Mobile Robot ◽  
High Performance ◽  
Firefly Algorithm ◽  
Optimal Solution ◽  
Robot Path Planning ◽  
Adaptive Parameters ◽  
Local Optimal Solution ◽  
Reaction Speed ◽  
Robot Path

Path planning has always been a hot topic in the field of mobile robot research. At present, the mainstream issues of the mobile robot path planning are combined with the swarm intelligence algorithms. Among them, the firefly algorithm is more typical. The firefly algorithm has the advantages of simple concepts and easy implementation, but it also has the disadvantages of being easily trapped into a local optimal solution, with slow convergence speed and low accuracy. To better combine the path planning of mobile robot with firefly algorithm, this paper studies the optimization firefly algorithm for the path planning of mobile robot. By using the strategies of optimizing the adaptive parameters in the firefly algorithm, an adaptive firefly algorithm is designed to solve the problem that the firefly algorithm is easy to get into the local optimal solution and improves the performance of firefly algorithm. The optimized algorithm with high performance can improve the computing ability and reaction speed of the mobile robot in the path planning. Finally, the theoretical and experimental results have verified the effectiveness and superiority of the proposed algorithm, which can meet the requirements of the mobile robot path planning.

High performance vision tracking system for mobile robot using sensor data fusion with Kalman filter

2010 ◽  
Author(s):  
Jaehong Park ◽  
Wonsang Hwang ◽  
Hyun-il Kwon ◽  
Jong-hyeon Kim ◽  
Chang-hun Lee ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Data Fusion ◽  
Mobile Robot ◽  
High Performance ◽  
Tracking System ◽  
Sensor Data ◽  
Sensor Data Fusion

Environmental Modeling Based on Ultrasonic Ranging

2013 ◽  
Vol 341-342 ◽  
pp. 1210-1215
Author(s):  
Jun Hui Wu ◽  
Tong Di Qin ◽  
Hui Ping Si ◽  
Jie Chen ◽  
Kai Yan Lin ◽  
...  
Keyword(s):  
Decision Making ◽  
Path Planning ◽  
Mobile Robot ◽  
High Performance ◽  
Measurement Data ◽  
Environmental Modeling ◽  
Complex Environment ◽  
Ultrasonic Ranging ◽  
Characteristics Analysis ◽  
Grid Based

In order to deal with the conflict of the robot high-performance implementing the task in an uncertain environment, environmental modeling method based on ultrasonic ranging was adopted. By the complex environmental modeling mean of combining the methods of grid and geometry, relying the measurement data of the adjacent multi-ultrasonic and the correlation among the data, the environmental modeling was established effectively. The modeling characteristics analysis showed that: the robot can easily make obstacle avoidance, path planning and decision-making in the grid-based modeling. The accuracy of the modeling is high, and it can detect and update the complex regional expediently. The environmental modeling based on ultrasonic ranging can effectively solve the problem of mobile robot implementing the tasks efficiently in the actual complex environment.

Low-cost high-performance mobile robot design utilizing off-the-shelf parts and the Beowulf concept: the Beobot project

2003 ◽  
Author(s):  
Terrell N. Mundhenk ◽  
Christopher Ackerman ◽  
Daesu Chung ◽  
Nitin Dhavale ◽  
Brian Hudson ◽  
...  
Keyword(s):  
Mobile Robot ◽  
High Performance ◽  
Low Cost ◽  
Robot Design
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