Design and implementation of an open autonomous mobile robot system

2004 ◽  
Author(s):  
Jianqiang Jia ◽  
Weidong Chen ◽  
Yugeng Xi
Keyword(s):  
Mobile Robot ◽  
Autonomous Mobile Robot ◽  
Robot System ◽  
Design And Implementation

An autonomous Mobile Robot System based on Serverless Computing and Edge Computing

2020 ◽  
Author(s):  
Tri Thong Tran ◽  
Yu-Chen Zhang ◽  
Wei-Tung Liao ◽  
Yu-Jen Lin ◽  
Ming-Chia Li ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Edge Computing ◽  
Autonomous Mobile Robot ◽  
Robot System

Development of Adaptive Production System to Market Uncertainty - Autonomous Mobile Robot System -

2001 ◽  
pp. 383-388
Author(s):  
Mineo HANAI ◽  
Hitoshi HIBI ◽  
Tatsumi NAKASAI ◽  
Kazuaki KAWAMURA ◽  
Hiroyuki TERADA
Keyword(s):  
Mobile Robot ◽  
Production System ◽  
Autonomous Mobile Robot ◽  
Market Uncertainty ◽  
Robot System

scholarly journals Simulation of Autonomous Mobile Robot System for Food Delivery in In-patient Ward with Unity

2020 ◽  
Author(s):  
Supachai Vongbunyong ◽  
Salil Parth Tripathi ◽  
Kitti Thamrongaphichartkul ◽  
Nitisak Worrasittichai ◽  
Aphisit Takutruea ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Food Delivery ◽  
Autonomous Mobile Robot ◽  
Robot System

scholarly journals Autonomous Mobile Robot based on BehaviourBased Robotic using V-REP Simulator–Pioneer P3-DX Robot

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Esa Apriaskar ◽  
Fahmizal Fahmizal ◽  
Ika Cahyani ◽  
Afrizal Mayub
Keyword(s):  
Mobile Robot ◽  
Pid Controller ◽  
Robot Navigation ◽  
Maximum Deviation ◽  
Autonomous Mobile Robot ◽  
Proportional Integral Derivative ◽  
Home Position ◽  
Robot System ◽  
Wall Distance ◽  
Exploration Mission

This article describes the design and implementation of behavior-based robotic (BBR) algorithm on a wheeled mobile robot (WMR) Pioneer P3-DX in a maze exploration mission using V-REP simulator. This robot must trace and search for targets placed randomly on a labyrinth. After successfully meeting the objective, robot runs back to home position using the nearest path. Robot navigation system applies BBR algorithm to reach the target using behavior modules which work simultaneously to obtain the desired robot’s trajectory. The most fundamental behavior which is highly affordable to build on the robot system is a wall-following behavior. To make the robot could follow the wall in a safe, smooth and responsive condition, proportional-integral-derivative (PID) controller is applied. PID controller runs by utilizing the reading of sixteen proximity sensors carried on Pioneer P3-DX robot toward the expected wall distance while the robot is exploring the labyrinth. To ensure the designed system works properly, several tests were conducted, including BBR test and PID controller test. BBR test shows that the system can choose the shortest track when returning to home position. The PID controller test produces robot movement with maximum deviation and settling time for about 0.013 m and 30 seconds, respectively.

Sign in / Sign up

Export Citation Format

Share Document