Towards a Low-Cost Robot Navigation Approach based on a RGB-D Sensor Network

Bertoni, Massimiliano; Michieletto, Stefano; Michieletto, Giulia

doi:10.1109/amc51637.2022.9729292

Cited by 1 publication

(1 citation statement)

References 12 publications

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“…The basic 2D-SLAM can only solve some fundamental problems such as the 2D lidar-based SLAM [4]. The next wave of robotics applications will only be possible with reliable and established methods that rely on RGB-D sensors and cameras that are reasonably inexpensive [5]. This report will use virtual machine to simulate the autonomous navigation in various environments with RTAB-MAP algorithm and intelligent inspection to see the performance of this method.…”

Section: Introductionmentioning

confidence: 99%

SLAM based vision self-navigation robot with RTAB-MAP algorithm

Wang¹

2023

ACE

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The classic 2D SLAM are not good enough in nowadays environment. This report uses virtual machine with Ubuntu based Slam_bot package, based on the RTAB-MAP algorithm and Vision SLAM mapping to simulate the four-wheeled robot to autonomously navigate to the target point in various environments. Also, this report introduces a RGBD-SLAM based algorithm which combines the visual and depth data to process the data collect from the sensors. This robot has many sensors like, lidar sensors, RGB vision camera and odometry sensors. To see how the RTAB-MAP algorithm with RGB-D sensor replace for the 2D SALM. As results, the robot with RGB-D and RTAB-MAP algorithms have very good performance. The results show that the navigation system can complete the navigation and localization in lots of complex situations. However, some problems still exist, the speed of the robot is not fast. This may limit the application of the self-navigation robot to a certain extent, like some emergency occasion.

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Section: Introductionmentioning

confidence: 99%

SLAM based vision self-navigation robot with RTAB-MAP algorithm

Wang¹

2023

ACE

View full text Add to dashboard Cite

show abstract

Towards a Low-Cost Robot Navigation Approach based on a RGB-D Sensor Network

Cited by 1 publication

References 12 publications

SLAM based vision self-navigation robot with RTAB-MAP algorithm

SLAM based vision self-navigation robot with RTAB-MAP algorithm

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