Title
On Autonomous Spatial Exploration with Small Hexapod Walking Robot using Tracking Camera Intel RealSense T265
Abstract
In this paper, we report on the deployment of the combination of commercially available off-the-shelf embedded visual localization system and RGB-D camera in an autonomous robotic exploration performed by small hexapod walking robot. Since the multi-legged walking robot is capable of traversing rough terrains, the addressed exploration problem is to create a map of an unknown environment while simultaneously performing the traversability assessment of the explored environment to efficiently and safely reach next navigational waypoints. The proposed system is targeted to run onboard of small multi-legged robots, and therefore, the system design is focused on computationally efficient approaches using relatively lightweight components. Therefore, we take advantages of the recently introduced tracking camera Intel RealSense T265 and RGB-D camera Intel RealSense D435 that are deployed to our developed autonomous hexapod walking robot that is equipped with adaptive locomotion control. Together with the proposed computationally efficient data representation and traversability assessment, the developed system supports onboard mapping and online decision-making within the exploration strategy even on a platform with low computational capabilities. Based on the reported experimental evaluation of the tracking camera, the developed system provides sufficiently accurate localization, and the robot has been able to explore indoor and outdoor environments fully autonomously.
Year
DOI
Venue
2019
10.1109/ECMR.2019.8870968
2019 European Conference on Mobile Robots (ECMR)
Keywords
Field
DocType
autonomous spatial exploration,small hexapod walking robot,off-the-shelf embedded visual localization system,autonomous robotic exploration,unknown environment,traversability assessment,explored environment,multilegged robots,system design,computationally efficient approaches,RGB-D camera Intel RealSense D435,developed autonomous hexapod walking robot,computationally efficient data representation,exploration strategy,low computational capabilities,exploration problem,tracking camera Intel RealSense T265
Computer vision,External Data Representation,Software deployment,Computer science,Terrain,Systems design,Exploration problem,Artificial intelligence,Hexapod,Robot,Traverse
Conference
ISBN
Citations 
PageRank 
978-1-7281-3606-6
2
0.39
References 
Authors
23
2
Name
Order
Citations
PageRank
Jan Bayer131.76
Jan Faigl233642.34